The paper deals with the procedure of explaining the secondary immune response. First, the basic concepts of the mechanistic account of explanation developed by Machamer, Darden and Craver will be considered. Subsequently, I will focus on the concepts describing the activation of the elements of the immunological system viewed as a signal decoding process. The analysis will make it possible to argue for the thesis that the explanations of the secondary immune response, formulated in immunology, aim to describe the (...) possible procedures of simplifying the signal decoding process. The following considerations will make it possible to show the specificity of the mechanistic explanations formulated in immunology, and to demonstrate their significance for medical sciences. (shrink)

The principal goal of the brain-computer interface is to translate brain signals into meaningful commands to control external devices or neuroprostheses to restore lost functions of patients with severe motor disabilities. The invasive recording of brain signals involves numerous health issues. Therefore, BCIs based on non-invasive recording modalities such as electroencephalography are safer and more comfortable for the patients. The BCI requires reconstructing continuous movement parameters such as position or velocity for practical application of neuroprostheses. The BCI studies (...) in continuous decoding have extensively relied on extracting features from the amplitude of brain signals, whereas the brain connectivity features have rarely been explored. This study aims to investigate the feasibility of using phase-based connectivity features in decoding continuous hand movements from EEG signals. To this end, the EEG data were collected from seven healthy subjects performing a 2D center-out hand movement task in four orthogonal directions. The phase-locking value and magnitude-squared coherence are exploited as connectivity features along with multiple linear regression for decoding hand positions. A brute-force search approach is employed to find the best channel pairs for extracting features related to hand movements. The results reveal that the regression models based on PLV and MSC features achieve the average Pearson correlations of 0.43 ± 0.03 and 0.42 ± 0.06, respectively, between predicted and actual trajectories over all subjects. The delta and alpha band features have the most contribution in regression analysis. The results also demonstrate that both PLV and MSC decoding models lead to superior results on our data compared to two recently proposed feature extraction methods solely based on the amplitude or phase of recording signals. This study verifies the ability of PLV and MSC features in the continuous decoding of hand movements with linear regression. Thus, our findings suggest that extracting features based on brain connectivity can improve the accuracy of trajectory decoder BCIs. (shrink)

As the demand for prosthetic limbs with reliable and multi-functional control increases, recent advances in myoelectric pattern recognition and implanted sensors have proven considerably advantageous. Additionally, sensory feedback from the prosthesis can be achieved via stimulation of the residual nerves, enabling closed-loop control over the prosthesis. However, this stimulation can cause interfering artifacts in the electromyographic (EMG) signals which deteriorate the reliability and function of the prosthesis. Here, we implement two real-time stimulation artifact removal algorithms, Template Subtraction (TS) and (...) ε-Normalized Least Mean Squares (ε-NLMS), and investigate their performance in offline and real-time myoelectric pattern recognition in two transhumeral amputees implanted with nerve cuff and EMG electrodes. We show that both algorithms are capable of significantly improving signal-to-noise ratio (SNR) and offline pattern recognition accuracy of artifact-corrupted EMG signals. Furthermore, both algorithms improved real-time decoding of motor intention during active neurostimulation. Although these outcomes are dependent on the user-specific sensor locations and neurostimulation settings, they nonetheless represent progress toward bi-directional neuromusculoskeletal prostheses capable of multifunction control and simultaneous sensory feedback. (shrink)

Currently, the most used method to measure brain activity under a non-invasive procedure is the electroencephalogram (EEG). This is because of its high temporal resolution, ease of use, and safety. These signals can be used under a Brain Computer Interface (BCI) framework, which can be implemented to provide a new communication channel to people that are unable to speak due to motor disabilities or other neurological diseases. Nevertheless, EEG-based BCI systems have presented challenges to be implemented in real life (...) situations for imagined speech recognition due to the difficulty to interpret EEG signals because of their low signal-to-noise ratio (SNR). As consequence, in order to help the researcher make a wise decision when approaching this problem, we offer a review article that sums the main findings of the most relevant studies on this subject since 2009. This review focuses mainly on the pre-processing, feature extraction, and classification techniques used by several authors, as well as the target vocabulary. Furthermore, we propose ideas that may be useful for future work in order to achieve a practical application of EEG-based BCI systems toward imagined speech decoding. (shrink)

This article seeks to go beyond the implied assumption from previous research that job candidate attraction to corporate social practices is equivalent across individuals. To this end, we propose a framework for categorizing individuals' attraction to different corporate social performance profiles. Our framework is grounded in relational models theory and Mitroff's model of managers' “ideal organizations.” An inductive approach was used to elaborate upon the model and assess the extent to which candidates preferences vary. Data were collected from prospective job (...) seekers regarding their attraction to social practices that benefit or harm various stakeholders, and these responses were used to develop profiles of job candidates' attraction to distinct profiles of organizations' social practices. The results provide a guide for managers who wish to improve the likelihood that an organization's social practices reflect what is best about its culture. (shrink)

The term ‘locked-in’ syndrome (LIS) describes a medical condition in which persons concerned are severely paralyzed and at the same time fully conscious and awake. The resulting anarthria makes it impossible for these patients to naturally communicate, which results in diagnostic as well as serious practical and ethical problems. Therefore, developing alternative, muscle-independent communication means is of prime importance. Such communication means can be realized via brain–computer interfaces (BCIs) circumventing the muscular system by using brain signals associated with preserved (...) cognitive, sensory, and emotional brain functions. Primarily, BCIs based on electrophysiological measures have been developed and applied with remarkable success. Recently, also blood flow–based neuroimaging methods, such as functional magnetic resonance imaging (fMRI) and functional near-infrared spectroscopy (fNIRS), have been explored in this context. After reviewing recent literature on the development of especially hemodynamically based BCIs, we introduce a highly reliable and easy-to-apply communication procedure that enables untrained participants to motor-independently and relatively effortlessly answer multiple-choice questions based on intentionally generated single-trial fMRI signals that can be decoded online. Our technique takes advantage of the participants’ capability to voluntarily influence certain spatio-temporal aspects of the blood oxygenation level–dependent (BOLD) signal: source location (by using different mental tasks), signal onset and offset. We show that healthy participants are capable of hemodynamically encoding at least four distinct information units on a single-trial level without extensive pretraining and with little effort. Moreover, realtime data analysis based on simple multi-filter correlations allows for automated answer decoding with a high accuracy (94.9%) demonstrating the robustness of the presented method.. (shrink)

The motivation of someone who is locked-in, that is, paralyzed and mute, is to find relief for their loss of function. The data presented in this report is part of an attempt to restore one of those lost functions, namely, speech. An essential feature of the development of a speech prosthesis is optimal decoding of patterns of recorded neural signals during silent or covert speech, that is, speaking “inside the head” with output that is inaudible due to the (...) paralysis of the articulators. The aim of this paper is to illustrate the importance of both fast and slow single unit firings recorded from an individual with locked-in syndrome and from an intact participant speaking silently. Long duration electrodes were implanted in the motor speech cortex for up to 13 years in the locked-in participant. The data herein provide evidence that slow firing single units are essential for optimal decoding accuracy. Additional evidence indicates that slow firing single units can be conditioned in the locked-in participant 5 years after implantation, further supporting their role in decoding. (shrink)

Decoding the function and meaning of a foreign culture's sounds and gestures is a notoriously difficult problem. It is even more challenging when we think about the sounds and gestures of nonhuman animals. This essay provides a review of what is currently known about the informational content and function of primate vocalizations, emphasizing the problems underlying the construction of a primate “dictionary.” In contrast to the Oxford English Dictionary, this dictionary provides entries to emotional expressions as well as potentially (...) referential expressions. It therefore represents a guide to what animals do with their vocalizations, as well as how they are represented by signalers and perceivers. I begin by a discussion of the unit problem, of how an acoustic space is carved up into functionally significant components leading to a species‐specific repertoire or lexicon of sorts. This section shows how little we know about the units of organization within animal vocal repertoires, and how such lack of information constrains our ability to tackle the problem of syntactic structure. In Section III, I review research on the production and perception of vocal signals that appear to be functionally referential. This work shows that several nonhuman primates produce vocalizations that share some of the key properties of reference, but certainly not all; the components that are missing raises questions about their role as precursors to human words. In Section IV, I explore the social uses of vocalizations, assessing whether the signal contains sufficient information for listeners to judge a caller's credibility; ultimately, caller credibility determines how receivers select an appropriate response. Results show that individuals can use calls to assess whether someone is reliable or unreliable, and that such attributes are associated with individuals and particular contexts. I conclude by synthesizing the issues presented and then raise some directions for future conceptual and methodological progress. (shrink)

The synthetic, integrative significance of biosemiotics as a modern interdisciplinary research program is under discussion in the article. Aimed at studying the cognitive and life activity of living beings, which are capable of recognizing signals and extracting the meanings, biosemiotics serves as a conceptual node that combines some important notions of theoretical biology, evolutionary epistemology, cognitive science, phenomenology, neuroscience and neurophilosophy as well as the theory of complex adaptive systems and network science. Worlds of perception and actions of living (...) beings are built in the process of co-evolution, in structural coupling and in enactive interaction with the surrounding natural environment (Umwelt). Thereby the biosemiotic theories developed by the founders of biosemiotics (J. von Uexküll, Th. Sebeok, G. Prodi, H. Pattie) are conceptually closed to the system-structural evolutionary approach developed in synergetics by H. Haken and S.P. Kurdyumov, the conception of autopoiesis (H. Maturana and F. Varela), second-order cybernetics (H. von Foerster), the conception of enactivism in cognitive science (F. Varela, E. Thompson, A. Noë). The key to comprehending the processes of extracting and generating meanings is that every living organism lives in the subjectively built world (Umwelt), so that its Umwelt and its internal psychic organization become parts of a single autopoietic system. According to the well-known expression of G. Bateson, information is a not indifferent difference or a difference that makes a difference. Differences become information when a cognitive agent as an interpreter, acting as part of an autopoietic system, sees signs in these differences that make meanings. (shrink)

A brain-computer interface technology that can decode the neural signals associated with attempted but unarticulated speech could offer a future efficient means of communication for people with severe motor impairments. Recent demonstrations have validated this approach. Here we assume that it will be possible in future to decode imagined (i.e., attempted but unarticulated) speech in people with severe motor impairments, and we consider the characteristics that could maximize the social utility of a BCI for communication. As a social interaction, (...) communication involves the needs and goals of both speaker and listener, particularly in contexts that have significant potential consequences. We explore three high-consequence legal situations in which neurally-decoded speech could have implications:Testimony, where decoded speech is used as evidence;Consent and Capacity, where it may be used as a means of agency and participation such as consent to medical treatment; andHarm, where such communications may be networked or may cause harm to others. We then illustrate how design choices might impact the social and legal acceptability of these technologies. (shrink)

People dedicate significant attention to others’ facial expressions and to deciphering their meaning. Hence, knowing whether such expressions are genuine or deliberate is important. Early research proposed that authenticity could be discerned based on reliable facial muscle activations unique to genuine emotional experiences that are impossible to produce voluntarily. With an increasing body of research, such claims may no longer hold up to empirical scrutiny. In this article, expression authenticity is considered within the context of senders’ ability to produce convincing (...) facial displays that resemble genuine affect and human decoders’ judgments of expression authenticity. This includes a discussion of spontaneous vs. posed expressions, as well as appearance- vs. elicitation-based approaches for defining emotion recognition accuracy. We further expand on the functional role of facial displays as neurophysiological states and communicative signals, thereby drawing upon the encoding-decoding and affect-induction perspectives of emotion expressions. Theoretical and methodological issues are addressed with the aim to instigate greater conceptual and operational clarity in future investigations of expression authenticity. (shrink)

Several studies showed evidence supporting the possibility of hand trajectory decoding from low-frequency electroencephalography. However, the decoding in the source space via source localization is scarcely investigated. In this study, we tried to tackle the problem of collinearity due to the higher number of signals in the source space by two folds: first, we selected signals in predefined regions of interest ; second, we applied dimensionality reduction techniques to each ROI. The dimensionality reduction techniques were computing (...) the mean, principal component analysis, and locality preserving projections. We also investigated the effect of decoding between utilizing a template head model and a subject-specific head model during the source localization. The results indicated that applying source-space decoding with PCA yielded slightly higher correlations and signal-to-noise ratios than the sensor-space approach. We also observed slightly higher correlations and SNRs when applying the subject-specific head model than the template head model. However, the statistical tests revealed no significant differences between the source-space and sensor-space approaches and no significant differences between subject-specific and template head models. The decoder with Mean and PCA utilizes information mainly from precuneus and cuneus to decode the velocity kinematics similarly in the subject-specific and template head models. (shrink)

A novel method for ECG signal outlier processing based on autoencoder neural networks is presented in the article. Typically, heartbeats with serious waveform distortions are treated as outliers and are skipped from the authentication pipeline. The main idea of the paper is to correct these waveform distortions rather them in order to provide the system with better statistical base. During the experiments, the optimum autoencoder architecture was selected. An open Physionet ECGID database was used to verify the proposed method. The (...) results of the studies were compared with previous studies that considered the correction of anomalies based on a statistical approach. On the one hand, the autoencoder shows slightly lower accuracy than the statistical method, but it greatly simplifies the construction of biometric identification systems, since it does not require precise tuning of hyperparameters. (shrink)

Convolutional neural networks, which automatically learn features from raw data to approximate functions, are being increasingly applied to the end-to-end analysis of electroencephalographic signals, especially for decoding brain states in brain-computer interfaces. Nevertheless, CNNs introduce a large number of trainable parameters, may require long training times, and lack in interpretability of learned features. The aim of this study is to propose a CNN design for P300 decoding with emphasis on its lightweight design while guaranteeing high performance, on (...) the effects of different training strategies, and on the use of post-hoc techniques to explain network decisions. The proposed design, named MS-EEGNet, learned temporal features in two different timescales in an efficient and optimized way, and was validated on three P300 datasets. The CNN was trained using different strategies and was compared with several state-of-the-art algorithms. Furthermore, variants of the baseline MS-EEGNet were analyzed to evaluate the impact of different hyper-parameters on performance. Lastly, saliency maps were used to derive representations of the relevant spatio-temporal features that drove CNN decisions. MS-EEGNet was the lightest CNN compared with the tested SOA CNNs, despite its multiple timescales, and significantly outperformed the SOA algorithms. Post-hoc hyper-parameter analysis confirmed the benefits of the innovative aspects of MS-EEGNet. Furthermore, MS-EEGNet did benefit from transfer learning, especially using a low number of training examples, suggesting that the proposed approach could be used in BCIs to accurately decode the P300 event while reducing calibration times. Representations derived from the saliency maps matched the P300 spatio-temporal distribution, further validating the proposed decoding approach. This study, by specifically addressing the aspects of lightweight design, transfer learning, and interpretability, can contribute to advance the development of deep learning algorithms for P300-based BCIs. (shrink)

Advances in intracranial electroencephalography and neurophysiology have enabled the study of previously inaccessible brain regions with high fidelity temporal and spatial resolution. Studies of iEEG have revealed a rich neural code subserving healthy brain function and which fails in disease states. Machine learning, a form of artificial intelligence, is a modern tool that may be able to better decode complex neural signals and enhance interpretation of these data. To date, a number of publications have applied ML to iEEG, but (...) clinician awareness of these techniques and their relevance to neurosurgery, has been limited. The present work presents a review of existing applications of ML techniques in iEEG data, discusses the relative merits and limitations of the various approaches, and examines potential avenues for clinical translation in neurosurgery. One-hundred-seven articles examining artificial intelligence applications to iEEG were identified from 3 databases. Clinical applications of ML from these articles were categorized into 4 domains: i) seizure analysis, ii) motor tasks, iii) cognitive assessment, and iv) sleep staging. The review revealed that supervised algorithms were most commonly used across studies and often leveraged publicly available timeseries datasets. We conclude with recommendations for future work and potential clinical applications. (shrink)

Gaze plays a fundamental role in the processing of facial expressions from birth. Gaze direction is a crucial part of the social signal encoded in and decoded from faces. The ability to discriminate gaze direction, already evident early in life, is essential for the development of more complex socially relevant tasks, such as joint and shared attention. At the same time, facial expressions play a fundamental role in the encoding of gaze direction and, when combined, expression and gaze communicate behavioural (...) motivation to approach or avoid. However, the investigation of how gaze direction and emotional expression interact during the processing of a face has been relatively neglected, and is the key question of this review. (shrink)

Brain reading technologies are rapidly being developed in a number of neuroscience fields. These technologies can record, process, and decode neural signals. This has been described as ‘mind reading technology’ in some instances, especially in popular media. Should the public at large, be concerned about this kind of technology? Can it really read minds? Concerns about mind-reading might include the thought that, in having one’s mind open to view, the possibility for free deliberation, and for self-conception, are eroded where (...) one isn’t at liberty to privately mull things over. Themes including privacy, cognitive liberty, and self-conception and expression appear to be areas of vital ethical concern. Overall, this article explores whether brain reading technologies are really mind reading technologies. If they are, ethical ways to deal with them must be developed. If they are not, researchers and technology developers need to find ways to describe them more accurately, in order to dispel unwarranted concerns and address appropriately those that are warranted. (shrink)

This paper advocates the reduction of the inference of common cause to that of common origins. It distinguishes and subjects to critical analysis thirteen interpretations of “the inference of common cause” whose conclusions do not follow from their assumptions. Instead, I introduce six types of inferences of common origins of information signals from their receivers to reduce, in the sense of supersede and replace, the thirteen inferences of common causes. I show how the paradigmatic examples of inferences of common (...) cause, as well as a broader scope of inferences in the historical sciences, are better explained by inferences of origins. Inferences of origins from information rich coherences between receivers of information signals both fit more closely and explain better the range of examples that have traditionally been associated with inferences of common causes, as well as a broader scope of examples from the historical sciences. Shannon’s concept of information as reduction in uncertainty, rather than physicalist concepts of information that relate it to entropy or waves, simplifies the inferences, preempts objections, and avoids the underdetermination of conclusions that challenge models of inferences of causes from information transmissions. In the second part of the paper I model inferences of information about common origins from information preserved in their receivers. I distinguish information poor inferences that there were some common origins of receivers from the information richer inferences of ranges of possible common origins and the information transmission channels by which they transmitted signals to receivers. Lastly and most information rich, I distinguish the inference of the defining properties of common origins. The information transmission model from origins to receivers allows the reconceptualization of the concepts of independence as absence of intersections between information channels and reliability as the preservation of information from origins in receivers. Finally, I show how inferences of origins form the epistemic basis of the historical sciences. (shrink)

Against the prior view that primate communication is based only on signal decoding, comparative evidence suggests that primates are able, no less than humans, to intentionally perform or understand impulsive or habitual communicational actions with a structured evaluative nonconceptual content. These signals convey an affordance-sensing that immediately motivates conspecifics to act. Although humans have access to a strategic form of propositional communication adapted to teaching and persuasion, they share with nonhuman primates the capacity to communicate in impulsive or (...) habitual ways. They are also similarly able to monitor fluency, informativeness and relevance of messages or signals through nonconceptual cues. (shrink)

This paper tries to link Ethology to Biosemiotics by analysing the similarities between some triadic relationships like biosemiotics’ Object—Representamen—Interpretant and the one established in Ethology between Sign-stimuli— Innate Releasing Mechanism—Modal Action Pattern, or the one potentially established in communication networks comprising Sender—Receiver—Eavesdropper. I argue here that a collaborative relationship is supported by the fact that the observational method used by Ethology is based on the triadic relationship Sender—Receiver—Eavesdropper. This method, by introducing the human observer at the Interpreter/Eavesdropper place, is not (...) only applicable to the direct study of animal communication, but also to the interpretation of all other animal behaviour by assuming that behaviour is a sign/signal system on its own, for us to interpret and decode. (shrink)

In the automatic detection of epileptic seizures, the monitoring of critically ill patients with time varying EEG signals is an essential procedure in intensive care units. There is an increasing interest in using EEG analysis to detect seizure, and in this study we aim to get a better understanding of how to visualize the information in the EEG time-frequency feature, and design and train a novel random forest algorithm for EEG decoding, especially for multiple-levels of illness. Here, we (...) propose an automatic detection framework for epileptic seizure based on multiple time-frequency analysis approaches; it involves a novel random forest model combined with grid search optimization. The short-time Fourier transformation visualizes seizure features after normalization. The dimensionality of features is reduced through principal component analysis before feeding them into the classification model. The training parameters are optimized using grid search optimization to improve detection performance and diagnostic accuracy by in the recognition of three different levels epileptic of conditions (healthy subjects, seizure-free intervals, seizure activity). Our proposed model was used to classify 500 samples of raw EEG data, and multiple cross-validations were adopted to boost the modeling accuracy. Experimental results were evaluated by an accuracy, a confusion matrix, a receiver operating characteristic curve and an area under the curve. The evaluations indicated that our model achieved the more effective classification than some previous typical methods. Such a scheme for computer-assisted clinical diagnosis of seizures has a potential guiding significance, which not only relieves the suffering of patient with epilepsy to improve quality of life, but also helps neurologists reduce their workload. (shrink)

In Greg Bear’s critically acclaimed science fiction novel Darwin’s Radio, the activation of an endogenous retrovirus (SHEVA), ironically located in a “noncoding region” of the human genome, causes extreme symptoms in women worldwide, including miscarriages. In the United States, a task force is assembled to control the pandemic crisis and to find out how SHEVA operates at the genomic level. However, as the story unfolds, it becomes manifest that SHEVA is too complex to decode in this way and, moreover, that (...) it is not a disease at all. Biologist Kay Lang speculates that SHEVA is triggered by signals from the environment, and that newborn SHEVA children will be a new variation or species of Man. In this essay I analyze Bear’s literary experiment with science along Deleuze and Guattari’s important, but largely overlooked, concepts of State science and nomad science. Bear’s novel gives narrative form to nomad-scientific ideas about life, notably Lynn Margulis’s theory of endosymbiogenesis, which holds that a species’ DNA is an assemblage of many genomes acquired in symbiotic relations. The import of Bear’s informed speculations, I argue, is not crass prediction but a nomadic vision of life as always already different (impure, infected) and in becoming—a counterpoint to the image of the double helix as the bedrock of human identity. Darwin’s Radio is a key example of how fiction can be an excellent partner for science, technology, and society, analyzing and intervening in debates about life and laying bare epistemological and biopolitical tensions of technoscience. (shrink)

Brain–computer interfacing (BCI) aims at directly capturing brain activity in order to enable a user to drive an application such as a wheelchair without using peripheral neural or motor systems. Low signal to noise ratio’s, low processing speed, and huge intra- and inter-subject variability currently call for the addition of intelligence to the applications, in order to compensate for errors in the production and/or the decoding of brain signals. However, the combination of minds and machines through BCI’s and (...) intelligent devices (IDs) can affect a user’s sense of agency. Particularly confusing cases can arise when the behavioral control switches implicitly from user to ID. I will suggest that in such situations users may be insecure about the extent to which the resulting behavior, whether successful or unsuccessful, is genuinely their own. Hence, while performing an action, a user of a BCI–ID may be uncertain about being the agent of the act. Several cases will be examined and some implications for (legal) responsibility (e.g. establishing the presence of a ‘guilty mind’) are discussed. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Criticism, Imagination, and the Subjectivization of AestheticsRoger W. H. SavageThe growing discontent with reductivist practices signals a new current in contemporary criticism's understanding of music, literature and art. George Levine's unease with critics who are unable or unwilling to account for their continuing preoccupation with literary texts they expose as "imperialist, sexist, homophobic and racist" illumines the contradiction fueling the reduction of aesthetics to ideology.1 Cultural studies that (...) deploy literature as evidence of the aesthetics' socio-historical substance mask literature's capacity to break open new perspectives on reality by assuming that literary works are politically complicit with the aesthetics' strategic "mystification of the status quo" (A&I, p. 3). Criticism's indifference to its philosophical presuppositions exacerbates the paradox of denouncing a body of works that constitute criticism's aesthetic and intellectual heritage. According to Mario Valdés, literary studies' coming of age mandates that criticism take account of a tradition nurtured by a succession of philosophers including Hans-Georg Gadamer and Paul Ricoeur.2 For Valdés, the post-structuralist realization that literary texts are indeterminate and inexhaustible prohibits replacing the work of art with critical commentaries on it; criticism's collective and determining role belongs to a shared community of commentary whose history and thought is a record of the changing interpretations and understandings of literary texts' meanings. [End Page 164]Valdés's claim extends to the field of contemporary music criticism, where the fashion of denouncing aesthetics as socially pernicious turns against traditional musicology's institutional authority. By demystifying absolute music (instrumental music devoid of programmatic associations), a self-proclaimed critical musicology revolts against traditional musicology's perceived political and ideological agenda. Critical musicology militates against the aesthetic conceit that absolute music transcends its social construction. Yet, by overlooking the philosophical presuppositions that set music's autonomy against practical affairs, new musicology accedes to the schema it recoils against.The tradition nurtured by Gadamer's philosophical hermeneutics and Ricoeur's hermeneutic phenomenology represents a critical current whose significance has been overshadowed by postmodernist investments in decoding music's social and political content. Gadamer's critique of the subjectivization of aesthetics and Ricoeur's meditations on the imagination's capacity for invention offer an alternativeto contemporary music criticism's reaction against the principle of music's aesthetic autonomy. Gadamer and Ricoeur question art's formal separation from reality, which belongs to the history of Kant's radical subjectivization of aesthetics. Gadamer's critique of art's aesthetic differentiation prepares the ground for revealing how socially informed analyses conform to the schema Kant initiates by divorcing judgments of taste from their surrounding cultural ethos. Gadamer argues that, by discrediting theoretical knowledge that does not rely on the methodology of the natural sciences, the transcendental function Kant ascribes to aesthetic judgment lays the foundation for differentiating between art's aesthetic constitution and a concept of truth that accommodates the standard of the natural sciences. Through reducing the "sensus communis to a subjective principle," Kant legitimates his critique of aesthetic judgments by denying taste any importanceas a mode of knowledge.3Ricoeur's hermeneutical reflections on imagination complement Gadamer's critique of a differentiating consciousness that abstracts art works from their cultural worlds. For Ricoeur, imagination is productive when the fictions that works create affect our understanding of ourselves and our world by re-describing reality. Aesthetics' alignment with ideology encounters a limit in the power works evince by unfolding different ways of seeing or hearing reality. Ricoeur's reflections on imagination stand in stark contrast to the idea that individual works represent a form of cultural capital in the struggle for social position [End Page 165] and power. Contemporary critical practices' failure to account for the philosophical separation of judgments of taste from knowledge of reality precipitates the impasse criticism encounters when it identifies aesthetics with ideology at the expense of a work's capacity to affect reality in productive ways. The dispersal and potential disappearance of music's aesthetic character into the recesses of cultural and political analysis keeps step with the conceptual narrowing imposed by a restrictive sociological critique. Demystifying music's ideological representations of gender, race and identity purges romantic... (shrink)

Understanding spoken language involves far more than decoding a linear sequence of phonetic elements. In view of the inherent variability of the acoustic signal in spontaneous speech, it is not entirely clear that the sort of representation derived from locus equations is sufficient to account for the robustness of spoken language understanding under real-world conditions. An alternative representation, based on the low-frequency modulation spectrum, provides a more plausible neural foundation for spoken language processing.

Paramedics encounter ethical dilemmas at work, and while previous research has improved ethics education and practice, more can be learned from the lived experience of paramedics facing ethical challenges. This paper explores the lived experience of two paramedics, one with five years’ experience, the other twenty, presented with comparable cases. The participants, who were interviewed in a broader qualitative study exploring practical wisdom, were asked to select a case involving ethical decision-making from their own practice experience. Semi-structured interviews employed the (...) five-step Critical Decision Method as a framework to explore various aspects of the decision-making process. The two cases were identified as exemplars of prominent themes suitable for discussion. The findings highlighted several factors that influence paramedic ethical decision-making, including practical wisdom, communication and teamwork, clinical support, and education. This case comparison identifies a greater need to focus education on the fostering of practical wisdom, and the development of non-technical skills such as communication and teamwork, supported by interprofessional education endeavours. Furthermore, greater access to support for paramedics must be available to further evolve practical wisdom. The combination of improved education and support will likely cater for the full spectrum of ethical challenges faced by paramedics in their work. (shrink)

Multimedia learning research addresses the question of how to design instructional material effectively. Signaling and adding graphics are typical instructional means that might support constructing a mental model, particularly when learning abstract content from multiple representations. Although signals can help to select relevant aspects of the learning content, additional graphics could help to visualize mentally the subject matter. Learners’ prior knowledge is an important factor for the effectiveness of both types of support: signals and added graphics. Therefore, we (...) conducted an experimental study situated in a university course of computer science with N = 124 participants. In our 2 × 2 factorial design, we investigated the effects of signals and illustrating graphics on learning outcomes and their potential interplay. Based on our regression analysis, we revealed prior knowledge as a significant moderator. Although learners with low levels of prior knowledge can profit from all types of help but still gain rather weak learning outcomes, learners with medium levels of prior knowledge profit from the synergy of both helps. With higher levels of prior knowledge, signals were particularly hampering. To improve the understanding of these supportive or hampering effects, a more fine-grained analysis of these processes and motivational effects is necessary. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Afterword to the Polish Edition of Thomistic EvolutionA Catholic Approach to Understanding Evolution in the Light of Faith by Nicanor Pier Giorgio Austriaco, O.P., James Brent, O.P., Thomas Davenport, O.P., and John Baptist Ku, O.P.*Mariusz Tabaczek O.P.Translated by Monika Metlerska-Colerick[End Page 225]Thomistic Evolution: A Catholic Approach to Understanding Evolution in the Light of Faith, by Nicanor Pier Giorgio Austriaco, O.P., James Brent, O.P., Thomas Davenport, O.P., and John Baptist (...) Ku, O.P., is an intriguing attempt at a comprehensive approach to the question of theistic evolutionism from the perspective of Thomistic tradition. The breadth of the approach offered by the authors, starting with the problem of the relationship between reason and faith and subsequently reaching to the foundations of the philosophy of nature, natural theology, and theology of creation, as well as biblical exegesis, provides an appropriate introduction and background for the analysis of a thesis suggesting that it is possible for God to create new species of living organisms (including the Homo sapiens sapiens species) through the processes of evolution. The comprehensible manner in which the discussed questions are presented renders the book accessible to a wide audience.Although one should agree with the main thesis formulated by the authors of Thomistic Evolution regarding the possibility of God expressing his creative power through the emergence of new species of living beings by way of evolution, it also has to be noticed that the arguments they present do not always take fully into consideration certain significant difficulties that arise along the way and the resulting necessity to broaden and adjust the ideas of the Aristotelian-Thomistic tradition to present-day standards in order for it to engage in a dialogue with contemporary science. In the absence of such broadening and adjusting, one might arrive at an overly simplified view of things in which St. Thomas himself would easily come to agree with the main assumptions of theistic evolutionism. Our aim, thus, is to reveal a more profound level of the complexity of the debate regarding the Thomistic view of creation and evolution.St. Thomas and EvolutionismOn the one hand, Brent's intuition seems justified that the Thomistic definition of creation as being dependent on God in existence (depicted in chapter 7) is compatible with both the image of the world in which various kinds of species are immutable and the image of the world in which they are subject to change. On the other hand, we cannot forget that St. Thomas himself perceived forms of species as permanently fixed in the moment of the first member of a given species coming into existence and—consequently—not being subject to any future alterations. Hence, reproduction, according to Aquinas, serves as a continuation of species without the introduction of any significant variations: "Nature produces like from like. Now the thing generated is like its generator in [End Page 226] species and form. Therefore the form is produced by the action of the generator and not by creation" (De pot., q. 3, a. 8, sc 4).This quotation from Questiones disputatae de potentia points us towards the theological question of creation. Here, we must emphasize that, according to St. Thomas, at its origin, the world was perfect as to the number of created species. Hence, "something can be added every day to the perfection of the universe, as to the number of individuals, but not as to the number of species" (ST I, q. 118, a. 3, ad 2).1 It is true that Aquinas allowed for the arising of new animal species through putrefaction caused by the power of the sun, as well as through the crossbreeding of already existing species (see ST I, q. 73, a. 1, ad 3, a portion of which is quoted by Austriaco in chapter 24). However, the emergence of new forms of animal organisms in this way by no means implies or anticipates the theory of their descent from a common ancestor by way of evolutionary transformation. Nor is it a manifestation or expression of the most basic rules governing nature, but rather an exception and a departure from their regularity... (shrink)

Accurate and rapid defect identification based on pulsed eddy current testing plays an important role in the structural integrity and health monitoring of in-service equipment in the renewable energy system. However, in conventional data-driven defect identification methods, the signal feature extraction is time consuming and requires expert experience. To avoid the difficulty of manual feature extraction and overcome the shortcomings of the classic deep convolutional network, such as large memory and high computational cost, an intelligent defect recognition pipeline based on (...) the general Warblet transform method and optimized two-dimensional DCNN is proposed. The GWT method is used to convert the one-dimensional PECT signal to a 2D grayscale image used as the input of 2D DCNN. A compound method is proposed to optimize the baseline VGG16, a well-known DCNN, from four aspects including reducing the input size, adding batch normalization layer after every convolutional layer and fully connection layer, simplifying the FCs, and removing unimportant filters in Convs so as to reduce memory and computational costs while improving accuracy. Through a pulsed eddy current testing experiment considering interference factors including liftoff and noise, the following conclusion can be obtained. The time-frequency representation obtained by the GWT method not only has excellent ability in terms of the transient component analysis but also is less affected by the reduction of image size; the proposed optimized DCNN can accurately identify defect types without manual feature extraction. And compared to the baseline VGG16, the accuracy obtained by the optimized DCNN is improved by 7%, to about 99.58%, and the memory and computational cost are reduced by 98%. Moreover, compared with other well-known DCNNs, such as GoogLeNet, Inception V3, ResNet50, and AlexNet, the optimized network has significant advantages in terms of accuracy and computational cost, too. (shrink)

While there is an extensive literature on the tendency to mimic emotional expressions in adults, it is unclear how this skill emerges and develops over time. Specifically, it is unclear whether infants mimic discrete emotion-related facial actions, whether their facial displays are moderated by contextual cues and whether infants’ emotional mimicry is constrained by developmental changes in the ability to discriminate emotions. We therefore investigate these questions using Baby-FACS to code infants’ facial displays and eye-movement tracking to examine infants’ looking (...) times at facial expressions. Three-, 7-, and 12-month-old participants were exposed to dynamic facial expressions of a virtual model which either looked at the infant or had an averted gaze. Infants did not match emotion-specific facial actions shown by the model, but they produced valence-congruent facial responses to the distinct expressions. Furthermore, only the 7- and 12-month-olds displayed negative responses to the model’s negative expressions and they looked more at areas of the face recruiting facial actions involved in specific expressions. Our results suggest that valence-congruent expressions emerge in infancy during a period where the decoding of facial expressions becomes increasingly sensitive to the social signal value of emotions. (shrink)

In recent years we have seen a dramatic shift, in several different areas of communication studies, from an information-theoretic to a dynamic systems paradigm. In an information processing system, communication, whether between cells, mammals, apes, or humans, is said to occur when one organism encodes information into a signal that is transmitted to another organism that decodes the signal. In a dynamic system, all of the elements are continuously interacting with and changing in respect to one another, and an aggregate (...) pattern emerges from this mutual co-action. Whereas the information-processing paradigm looks at communication as a linear, binary sequence of events, the dynamic systems paradigm looks at the relation between behaviors and how the whole configuration changes over time. One of the most dramatic examples of the significance of shifting from an information processing to a dynamic systems paradigm can be found in the debate over the interpretation of recent advances in ape language research (ALR). To some extent, many of the early ALR studies reinforced the stereotype that animal communication is functional and stimulus bound, precisely because they were based on an information-processing paradigm that promoted a static model of communicative development. But Savage-Rumbaugh's recent results with bonobos has introduced an entirely new dimension into this debate. Shifting the terms of the discussion from an information-processing to a dynamic systems paradigm not only highlights the striking differences between Savage-Rumbaugh's research and earlier ALR studies, but further, it sheds illuminating light on the factors that underpin the development of communication skills in great apes and humans, and the relationship between communicative development and the development of language. Key Words: apes; ape language research (ALR); brain development; co-regulation; communication; dynamic systems; language development; symbols. (shrink)

Computation of seismic parameters and its interpretation from the recorded earthquake signal is empowered by digital data acquisition systems. This enables seismologist to automatically compute all the relevant parameters. Futuristic applications require extensive software development to implement seismic prediction and forecasting models. While developing such models, software developer prefer to write their own in-house analysis & modeling software with complete control over the required computations and models. This paper presents simplified mathematical framework of the seismic events and back-end computational (...) software logic & algorithm to provide a simple framework to software engineers develop customized seismic analysis & computation software. (shrink)

Several attempts have recently been made to explain moral systems and moral sentiments in light of evolutionary biological theory. It may be helpful to modify and extend this project with the help of a theory of communication developed by ethologists. The core of this approach is the idea that signals are best seen as attempts to manipulate others rather than as attempts to inform them. This addition helps to clarify some problematic areas in the evolutionary study of morals, and (...) it generates new, testable predictions about moral statements. (shrink)

The genetic code is a set of instructions that determine how the information in our genetic material is translated into amino acids. In general, it is universal for all organisms, from viruses and bacteria to humans. However, in the last few decades, exceptions to this rule have been identified both in pro‐ and eukaryotes. In this review, we discuss the 16 described alternative eukaryotic nuclear genetic codes and observe theories of their appearance in evolution. We consider possible molecular mechanisms that (...) allow codon reassignment. Most reassignments in nuclear genetic codes are observed for stop codons. Moreover, in several organisms, stop codons can simultaneously encode amino acids and serve as termination signals. In this case, the meaning of the codon is determined by the additional factors besides the triplets. A comprehensive review of various non‐standard coding events in the nuclear genomes provides a new insight into the translation mechanism in eukaryotes. (shrink)

Little attention has been given to the integral relationship between character strengths and spirituality (the search for or communing with the sacred to derive meaning and purpose). The science of character strengths has surged in recent years with hundreds of studies, yet with minimal attention to spirituality or the literature therein. At the same time, the science of spirituality has steadily unfolded over the last few decades and has offered only occasional attention to select strengths of character (e.g., humility, love, (...) forgiveness) or the universal typology of the VIA Classification of character strengths and virtues. In this exploration, we argue that there is a robust synergy of these sciences and practices revealing that spirituality is vitally concerned with promoting character strengths. At the same time, character strengths can enhance and deepen spiritual practices, rituals, and experiences. We elaborate on how character strengths and spirituality come together in the context of the psycho-spiritual journey toward wholeness. By wholeness, we are referring to a way of being in the world, which involves a life-affirming view of oneself and the world, a capacity to see and approach life with breadth and depth and the ability to organize the life journey into a cohesive whole. We further discuss six levels by which spirituality can be integrated within the VIA Classification, including a meta-perspective in which wholeness represents a meta-strength or superordinate virtue. We frame two pathways of integration: the grounding path, in which character strengths offer tangibility and thereby deepen and enhance spirituality, and the sanctification path, in which spirituality elevates character strengths. Finally, we turn to research-based practices and examine how character strengths might facilitate and contribute to spiritual practices and, conversely, how spirituality might enhance character strength practices. Such multifaceted integration offers insight and wisdom to both areas of study and opens up new directions for psychospiritual research and practices to deepen and broaden our understanding of what it means to be human. (shrink)

Prominent views about representation share a premise: that mathematical communication theory is blind to representational content. Here I challenge that premise by rejecting two common misconceptions: that Claude Shannon said that the meanings of signals are irrelevant for communication theory (he didn't and they aren't), and that since correlational measures can't distinguish representations from natural signs, communication theory can't distinguish them either (the premise is true but the conclusion is false; no valid argument can link them).

This paper is devoted to computer modelling of the development and regeneration of multicellular biological structures. Some species are able to regenerate parts of their body after amputation damage, but the global rules governing cooperative cell behaviour during morphogenesis are not known. Here, we consider a simplified model organism, which consists of tissues formed around special cells that can be interpreted as stem cells. We assume that stem cells communicate with each other by a set of signals, and (...) that the values of these signals depend on the distance between cells. Thus the signal distribution characterizes location of stem cells. If the signal distribution is changed, then the difference between the initial and the current signal distribution affects the behaviour of stem cells—e.g. as a result of an amputation of a part of tissue the signal distribution changes which stimulates stem cells to migrate to new locations, appropriate for regeneration of the proper pattern. Moreover, as stem cells divide and form tissues around them, they control the form and the size of regenerating tissues. This two-level organization of the model organism, with global regulation of stem cells and local regulation of tissues, allows its reproducible development and regeneration. (shrink)

This paper is devoted to computer modelling of the development and regeneration of multicellular biological structures. Some species are able to regenerate parts of their body after amputation damage, but the global rules governing cooperative cell behaviour during morphogenesis are not known. Here, we consider a simplified model organism, which consists of tissues formed around special cells that can be interpreted as stem cells. We assume that stem cells communicate with each other by a set of signals, and (...) that the values of these signals depend on the distance between cells. Thus the signal distribution characterizes location of stem cells. If the signal distribution is changed, then the difference between the initial and the current signal distribution affects the behaviour of stem cells—e.g. as a result of an amputation of a part of tissue the signal distribution changes which stimulates stem cells to migrate to new locations, appropriate for regeneration of the proper pattern. Moreover, as stem cells divide and form tissues around them, they control the form and the size of regenerating tissues. This two-level organization of the model organism, with global regulation of stem cells and local regulation of tissues, allows its reproducible development and regeneration. (shrink)

Rationale: Deep brain stimulation (DBS) of the hippocampus is proposed for enhancement of memory impaired by injury or disease. Many pre-clinical DBS paradigms can be addressed in epilepsy patients undergoing intracranial monitoring for seizure localization, since they already have electrodes implanted in brain areas of interest. Even though epilepsy is usually not a memory disorder targeted by DBS, the studies can nevertheless model other memory-impacting disorders, such as Traumatic Brain Injury (TBI). Methods: Human patients undergoing Phase II invasive monitoring for (...) intractable epilepsy were implanted with depth electrodes capable of recording neurophysiological signals. Subjects performed a delayed-match-to-sample (DMS) memory task while hippocampal ensembles from CA1 and CA3 cell layers were recorded to estimate a multi-input, multi-output (MIMO) model of CA3-to-CA1 neural encoding and a memory decoding model (MDM) to decode memory information from CA3 and CA1 neuronal signals. After model estimation, subjects again performed the DMS task while either MIMO-based or MDM-based patterned stimulation was delivered to CA1 electrode sites during the encoding phase of the DMS trials. Each subject was sorted (post hoc) by prior experience of repeated and/or mild-to-moderate brain injury (RMBI), TBI, or no history (control) and scored for percentage successful delayed recognition (DR) recall on stimulated vs. non-stimulated DMS trials. The subject’s medical history was unknown to the experimenters until after individual subject memory retention results were scored. Results: When examined compared to control subjects, both TBI and RMBI subjects showed increased memory retention in response to both MIMO and MDM-based hippocampal stimulation. Furthermore, effects of stimulation were also greater in subjects who were evaluated as having pre-existing mild-to-moderate memory impairment. Conclusion: These results show that hippocampal stimulation for memory facilitation was more beneficial for subjects who had previously suffered a brain injury (other than epilepsy), compared to control (epilepsy) subjects who had not suffered a brain injury. This study demonstrates that the epilepsy/intracranial recording model can be extended to test the ability of DBS to restore memory function in subjects who previously suffered a brain injury other than epilepsy, and support further investigation into the beneficial effect of DBS in TBI patients. (shrink)

The concepts of health and disease are crucial in defining the aim and the limits of modern medicine. Accordingly it is important to understand them and their relationship. However, there appears to be a discrepancy between scholars in philosophy of medicine and health care professionals with regard to these concepts. This article investigates health care professionals’ concepts of health and disease and the relationship between them. In order to do so, four different models are described and analyzed: the ideal model, (...) the holistic model, the medical model and the disjunctive model. The analysis reveals that each model has its pros and cons, and that health care professionals appear to apply more than one models. Furthermore, the models and the way health care professionals’ use them may be helpful for scholars in philosophy of medicine with regard to developing theories and communicating them to health care professionals. (shrink)

A social network is a web that integrates multiple levels of interindividual social relationships and has direct associations with an individual’s health and well-being. Previous research has mainly focused on how brain and social network structures act on each other and on how the brain supports the spread of ideas and behaviors within social networks. The structure of the social network is correlated with activity in the amygdala, which links decoding and interpreting social signals and social values. The (...) structure also relies on the mentalizing network, which is central to an individual’s ability to infer the mental states of others. Network functional properties depend on multilayer brain-social networks, indicating that information transmission is supported by the default mode system, the valuation system, and the mentalizing system. From the perspective of neuroendocrinology, overwhelming evidence shows that variations in oxytocin, β-endorphin and dopamine receptor genes, including oxytocin receptor, mu opioid receptor 1 and dopamine receptor 2, predict an individual’s social network structure, whereas oxytocin also contributes to improved transmission of emotional and behavioral information from person to person. Overall, previous studies have comprehensively revealed the effects of the brain, endocrine system, and genes on social networks. Future studies are required to determine the effects of cognitive abilities, such as memory, on social networks, the characteristics and neural mechanism of social networks in mental illness and how social networks change over time through the use of longitudinal methods. (shrink)

A simplified variant of Gödel’s ontological argument is presented. The simplified argument is valid already in basic modal logics K or KT, it does not suffer from modal collapse, and it avoids the rather complex predicates of essence (Ess.) and necessary existence (NE) as used by Gödel. The variant presented has been obtained as a side result of a series of theory simplification experiments conducted in interaction with a modern proof assistant system. The starting point for these experiments (...) was the computer encoding of Gödel’s argument, and then automated reasoning techniques were systematically applied to arrive at the simplified variant presented. The presented work thus exemplifies a fruitful human-computer interaction in computational metaphysics. Whether the presented result increases or decreases the attractiveness and persuasiveness of the ontological argument is a question I would like to pass on to philosophy and theology. (shrink)

This article investigates health care professionals' concepts of health and disease and the relationship between them. In order to do so, four different models are described and analyzed: the ideal model, the holistic model, the medical model and the disjunctive model. The analysis reveals that each model has its pros and cons, and that health care professionals appear to apply more than one models. Furthermore, the models and the way health care professionals' use them may be helpful for scholars in (...) philosophy of medicine with regard to developing theories and communicating them to health care professionals. (shrink)

In Act 1 scene iv of Macbeth, Duncan reflects that: 'There's no art to find the mind's construction in the face'. In contrast, the claim that Andy Young sets out in this book is that we are now developing a science of face perception which can indeed shed light on certain aspects of mental life. Face and Mind consists of a series of seminal research and review papers on face perception published by the author and his colleagues over the last (...) 12 years. A comprehensive introductory chapter, written especially for this volume, serves to draw together the various themes explored in the different contributions. The book examines the question of how faces are special, in terms of their social, biological, and theoretical roles. In particular, Face and Mind seeks to determine what our understanding of the face can tell us about the human brain. It discusses the evidence for an evolved neural substrate for face perception, and the question of whether we are innately predisposed to recognise faces, to find them attractive, and to decode the many social signals they give us. The ability of the human brain to process and remember the many different faces that we see and subsequently recall is analysed. Young includes detailed studies of the types of impairment to face perception which can follow brain injury or psychiatric illness, and uses them to address these questions, as well as other issues of high intrinsic and interdisciplinary interest. These include the extent to which our mental lives result from the operation of discrete components devoted to different purposes, the differences between conscious and non-conscious processes, and how we use evidence to support our beliefs about the world. Because of the huge variety of social signals read from the face, it can offer unique theoretical and philosophical insights into these questions. This fascinating book will be of interest not only to psychologists and neuropsychologists working in the field of visual perception, but to cognitive scientists generally. It provides an excellent summary of the most important theorietical and empirical work done on face perception in recent years, and as such will be of interest to advanced undergraduate and post-graduate students in psychology, philosophy, and cognitive science. (shrink)

Among human and non-human animals, the ability to respond rapidly to biologically significant events in the environment is essential for survival and development. Research has confirmed that human adult listeners respond emotionally to environmental sounds by relying on the same acoustic cues that signal emotionality in speech prosody and music. However, it is unknown whether young children also respond emotionally to environmental sounds. Here, we report that changes in pitch, rate (i.e. playback speed), and intensity (i.e. amplitude) of environmental sounds (...) trigger emotional responses in 3- to 6-year-old American and Chinese children, including four sound types: sounds of human actions, animal calls, machinery, and natural phenomena such as wind and waves. Children’s responses did not differ across the four types of sounds used but developed with age – a finding observed in both American and Chinese children. Thus, the ability to respond emotionally to non-linguistic, non-music environmental sounds is evident at three years of age – an age when the ability to decode emotional prosody in language and music emerges. We argue that general mechanisms that support emotional prosody decoding are engaged by all sounds, as reflected in emotional responses to non-linguistic acoustic input such as music and environmental sounds. (shrink)

In this paper, I discuss the concept of ‘shared meaning’, and the relationship between a shared understanding of signs within an animal social group and the Umwelten of individuals within the group. I explore the concept of the ‘Total Umwelt’, as described by Tønnesen, (2003), and use examples from the traditional ethology literature to demonstrate how semiotic principles can not only be applied, but underpin the observations made in animal social biology. Traditionally, neo-Darwinian theories of evolution concentrate on ‘fitness’ or (...) an organism’s capacity to survive and reproduce in its own environmental niche. However, this process also relies on underlying signs and sign processes, which are often over-looked in traditional ethology and behavioural ecology. Biosemiotics, however, places the emphasis on sign process, with signs and signals comprising a semiosphere. Significantly, whilst the semiosphere is formulated as physical phenomena, specifically energetic and material signs which can be detected and transmitted as signals from one individual to another, it is the Umwelten of living organisms which give those signals meaning. Further, two or more Umwelten can merge, giving rise to a ‘Total Umwelt’, which facilitates shared meaning of signs between two or more individuals. Across and within generations, this gives rise to cultural interpretation of signs within populations. I argue this is the fundamental basis for emergent group properties in social species, or indeed in solitary living species where individuals interact to mate, defend territories or resources, or in raising altricial young. I therefore discuss a fusion of traditional behavioural ecology- based theory with semiotics, to examine the phenomenon of ‘shared meaning’ in animal social groups. (shrink)