BACKGROUND -/- The need for detailed description and modeling of cells drives the continuous generation of large and diverse datasets. Unfortunately, there exists no systematic and comprehensive way to organize these datasets and their information. CELDA (Cell: Expression, Localization, Development, Anatomy) is a novel ontology for the association of primary experimental data and derived knowledge to various types of cells of organisms. -/- RESULTS -/- CELDA is a structure that can help to categorize cell types based on species, anatomical (...) localization, subcellular structures, developmental stages and origin. It targets cells in vitro as well as in vivo. Instead of developing a novel ontology from scratch, we carefully designed CELDA in such a way that existing ontologies were integrated as much as possible, and only minimal extensions were performed to cover those classes and areas not present in any existing model. Currently, ten existing ontologies and models are linked to CELDA through the top-level ontology BioTop. Together with 15.439 newly created classes, CELDA contains more than 196.000 classes and 233.670 relationship axioms. CELDA is primarily used as a representational framework for modeling, analyzing and comparing cells within and across species in CellFinder, a web based data repository on cells (http://cellfinder.org). -/- CONCLUSIONS -/- CELDA can semantically link diverse types of information about cell types. It has been integrated within the research platform CellFinder, where it exemplarily relates cell types from liver and kidney during development on the one hand and anatomical locations in humans on the other, integrating information on all spatial and temporal stages. CELDA is available from the CellFinder website: http://cellfinder.org/about/ontology. (shrink)

Learning from a text–picture multimedia document is particularly effective if learners can link information within the text and across the verbal and the pictorial representations. The ability to create a mental model successfully and include those implicit links is related to the ability to generate inferences. Text processing research has found that text cohesion facilitates the generation of inferences, and thus text comprehension for learners with poor prior knowledge or reading abilities, but is detrimental for learners with good prior knowledge (...) or reading abilities. Moreover, multimedia research has found a positive effect from adding visual representations to text information, particularly when implementing signaling, which consists of verbal or visual cues designed to guide attention to the pictorial representation of relevant information. We expected that, as with text-only documents, struggling readers would benefit from high text cohesion and that signaling would foster inference generation as well. Further, we hypothesized that better learning outcomes would be observed when text cohesion was low and signaling was present. Our first experimental study investigated the effect of those two factors on three levels of comprehension. Participants were adolescents in prevocational schools, where some of the students are struggling readers. The results showed a trend in favor of high cohesion, but with no significant effect, a significant positive effect of cross-representational signaling on comprehension from local inferences, and no interaction effect. A second experiment focused on signaling only and attention toward the picture, with collection of eye-tracking data in addition to measures of offline comprehension. As this study was conducted with university students, who are expected to have higher reading abilities and thus are less likely to benefit from high cohesion, the material was presented in its low cohesive version. The results showed no effect of conditions on comprehension performances but confirmed differences in processing behaviors. Participants allocated more attention to the pictorial representation in the CRS condition than in the no signaling condition. (shrink)

I defend a claim, central to much work in psycholinguistics, that constructing mental representations of syntactic structures is a necessary step in language comprehension. Call such representations “mental phrase markers”. Several theorists in psycholinguistics, AI, and philosophy have cast doubt on the usefulness of positing MPMs. I examine their proposals and argue that they face major empirical and conceptual difficulties. My conclusions tell against the broader skepticism that persists in philosophy—e.g., in the embodied cognition literature —about the usefulness of positing (...) mental representations in psychological models. Using my discussion of sentence parsing as a case study, I propose several conditions on an appropriate appeal to mental representations. Finally, I point out that the familiar arguments from productivity, systematicity, and inferential coherence suffice to establish that MPMs themselves have a c.. (shrink)

All accounts of language acquisition agree that, by around age 4, children’s knowledge of grammatical constructions is abstract, rather than tied solely to individual lexical items. The aim of the present research was to investigate, focusing on the passive, whether children’s and adults’ performance is additionally semantically constrained, varying according to the distance between the semantics of the verb and those of the construction. In a forced‐choice pointing study (Experiment 1), both 4‐ to 6‐year olds (N = 60) and adults (...) (N = 60) showed support for the prediction of this semantic construction prototype account of an interaction such that the observed disadvantage for passives as compared to actives (i.e., fewer correct points/longer reaction time) was greater for experiencer‐theme verbs than for agent‐patient and theme‐experiencer verbs (e.g., Bob was seen/hit/frightened by Wendy). Similarly, in a production/priming study (Experiment 2), both 4‐ to 6‐year olds (N = 60) and adults (N = 60) produced fewer passives for experiencer‐theme verbs than for agent‐patient/theme‐experiencer verbs. We conclude that these findings are difficult to explain under accounts based on the notion of A(rgument) movement or of a monostratal, semantics‐free, level of syntax, and instead necessitate some form of semantic construction prototype account. (shrink)

Since Charles Beard first focused attention upon it in 1913, the Tenth Federalist Paper has been at the centre of the debate concerning the foundations of the American republic. Specifically, there have been three primary interpretations of this document. Each corresponds to one of the three major traditions of interpretation that have dominated the study of American political thought in the twentieth century. Each also points towards and has been evoked in the service of drastically different political philosophies.

Many views of utterance comprehension agree that understanding an utterance involves knowing, believing, perceiving, or, anyhow, mentally representing the utterance to mean such-and-such. They include cognitivist as well as many perceptualist views; I give them the generic label ‘representationalist’. Representationalist views have been criticized for placing an undue metasemantic demand on utterance comprehension, viz. that speakers be able to represent meaning as meaning. Critics have adverted to young speakers, say about the age of three, who do comprehend many utterances but (...) may be rather limited in their abilities to think about meaning as such, to cast doubt on this demand. This paper motivates representationalism, examines what the balance of developmental evidence and arguments shows, and identifies options for a representationalist response. Though there is some evidence that three-year-olds have limited abilities to think about meaning as such, they may yet turn out to have a concept of meaning, or at least some proto-semantic concept. Moreover, even if they lack any such concept, there is, I propose, a way of developing representationalism, drawing inspiration from Davidson’s paratactic view of indirect speech reports, on which meaning can be non-conceptually represented. Independently of developmental considerations, this paratactic-style proposal is of interest to friends of a perceptualist view of comprehension. (shrink)

The present “visual world” eye-tracking study examined the time-course of how native and non-native speakers keep track of implied object-state representations during real-time language processing. Fifty-two native speakers of English and 46 non-native speakers with advanced English proficiency joined this study. They heard short stories describing a target object either having undergone a substantial change-of-state or a minimal change-of-state while their eye movements toward competing object-states and two unrelated distractors were tracked. We found that both groups successfully directed their visual (...) attention toward the end-state of the target object that was implied in the linguistic context. However, neither group showed anticipatory eye movements toward the implied object-state when hearing the critical verb. Only native English speakers but not non-native speakers showed a bias in visual attention during the determiner before the noun. Our results suggested that although native and non-native speakers of English largely overlapped in their time-courses of keeping track of object-state representations during real-time language comprehension, non-native speakers showed a short delay in updating the implied object-state representations. (shrink)

A new comprehensive framework for narrative understanding has been developed. Its centerpiece is a new situational logic calledEpisodic Logic, a knowledge and semantic representation well-adapted to the interpretive and inferential needs of general NLU. The most distinctive features of EL is its natural language-like expressiveness. It allows for generalized quantifiers, lambda abstraction, sentence and predicate modifiers, sentence and predicate reification, intensional predicates, unreliable generalizations, and perhaps most importantly, explicit situational variables linked to arbitrary formulas that describe them. These (...) allow episodes to be explicitly related in terms of part-whole, temporal and causal relations. Episodic logical form is easily computed from surface syntax and lends itself to effective inference. (shrink)

Recent research has demonstrated an asymmetry between the origins and endpoints of motion events, with preferential attention given to endpoints rather than beginnings of motion in both language and memory. Two experiments explore this asymmetry further and test its implications for language production and comprehension. Experiment 1 shows that both adults and 4-year-old children detect fewer within-category changes in source than goal objects when tested for memory of motion events; furthermore, these groups produce fewer references to source than goal objects (...) when describing the same motion events. Experiment 2 asks whether the specificity of encoding source/goal relations differs in both spatial memory and the comprehension of novel spatial vocabulary. Results show that endpoint configuration changes are detected more accurately than source configuration changes by both adults and young children. Furthermore, when interpreting novel motion verbs, both age groups expect more fine-grained lexical distinctions in the domain of endpoint configurations compared to that of source configurations. These studies demonstrate that a cognitive-attentional bias in spatial representation and memory affects both the detail of linguistic encoding during the use of spatial language and the specificity of hypotheses about spatial referents that learners build during the acquisition of the spatial lexicon. (shrink)

Humans have long been characterized as poor probabilistic reasoners when presented with explicit numerical information. Bayesian word problems provide a well-known example of this, where even highly educated and cognitively skilled individuals fail to adhere to mathematical norms. It is widely agreed that natural frequencies can facilitate Bayesian reasoning relative to normalized formats (e.g. probabilities, percentages), both by clarifying logical set-subset relations and by simplifying numerical calculations. Nevertheless, between-study performance on “transparent” Bayesian problems varies widely, and generally remains rather unimpressive. (...) We suggest there has been an over-focus on this representational facilitator (i.e. transparent problem structures) at the expense of the specific logical and numerical processing requirements and the corresponding individual abilities and skills necessary for providing Bayesian-like output given specific verbal and numerical input. We further suggest that understanding this task-individual pair could benefit from considerations from the literature on mathematical cognition, which emphasizes text comprehension and problem solving, along with contributions of online executive working memory, metacognitive regulation, and relevant stored knowledge and skills. We conclude by offering avenues for future research aimed at identifying the stages in problem solving at which correct versus incorrect reasoners depart, and how individual difference might influence this time point. (shrink)

Digital reading devices such as Kindle differ from paper books with respect to the kinesthetic and tactile feedback provided to the reader, but the role of these features in reading is rarely studied empirically. This experiment compares reading of a long text on Kindle DX and in print. Fifty participants (24 years old) read a 28 page (approx. one hour reading time) long mystery story on Kindle or in a print pocket book and completed several tests measuring various levels of (...) reading comprehension: engagement, recall, capacities to locate events in the text and reconstructing the plot of the story. Results showed that in most tests subjects performed identically whatever the reading medium. However, on measures related to chronology and temporality, those who had read in the print pocket book, performed better than those who had read on a Kindle. It is concluded that, basically comprehension was similar with both media, but, because kinesthetic feedback is less informative with kindle, readers were not as efficient to locate events in the space of the text and hence in the temporality of the story. We suggest that, to get a correct spatial representation of the text and consequently a coherent temporal organization of the story, readers would be reliant on the sensorimotor cues which are afforded by the manipulation of the book. (shrink)

This study examined the performances of three groups of participants in interpreting metaphors in three different conditions: congruent gesture-prime conditions, opposite gesture-prime conditions, and no-prime conditions. In congruent gesture-prime conditions, each metaphor was preceded by the congruent gestural representation of metaphor schema. In opposite gesture-prime conditions, each metaphor was preceded by the opposite gestural representation of metaphor schema. The results showed that participants of congruent gesture-prime conditions had the best performance in interpreting metaphors, while participants of opposite gesture-prime (...) conditions had the worst performance. It is suggested that metaphor schema is an important part of metaphorical meaning of a metaphor. Therefore, when this part of meaning is activated by a gestural prime, metaphor comprehension is facilitated. Furthermore, when a schema is used to metaphorically describe a concept or an event, that schema and the neural network that represents it become one part of a larger interconnected neural network that represents the meaning of the metaphor. It could mean that the activation of one part of it could facilitate the activation of the whole of the network. Finally, it is emphasized that a gesture that depicts the schema of a metaphor is in fact the embodied realization of that metaphor. (shrink)

Purpose. To study the phenomenon of a woman-author as a subject of culture and philosophy from a development of literary aspect in the works both Western and Ukrainian scientists. To define the significance of the philosophical representation of the gender stereotypes to reconsider their place and role in the socio cultural discourse. Theoretical basis. To investigate the theoretical framework in the postmodern philosophy the cross-disciplinary approach is used. The comparative approach is methodologically important to clarify the problems concerning a (...) woman-author as a subject of culture. It is underlined that the boundary line between literature and philosophy is movable, which coincides with the shapes of the human experience. Based on the conviction that gender has integrated into all social relations, that means it is a gender context of any social interaction, it is important to emphasize the productivity of a new scientific methodology of sociocultural constructing of gender. Originality. Is in systematic literary analysis of Ukrainian and Western women’s prose as specific philosophical phenomenon. It was proved that the investigation of women’s literature, its identity is an important focus of both philosophy and culture, which helps find philosophical problems in literary texts. Besides the analysis of gender implications in texts allows to start theoretical dialogue on gender problems, which means the participation in the discussion about the targets of our cultural life. Conclusions. It has been proved that literature of the ХХ th -XXI st centuries is characterized by strengthening interaction between philosophical systems and literary works that reflects mainstreaming of intellectual and thinking bases. It was revealed that women’s philosophical and literary conceptions have created a unique woman’s world of being and an image of "a new woman", thus leading the way towards the new stereotypes based on comprehension that sex differences should not be determining factors both in cultural and social coexistence. (shrink)

This volume assembles leading scholars to provide a comprehensive study of representation in music from the nineteenth century to today.

Yu, X., Riesz representation theorem, Borel measures and subsystems of second-order arithmetic, Annals of Pure and Applied Logic 59 65-78. Formalized concept of finite Borel measures is developed in the language of second-order arithmetic. Formalization of the Riesz representation theorem is proved to be equivalent to arithmetical comprehension. Codes of Borel sets of complete separable metric spaces are defined and proved to be meaningful in the subsystem ATR0. Arithmetical transfinite recursion is enough to prove the measurability of Borel (...) sets for any finite Borel measure on a compact complete separable metric space. (shrink)

Pickering & Garrod's (P&G's) mechanistic theory of dialogue is a major advance for psycholinguistics. But the commitment to representational parity in production and comprehension is problematic. Recent research suggests that speakers frequently produce a structure that listeners find ungrammatical and have trouble understanding. If the grammars of the two systems are different, then the assumption of representational parity must be relaxed.

This paper discusses essential motivational representations necessary for a comprehensive computational cognitive architecture. It hypothesizes the need for implicit drive representations, as well as explicit goal representations. Drive representations consist of primary drives — both low-level primary drives (concerned mostly with basic physiological needs) and high-level primary drives (concerned more with social needs), as well as derived (secondary) drives. On the basis of drives, explicit goals may be generated on the fly during an agent’s interaction with various situations. These (...) motivational representations help to make cognitive architectural models more comprehensive and provide deeper explanations of psychological processes. This work represents a step forward in making computational cognitive architectures better reflections of the human mind and all its motivational complexity and intricacy. (shrink)

The digital revolution has made a multitude of text documents from highly diverse perspectives on almost any topic easily available. Accordingly, the ability to integrate and evaluate information from different sources, known as multiple document comprehension, has become increasingly important. Because multiple document comprehension requires the integration of content and source information across texts, it is assumed to exceed the demands of single text comprehension due to the inclusion of two additional mental representations: the integrated situation model and the intertext (...) model. To date, there is little empirical evidence on commonalities and differences between single text and multiple document comprehension. Although the relationships between single text and multiple document comprehension can be well distinguished conceptually, there is a lack of empirical studies supporting these assumptions. Therefore, we investigated the dimensional structure of single text and multiple document comprehension with similar test setups. We examined commonalities and differences between the two forms of text comprehension in terms of their relations to final school exam grades, level of university studies and university performance. Using a sample of n = 501 students from two German universities, we jointly modeled single text and multiple document comprehension and applied a series of regression models. Concerning the relationship between single text and multiple document compr... (shrink)

Currently, production and comprehension are regarded as quite distinct in accounts of language processing. In rejecting this dichotomy, we instead assert that producing and understanding are interwoven, and that this interweaving is what enables people to predict themselves and each other. We start by noting that production and comprehension are forms of action and action perception. We then consider the evidence for interweaving in action, action perception, and joint action, and explain such evidence in terms of prediction. Specifically, we assume (...) that actors construct forward models of their actions before they execute those actions, and that perceivers of others' actions covertly imitate those actions, then construct forward models of those actions. We use these accounts of action, action perception, and joint action to develop accounts of production, comprehension, and interactive language. Importantly, they incorporate well-defined levels of linguistic representation. We show how speakers and comprehenders use covert imitation and forward modeling to make predictions at these levels of representation, how they interweave production and comprehension processes, and how they use these predictions to monitor the upcoming utterances. We show how these accounts explain a range of behavioral and neuroscientific data on language processing and discuss some of the implications of our proposal. (shrink)

This volume assembles leading scholars to provide a comprehensive study of representation in music from the nineteenth century to today.

Redner (politics, Monash U., Melbourne, Australia) builds on the thesis that crucial changes in human cultural history correlate with fundamental transformations in modes of representation. He traces human development from primitive culture to that of the present age to construct a comprehensive theory of culture. His theory challenges some established approaches in disciplines such as philosophy, semiotics, sociology, political theory, aesthetics, and history itself. Annotation copyright by Book News, Inc., Portland, OR.

In recent years, a number of different disciplines have begun to investigate the fundamental role context appears to play in a number of cognitive phenomena. Traditionally, linguistics, and the fields of communication and pragmatics in particular, have been the areas that have focused the most on contextual effects. Context has increasingly been studied for its role in influencing mental concepts, for some scholars being considered constitutive for most – if not all – concepts. Cognitive neuroscience is now starting to consider (...) in a systematic way how context interacts with neural responses, although this research is still scattered and concentrated in a small number of specific cases only. In this chapter, we attempt to tie these three levels together, since only from their integration can a comprehensive explanation of how context affects cognition be constructed. The way context drives language comprehension depends on the effects of context on the conceptual scaffolding of the listener, which in turn, is the result of his neural responses in combination to context. These neural responses derive from learning throughout the history of experiences of the individual, and the association between possible contexts and heard utterances. The road we take to accomplishing the multi-level integration between what appear to be distant domains, is a computational one. This approach meets with the mechanistic framework of explanation, which is currently held as the most appropriate way of approaching cognitive phenomena that is often characterized by a multiplicity of levels, as is the case with context. The core underlying concept of the neurocomputational framework here proposed, is an account of neural representation, based on structural similarity. Structural representations are still the best option on the market in cognitive science, but in their traditional form, derived from classical measurement theory, are affected by a number of serious drawbacks, including not being able to account for context. We suggest a different account of structural similarity, one informed by current neuroscience, where the homomorphic relations required for structural similarity are derived from neural population coding. In a preliminary mathematical sketch, we indicate how this approach can construct neural aggegations that are sensitive to context. (shrink)

Previous research showed that sensorimotor information affects the perception of properties associated with implied perceptual context during language comprehension. Three experiments addressed a novel question of whether perceptual context may contribute to a simulation of information about such out‐of‐sight objects as cast shadows. In Experiment 1, participants read a sentence that implied a particular shadow cast on a target (blinds vs. an open window) and then verified the picture of the object onto which a shadow was cast. Responses were faster (...) when the shadow of blinds cast on the object matched that implied by the sentence. However, the data did not show the same matching effect for pictures with cast shadows from an open window. In Experiments 2 and 3, we found that verification times for pictures with no cast shadows were faster when preceded by an “open window” sentence, thus suggesting that reading the sentence does not elicit a visual simulation of any specific shadow. Experiment 3 showed that the objects superimposed with a cast shadow of the blinds and blinds themselves were verified faster after reading a “blinds” sentence. However, the results of an order analysis showed the temporal stability of the “blinds shadows” effect, but the disappearance of the “blinds” effect in the second half of the data. We conclude that the results are compatible, to a lesser or greater extent, with multiple accounts, and discuss our findings in the context of a mental imagery view, a mental simulation view, and an amodal representation view. (shrink)

A model is presented that addresses both the distribution and comprehension of different forms of referring expressions in language. This model is expressed in a formalism (Kamp & Reyle, 1993) that uses interpretive rules to map syntactic representations onto representations of discourse. Basic interpretive rules are developed for names, pronouns, definite descriptions, and quantified descriptions. These rules are triggered by syntactic input and interact dynamically with representations of discourse to establish reference and coreference. This interaction determines the ease with which (...) coreference can be established for different linguistic forms given the existing discourse context. The performance of the model approximates that observed in studies of intuitive judgments of grammaticality and studies using online measures of language comprehension. The model uses the same basic interpretive mechanisms for coreference within and between sentences, thereby linking the domain traditionally studied by generative linguists to domains that have been of concern primarily to psychologists and computational linguists. (shrink)

Some mental events are conscious, some are unconscious. What is the difference between the two? Uriah Kriegel offers an answer. His aim is a comprehensive theory of the features that all and only conscious mental events have. The key idea is that consciousness arises when self-awareness and world-awareness are integrated in the right way. Conscious mental events differ from unconscious ones in that, whatever else they may represent, they always also represent themselves, and do so in a very specific (...) way. Subjective Consciousness is a fascinating new move forward towards a full understanding of the mind. (shrink)

Neuroimaging evidence suggests that the left inferior frontal gyrus (LIFG) supports temporary storage of linguistic material during linguistic tasks rather than computing a syntactic representation. The LIFG is not activated by simple sentences but by complex sentences and maintenance of word lists. Under this hypothesis, agrammatism should only disturb comprehension for constructions in which storage is essential.

The present study investigated the comprehension processes of verbal irony by clarifying the temporally distinct contributions of three information sources, namely, salience-based lexical meaning, egocentric context, and allocentric Theory of Mind. We predicted that salience-based lexical meaning initially activates the literal representation of an ironic utterance. This is immediately followed by the activation of the ironic representation supported by the automatic interaction between salience-based lexical meaning and egocentric context. Finally, overall interpretation is achieved by incorporating the information from (...) Theory of Mind, which is provided by effortful processing. Salience-based representations are retained rather than suppressed. Cognitive load prevents incorporating the allocentric information given by Theory of Mind, resulting in an egocentric interpretation. The experimental results supported our hypothesis: both ironic representations (Experiment 1) and salience-based literal representations (Experiment 2a) become active early on. Cognitive load prevented the deactivation of unintended ironic representations (Experiment 3) and did not affect the retention of salience-based representations (Experiment 4). Intentional irony required longer reading times than unintentional irony and literal utterances (Experiment 5). (shrink)

This paper presents a computational model that integrates a dynamically structured holographic memory system into the ACT-R cognitive architecture to explain how linguistic representations are encoded and accessed in memory. ACT-R currently serves as the most precise expression of the moment-by-moment working memory retrievals that support sentence comprehension. The ACT-R model of sentence comprehension is able to capture a range of linguistic phenomena, but there are cases where the model makes the wrong predictions, such as the over-prediction of retrieval interference (...) effects during sentence comprehension. Here, we investigate one such case involving the processing of sentences with negative polarity items and consider how a dynamically structured holographic memory system might provide a cognitively plausible and principled explanation of some previously unexplained effects. Specifically, we show that by replacing ACT-R's declarative memory with a dynamically structured memory, we can explain a wider range of behavioral data involving reading times and judgments of grammaticality. We show that our integrated model provides a better fit to human error rates and response latencies than the original ACT-R model. These results provide proof-of-concept for the unification of two independent computational cognitive frameworks. (shrink)

This study examined representations of Kant’s theory of ethics in three applied ethics open textbooks. In two of the three textbooks, the concept of autonomy, which is the foundational concept in Kant’s theory, was generally missing. The three textbooks introduced and explained Kant’s emphasis on duty, but only one of them explicated the connection between duty and autonomy. All three textbooks introduced and explained Kant’s concept of universalizability. All of them also introduced the Formula of Humanity (FH), however, none of (...) them explained what Kant meant by “humanity” in that formula (Kant defined humanity as “the capacity to set ends”). The study concluded with recommendations for textbook authors on how to write valid and comprehensive introductions to Kant’s theory. The recommendations were the following: First, Kant’s theory should be introduced as a theory of both autonomy and duty. Second, the Formula of Universal Law (FUL) should be introduced as a tool that supports agents in practicing autonomy, not as a formula that should be blindly followed; blindly following formulas contradicts with Kant’s commitment to the unconditional respect of human autonomy. Finally, when introducing Kant’s command to treat humanity as an end-in-itself, it is important to explain what he meant by humanity and by end-in-itself. (shrink)

This paper presents a computational model that integrates a dynamically structured holographic memory system into the ACT-R cognitive architecture to explain how linguistic representations are encoded and accessed in memory. ACT-R currently serves as the most precise expression of the moment-by-moment working memory retrievals that support sentence comprehension. The ACT-R model of sentence comprehension is able to capture a range of linguistic phenomena, but there are cases where the model makes the wrong predictions, such as the over-prediction of retrieval interference (...) effects during sentence comprehension. Here, we investigate one such case involving the processing of sentences with negative polarity items and consider how a dynamically structured holographic memory system might provide a cognitively plausible and principled explanation of some previously unexplained effects. Specifically, we show that by replacing ACT-R's declarative memory with a dynamically structured memory, we can explain a wider range of behavioral data involving reading times and judgments of grammaticality. We show that our integrated model provides a better fit to human error rates and response latencies than the original ACT-R model. These results provide proof-of-concept for the unification of two independent computational cognitive frameworks. (shrink)

Production and comprehension have long been viewed as inseparable components of language. The study of vision, by contrast, has centered almost exclusively on comprehension. Here we investigate drawing—the most basic form of visual production. How do we convey concepts in visual form, and how does refining this skill, in turn, affect recognition? We developed an online platform for collecting large amounts of drawing and recognition data, and applied a deep convolutional neural network model of visual cortex trained only on natural (...) images to explore the hypothesis that drawing recruits the same abstract feature representations that support natural visual object recognition. Consistent with this hypothesis, higher layers of this model captured the abstract features of both drawings and natural images most important for recognition, and people learning to produce more recognizable drawings of objects exhibited enhanced recognition of those objects. These findings could explain why drawing is so effective for communicating visual concepts, they suggest novel approaches for evaluating and refining conceptual knowledge, and they highlight the potential of deep networks for understanding human learning. (shrink)

Despite the fact that human daily emotions are co-occurring by nature, most neuroscience studies have primarily adopted a univariate approach to identify the neural representation of emotion (emotion experience within a single emotion category) without adequate consideration of the co-occurrence of different emotions (emotion experience across different emotion categories simultaneously). To investigate the neural representations of multivariate emotion experience, this study employed the inter-situation representational similarity analysis (RSA) method. Researchers used an EEG dataset of 78 participants who watched 28 (...) video clips and rated their experience on eight emotion categories. The EEG-based electrophysiological representation was extracted as the power spectral density (PSD) feature per channel in the five frequency bands. The inter-situation RSA method revealed significant correlations between the multivariate emotion experience ratings and PSD features in the Alpha and Beta bands, primarily over the frontal and parietal-occipital brain regions. The study found the identified EEG representations to be reliable with sufficient situations and participants. Moreover, through a series of ablation analyses, the inter-situation RSA further demonstrated the stability and specificity of the EEG representations for multivariate emotion experience. These findings highlight the importance of adopting a multivariate perspective for a comprehensive understanding of the neural representation of human emotion experience. (shrink)

The aim of this paper is to show that a comprehensive account of the role of representations in science should reconsider some neglected theses of the classical philosophy of science proposed in the first decades of the 20th century. More precisely, it is argued that the accounts of Helmholtz and Hertz may be taken as prototypes of representational accounts in which structure preservation plays an essential role. Following Reichenbach, structure-preserving representations provide a useful device for formulating an up-to-date version (...) of a (relativized) Kantian a priori. An essential feature of modern scientific representations is their mathematical character. That is, representations can be conceived as (partially) structure-preserving maps or functions. This observation suggests an interesting but neglected perspective on the history and philosophy of this concept, namely, that structure-preserving representations are closely related to a priori elements of scientific knowledge. Reichenbach’s early theory of a relativized constitutive but non-apodictic a priori component of scientific knowledge provides a further elaboration of Kantian aspects of scientific representation. To cope with the dynamic aspects of the evolution of scientific knowledge, Cassirer proposed a re-interpretation of the concept of representation that conceived of a particular representation as only one phase in a continuous process determined by pragmatic considerations. Pragmatic aspects of representations are further elaborated in the classical account of C.I. Lewis and the more modern of Hasok Chang. (shrink)

In a previous Philo article, it was shown how properties could be ontologically dispensed with via a representational analysis: to be an X is to comprehensively represent all the properties of an X. The current paper extends that representationalist (RT) theory by explaining representation itself in parallel epistemic rather than ontological terms. On this extended RT (ERT) theory, representations of X, as well as the real X, both may be identified as providing information about X, whether partial or (...) class='Hi'>comprehensive. But that information does not match ontological, property-based analyses of X, so it is epistemically fundamental–hence supporting a broadly conceptualist rather than nominalist metaphysics. (shrink)

THAT DESCARTES WAS INTERESTED from the very start of his philosophic career in developing a method for problem-solving that could be applied generally to the solution of "unknowns" is well known. Also well known is the further development of the method by the introduction of the technique of hyperbolic doubt in his mature, metaphysical works, especially in the Meditations. Perhaps less widely appreciated is the important role that accounts of systems of signs played in the development of his early accounts (...) of a method; it is crucial to the method that the elements of problems be identified and signified by simple and convenient signs that can then be arranged to display the relations among the known elements and the unknown solution. Commentators such as Michel Foucault have brought this interest in signification to our attention and shown the widespread importance of such projects in the seventeenth century. Few, however, have examined the relation between the early projects of signification and the later, metaphysical works. I suggest that one way to understand Descartes' metaphysical turn in his mature work is as an attempt to ground the accounts he has offered of signification in something further: representation, particularly mental representation. From the start, Descartes explains signification by reference to mental representation: a word, figure, or symbol signifies its objects by prompting the mind to think of those objects. Although Descartes offers detailed and comprehensive accounts in works such as the Rules for the Direction of the Mind of what constitutes effective and convenient systems of signification by way of the relations between signifying element, system, and the objects signified thereby, the mental operations that allow signification to operate, especially that of the "intuition of simple natures," is never fully explained. It remains to the mature phase of Descartes' career to crack open the basic operations of our thought by developing the full-fledged doctrine of ideas--a doctrine that makes explicit how an object is represented to a subject. (shrink)

Traditionally, the language faculty was supposed to be a device that maps linguistic inputs to semantic or conceptual representations. These representations themselves were supposed to be distinct from the representations manipulated by the hearer’s perceptual and motor systems. Recently this view of language has been challenged by advocates of embodied cognition. Drawing on empirical studies of linguistic comprehension, they have proposed that the language faculty reuses the very representations and processes deployed in perceiving and acting. I review some of the (...) evidence and arguments in favor of the embodied view of language comprehension, and argue that none of it is conclusive. Moreover, the embodied view itself blurs two important distinctions: first, the distinction between linguistic comprehension and its typical consequences; and second, the distinction between representational content and vehicles. Given that these distinctions are well-motivated, we have good reason to reject the embodied view of linguistic understanding.Keywords: Language; Comprehension; Perception; Action; Embodied cognition; Representation. (shrink)