How much does stimulus input shape perception? The common-sense view is that our perceptions are representations of objects and their features and that the stimulus structures the perceptual object. The problem for this view concerns perceptual biases as responsible for distortions and the subjectivity of perceptual experience. These biases are increasingly studied as constitutive factors of brain processes in recent neuroscience. In neural network models the brain is said to cope with the plethora of sensory information by predicting stimulus (...) regularities on the basis of previous experiences. Drawing on this development, this chapter analyses perceptions as processes. Looking at olfaction as a model system, it argues for the need to abandon a stimulus-centred perspective, where smells are thought of as stable percepts, computationally linked to external objects such as odorous molecules. Perception here is presented as a measure of changing signal ratios in an environment informed by expectancy effects from top-down processes. (shrink)

The strategies of action employed by a human subject in order to perceive simple 2-D forms on the basis of tactile sensory feedback have been modelled by an explicit computer algorithm. The modelling process has been constrained and informed by the capacity of human subjects both to consciously describe their own strategies, and to apply explicit strategies; thus, the strategies effectively employed by the human subject have been influenced by the modelling process itself. On this basis, good qualitative and semi-quantitative (...) agreement has been achieved between the trajectories produced by a human subject, and the traces produced by a computer algorithm. The advantage of this reciprocal modelling option, besides facilitating agreement between the algorithm and the empirically observed trajectories, is that the theoretical model provides an explanation, and not just a description, of the active perception of the human subject. (shrink)

This article proposes an object properties approach to object perception. By thinking about objects as clusters of co-instantiated features that possess certain canonical higher-order object properties we can steer a middle way between two extreme views that are dominant in different areas of empirical research into object perception and the development of the object concept. Object perception should be understood in terms of perceptual sensitivity to those object properties, where that perceptual sensitivity can be explained in a (...) manner consistent with the graded representation approach adopted by some connectionist modellers. The object properties approach does justice to the differences between a perceptual system solving the binding problem, on the one hand, and genuinely perceiving objects, on the other, without running into the theoretical problems associated with treating young infants as 'little scientists'. (shrink)

This paper proposes a theory of how conscious emotional experience is produced by the brain as the result of many interacting brain areas coordinated in working memory. These brain areas integrate perceptions of bodily states of an organism with cognitive appraisals of its current situation. Emotions are neural processes that represent the overall cognitive and somatic state of the organism. Conscious experience arises when neural representations achieve high activation as part of working memory. This theory explains numerous phenomena concerning emotional (...) consciousness, including differentiation, integration, intensity, valence, and change. Ó 2007 Elsevier Inc. All rights reserved. (shrink)

This text aims at presenting a general characterization of the act of perceiving a particular object, in a framework in which perception is conceived of as a mental and cognitive faculty having specific functions that other faculties such as imagination and memory do not possess. I introduce the problem of determining the occurrence of singular perception of a physical object, as opposed to the occurrence of other mental states or attitudes. I propose that clarifying this occurrence problem requires (...) making explicit the conditions of perceptual competence/faculty so as to explain the occurrence of each perceptual performance on the basis of the use of this competence. I argue then for a direct relational model according to which the singular perception of an object depends on a competence of connecting the perceiver directly with each target object. This model is compatible with a disjunctive approach to perception according to which each particular experience of an object corresponds either to a direct perceptual relation with this object or to the illusion of having the experience of this object. The arguments in favour of this relational model rest on the idea that the faculty of perception grounds the capacity to demonstratively identify physical objects. (shrink)

Are similar, or even identical, mechanisms used in the computational modeling of speech segmentation, serial image processing, and music processing? We address this question by exploring how TRACX2, a recognition‐based, recursive connectionist autoencoder model of chunking and sequence segmentation, which has successfully simulated speech and serial‐image processing, might be applied to elementary melody perception. The model, a three‐layer autoencoder that recognizes “chunks” of short sequences of intervals that have been frequently encountered on input, is trained on the (...) tone intervals of melodically simple French children's songs. It dynamically incorporates the internal representations of these chunks into new input. Its internal representations cluster in a manner that is consistent with “human‐recognizable” melodic categories. TRACX2 is sensitive to both contour and proximity information in the musical chunks that it encounters in its input. It shows the “end‐of‐word” superiority effect demonstrated by Saffran et al. (1999) for short musical phrases. The overall findings suggest that the recursive autoassociative chunking mechanism, as implemented in TRACX2, may be a general segmentation and chunking mechanism, underlying not only word‐ and image‐chunking, but also elementary melody processing. (shrink)

This study presents a probabilistic model of melody perception, which infers the key of a melody and also judges the probability of the melody itself. The model uses Bayesian reasoning: For any “surface” pattern and underlying “structure,” we can infer the structure maximizing P(structure|surface) based on knowledge of P(surface, structure). The probability of the surface can then be calculated as ∑ P(surface, structure), summed over all structures. In this case, the surface is a pattern of notes; the (...) structure is a key. A generative model is proposed, based on three principles: (a) melodies tend to remain within a narrow pitch range; (b) note‐to‐note intervals within a melody tend to be small; and (c) notes tend to conform to a distribution (or key profile) that depends on the key. The model is tested in three ways. First, it is tested on its ability to identify the keys of a set of folksong melodies. Second, it is tested on a melodic expectation task in which it must judge the probability of different notes occurring given a prior context; these judgments are compared with perception data from a melodic expectation experiment. Finally, the model is tested on its ability to detect incorrect notes in melodies by assigning them lower probabilities than the original versions. (shrink)

Quality Space Theory is a holistic model of qualitative states. On this view, individual mental qualities are defined by their locations in a space of relations, which reflects a similar space of relations among perceptible properties. This paper offers an extension of Quality Space Theory to temporal perception. Unconscious segmentation of events, the involvement of early sensory areas, and asymmetries of dominance in multi-modal perception of time are presented as evidence for the view.

Enculturation is known to shape the perception of meter in music but this is not explicitly accounted for by current cognitive models of meter perception. We hypothesize that meter perception is a strategy for increasing the predictability of rhythmic patterns and that the way in which it is shaped by the cultural environment can be understood in terms of probabilistic predictive coding. Based on this hypothesis, we present a probabilistic model of meter perception that uses (...) statistical properties of the relation between rhythm and meter to infer meter from quantized rhythms. We show that our model can successfully predict annotated time signatures from quantized rhythmic patterns derived from folk melodies. Furthermore, we show that by inferring meter, our model can better predict the onsets of future events than a similar probabilistic model that does not infer meter. Finally, we demonstrate how our model can be used in a proof-of-concept simulation of enculturation. From this simulation, we derive a class of rhythms that are likely to be interpreted differently by enculturated listeners with different histories of exposure to rhythms. (shrink)

In recent decades, scientists and philosophers have developed several naturalistic theories of consciousness, in which they try to work out some theoretical foundations for a satisfactory solution to the problem of voluntary acts, in particular the genesis of voluntary bodily movements. From the author’s point of view, depending on which concept of consciousness scientists rely on in their empirical studies of voluntary movements, volition can be understood either as a generative act or as a perceptual act. The first part of (...) the article shows that nowadays there are two competing philosophical and scientific models of volition: the generative model (dualistic and casualistic types) and the perceptual model (strong and weak types). The second part of the article deals with some experimental data from cognitive psychology and neuroscience related to the study of voluntary movements and concludes that they are in favor of the perceptive model of volition. (shrink)

Using a national survey of US consumers, this study demonstrates the positive effects of corporate social responsibility communication factors on consumers’ CSR knowledge, trust, and perceptions of corporate reputation. The study also examines the role of a stakeholder-specific factor of consumer–company identification in the process of CSR communication. The findings suggest that the positive effects of CSR informativeness are enduring and independent of consumers’ identification levels with a company, whereas the positive consequences of the personal relevance, transparency, and factual tone (...) of CSR communication intensify as the identification levels increase. Although CSR communication in which a self-promotional tone is adopted has a negative relationship with consumer trust and corporate reputation, such negative effects are not evident among consumers with very high identification levels with a company. Such CSR communication in fact improves consumers’ CSR knowledge and, in turn, has a positive effect on corporate reputation. (shrink)

In order to secure the limits of the critical use of reason, and to succeed in the critique of speculative metaphysics, Immanuel Kant (1724–1804) had to present a full account of human cognitive experience. Perception in Kant’s Model of Experience is a detailed investigation of this aspect of Kant’s grand enterprise with a special focus: perception. The overarching goal is to understand this common phenomenon both in itself and as the key to understanding Kant’s views of experience. (...) In the process, the author argues against any such reading of Kant that puts too much emphasis on concepts and understanding in perception. This means that claims of the sort that intuitions cannot play their role without concepts, that sensibility cannot bring anything to cognition without being mediated through the functions of understanding, or that there is no such thing as concept-independent perception, are shown to be either plainly false or misleading at best. Together with the contemporary topics examined by the end of the book, the findings suggest how the role of conceptual thinking in human cognition has been exaggerated partly because of a misplaced interpretation of Kant, which not only makes perception far more intellectual in character than what was intended by Kant himself, but distorts Kant’s account of cognition by overlooking what there is at the heart of his critical philosophy: the revaluation of sensible cognition. (shrink)

This paper assesses the so-called “direct-perception” model of empathy. This model draws much of its inspiration from the Phenomenological tradition: it is offered as an account free from the assumption that most, if not all, of another’s psychological states and experiences are unobservable and that one’s understanding of another’s psychological states and experiences are based on inferential processes. Advocates of this model also reject the simulation-based approach to empathy. I first argue that most of their criticisms (...) miss their target because they are directed against the simulation-based approach to mindreading. Advocates of this model further subscribe to an expressivist conception of human behavior and assume that some of an individual’s psychological states (e.g. her goals and emotions, not her beliefs) can be directly perceived in the individual’s expressive behavior. I argue that advocates of the direct-perception model face the following dilemma: either they embrace behaviorism or else they must recognize that one could not understand another’s goal or emotion from her behavior alone without making contextual assumptions. Finally, advocates of the direct-perception model endorse the narrative competency hypothesis, according to which the ability to ascribe beliefs to another is grounded in the ability to understand narratives. I argue that this hypothesis is hard to reconcile with recent results in developmental psychology showing that preverbal human infants seem able to ascribe false beliefs to others. (shrink)

A number of recent studies have examined the effects of phonological variation on the perception of speech. These studies show that both the lexical representations of words and the mechanisms of lexical access are organized so that natural, systematic variation is tolerated by the perceptual system, while a general intolerance of random deviation is maintained. Lexical abstraction distinguishes between phonetic features that form the invariant core of a word and those that are susceptible to variation. Phonological inference relies on (...) the context of surface changes to retrieve the underlying phonological form. In this article we present a model of these processes in speech perception, based on connectionist learning techniques. A simple recurrent network was trained on the mapping from the variant surface form of speech to the underlying form. Once trained, the network exhibited features of both abstraction and inference in its processing of normal speech, and predicted that similar behavior will be found in the perception of nonsense words. This prediction was confirmed in subsequent research (Gaskell & Marslen-Wilson, 1994). (shrink)

The Perception-Action Model of empathy (PAM) is both sufficiently broad and sufficiently detailed to be able to describe and accommodate a wide range of phenomena – including the apparent “cold-heartedness” or lack of empathy of psychopaths. We show how the physiological, cognitive, and emotional elements of the PAM map onto known and hypothesized attributes of the psychopathic personality.

We discuss the relation of the Theory of Event Coding (TEC) to a computational model of expert perception, CHREST, based on the chunking theory. TEC's status as a verbal theory leaves several questions unanswerable, such as the precise nature of internal representations used, or the degree of learning required to obtain a particular level of competence: CHREST may help answer such questions.

A neurally plausible model of how the process of visually perceiving a letter in the context of a word is learned, and how such processing occurs in adults is proposed. The model consists of a collection of abstract letter feature detector neurons and their interconnections. The model also includes a learning rule that specifies how these interconnections evolve with experience. The interconnections between neurons can be interpreted as representing the spatially redundant, sequentially redundant, and transgraphemic information in (...) letter string displays. Anderson, Silverstein, Ritz, and Jones's (1977) “Brain‐State‐in‐a‐Box” (BSB) neural mechanism is then used to implement the proposed model. The resulting system makes explicit qualitative predictions using both letter recognition accuracy and reaction time as dependent measures. In particular, the model offers an integrated explanation of some experiments involving manipulations of orthographic regularity, masking, case alternations, and experience with words. The similarities and differences between the model and models proposed by Adams (1979) and McClelland and Rumelhart (1981) are also discussed. (shrink)

Undoubtedly the Penrose-Hameroff Orch OR model may be considered as a good theory for describing information processing mechanisms and holistic phenomena in the human brain, but it doesn’t give us satisfactory explanation of human perception. In this work a new approach explaining our perception is introduced, which is in good agreement with Orch OR model and other mainstream science theories such as string theory, loop quantum gravity and holographic principle. It is shown that human perception (...) cannot be explained in the terms of elementary particles and we should introduce new indivisible holistic objects with geometry based on smooth infinitesimal analysis - elastic membranes. The example of such a membrane is our Universe which is an indivisible whole. It is shown that our perception may be considered as the result of elastic oscillations of two dimensional (2D) elastic membranes with closed topology embedded in our bodies. Only one elastic membrane responsible for its perceptions will correspond to the selected organism, but there may be other membranes, even at the cell level. In other words, reality may be considered as the process of time evolution of holistic energetically very weak macro objects - elastic membranes with the geometry based on smooth infinitesimal analysis. An embedded membrane in this multidimensional world will look different for the external and internal observers: from the outside it will look like a material object with smooth infinitesimal geometry, while from the inside our Universe-like space-time fabric. When interacting with elementary particles and other membranes, a membrane will transform their energy into its elastic energy (a new form of energy) - the energy of stretching of the infinitesimal segments. The theory postulates that these elastic deformations will not be observable from the point of view of the internal observer. Heisenberg’s uncertainty principle will work in this physics only from the point of view of the internal observer. For the external observer each embedded elastic membrane may be stretched and even a very small region will become observable. For example, living organisms play the role of internal observers of the Universe, and at the same time they serve as external observers for 2D membranes embedded into our Universe. We can observe our 2D self-membranes through our perceptions, which are encoded in elastic oscillations of the elastic membrane. According to the theory, elastic membranes occupy energetically favorable positions around microtubules involved into Orch OR. The theory not only gives us a really multidimensional holistic picture of reality, but it also provides us with a new method for understanding such phenomena as perception, self-awareness and will. (shrink)

The discovery of so-called ‘mirror neurons’ - found to respond both to own actions and the observation of similar actions performed by others - has been enormously influential in the cognitive sciences and beyond. Given the self-other symmetry these neurons have been hypothesized as underlying a ‘mirror mechanism’ that lets us share representations and thereby ground core social cognitive functions from intention understanding to linguistic abilities and empathy. I argue that mirror neurons are important for very different reasons. Rather than (...) a symmetric ubiquitous or context- independent mechanism, I propose that these neurons are part of broader sensorimotor circuits, which help us navigate and predict the social affordance space that we meet others in. To develop both the critical and positive project I analyze the interpretive choices and the debate surrounding the mirror neuron research and show how the field is marred by highly questionable assumptions about respectively motor and social cognition. The discovery of mirror neurons - and the sensorimotor circuits of which these neurons are a part – actually empirically challenge many of these tacit assumptions. Findings of sensorimotor goal representations at levels of abstraction well beyond actual sensory information and kinetic movements challenge the idea of motor cognition as primarily output production. Additionally, the focus on 3rd person mindreading of hidden mental states is misguiding the field of social cognition. Much ‘mind-reading’ seems rooted in sensorimotor representations and a developmentally primary 2nd person understanding of actions and the mental lives of others, which precisely breaks the assumed dichotomy between mind and behavior. I propose a Social Affordance model where parallel fronto-parietal sensorimotor circuits support representations not just of other people’s actions but of the overall social affordance space. It is a process that monitors concrete goals and teleological possibilities that the environment affords respectively oneself and other present agents. With this model I hypothesize that the complex spectrum of sensorimotor integrations are indeed essential not only to normal action choice calibration but also to social cognitive abilities, as the sensorimotor teleological representations let us relate to others and understand their action choices in a shared pragmatic and intentional context. (shrink)

Perceptual theories of emotion purport to avoid the problems of traditional cognitivism and noncognitivism by modelling emotion on perception, which shares the most conspicuous dimensions of emotion, intentionality and phenomenality. In this paper, I shall reconstrue and discuss four key arguments that perceptual theorists have presented in order to show that emotion is a kind of perception, or that there are close analogies between emotion and perception. These arguments are, from stronger to weaker claims: the perceptual system (...) argument; the argument from noninferential structure; the argument from epistemic role; and the argument from phenomenology. I argue that, while the arguments in favour of assimilating emotion to perception fail, the analogies between emotion and perception are not as close as perceptual theorists suggest even if some emotions resemble perception more than others, thanks to the two-levelled structure of emotional processing. (shrink)