Gray hypothesizes that the contents of consciousness correspond to the outputs of a subicular (hippocampal/temporal lobe) comparator that compares the current state of the organism's perceptual world with a predicted state. I argue that Gray has identified a key contributing system to conscious awareness, but that his model is inadequate for explaining how conscious contents are generated in the brain. An alternative model is offered.

Gray's neuropsychological model of consciousness uses a hierarchical feedback loop framework that has been extensively discussed by many others in psychology. This commentary therefore urges Gray to integrate with, or at least acknowledge previous models. It also points out flaws in his feedback model and suggests directions for further theoretical work.

O'Brien & Opie do not address the question of the psychotherapeutic role of unconscious representational states such as beliefs. A dilemma is proposed: if they accept the legitimacy of such states then they should modify what they say about dissociation, and if they do not, they owe us an account of why.

The Miyashita experiments are very interesting and the results should be examined from a viewpoint of attractor dynamics. Amit's target article shows a path toward realistic modeling by artificial neural networks (ANN), but it is not necessarily the only one. I introduce another model that can explain a substantial part of the empirical observations and makes an interesting prediction. This model consists of such units that have nonmonotonic input-output characteristics with local inhibition neurons.

Every immediate memory is unique; it is therefore unlikely to consist of an attractor or even a combination of attractors. In the present state of knowledge about the chemistry of synaptic transmission, there is no reason to look beyond neurons that directly receive sensory afferents for the afterdischarges that correspond to active memories.

Perception purports to help you gain knowledge of the world even if the world is not the way you expected it to be. Perception also purports to be an independent tribunal against which you can test your beliefs. It is natural to think that in order to serve these and other central functions, perceptual representations must not causally depend on your prior beliefs and expectations. In this paper, I clarify and then argue against the natural thought above. All perceptual systems (...) must solve an under-determination problem: the sensory data they receive could be caused by indefinitely many arrangements of distal objects and properties. Using a Bayesian approach to perceptual processing, I argue that in order to solve the under-determination problem, perceptual capacities must rely on prior beliefs or expectations of some kind. I then argue that perceptual states or processes can help ground knowledge of the world whether the ‘beliefs’ necessary for perceptual processing are encoded as sub-personal states within a perceptual system or cognitive states, such as person-level beliefs. My argument has two main parts. First, I give a preliminary argument that cognitive influence on perception can be appropriate, and I respond to three lines of objection. Second, I argue that cognitively influenced perceptual states can be instances of seeing that p, which makes the relevant states well suited to help ground knowledge that p. I conclude that a cognitively penetrated perceptual state or process can help ground knowledge under some circumstances. (shrink)

This paper critically examines the argument structure of Fodor's theory of modularity. Fodor claims computational autonomy as the essential properly of modular processing. This property has profound consequences, burdening modularity theory with corollaries of rigidity, non-plasticity, nativism, and the old Cartesian dualism of sensing and thinking. However, it is argued that Fodor's argument for computational autonomy is crucially dependent on yet another postulate of Fodor's theory, viz. his thesis of strong modularity, ie. the view that functionally distinct modules must also (...) have physical counterparts in the neural architecture of the brain. Yet, Fodor offers little or no independent support for this neurological speculation. Moreover, due to the cognitivist underpinnings of Fodor's theory his view of modules as 'mental organs'faces an untenable dilemma that is to be traced back to the earliest history of modem cognitive science, viz. to the rationalist-computationalist research program initiated by Descartes and Male-branche. The tension characteristic for the Cartesian program was one that arose between information correlation and information processing accounts of the transactions between body and mind. Similarly, the tension characteristic for Fodor's theory of modularity is one between a causal account of modules on the model of simple detection mechanisms, and an information processing account of modules on the model of vast and elaborate cognitive systems. It is argued that the resulting concept of a cognitive module Fodorian style constitutes an amalgam of incompatible desiderata that fails to stake out a natural kind for cognitive science. As an alternative account, the final section shows connectionism to be capable of encompassing both Gibsonian and 'new look' accounts of cognitive achievements within one theoretical perspective, thus providing a fruitful interfield theory capable of combining the theoretical resources of the ecological approach with the indispensable theoretical complement provided by psychological processing accounts. This change of perspective would ultimately involve recasting the symbo-functionalist notion of cognitive function along bio-psychological lines. (shrink)

The comparator model is insufficient for three reasons. First, consciousness is involved in the process of comparison as well as in the output. Second, we still do not have enough neurophysiological information to match the events of consciousness, although such knowledge is growing. Third, the anatomical localisation proposed can be damaged bilaterally but consciousness will persist.

Many philosophers, and particularly those of a Kantian stripe, have suspected that claims about the ways the world and its Joints are (in contrast to claims about the joints in our models of the world and the way they are) make little sense. Recently, similar views have gained prominence in the philosophy of science and in cognitive psychology. The demise of the strong distinction between theoretical and observational terms over the past two decades is just one, among many, developments in (...) the philosophy of science which is of a piece with such suspicions. Meanwhile, a great deal of recent theoretical work on the psychology of categorization also affirms the fundamentality of our cognitive constructs in structuring human experience. (shrink)

This paper addresses a recent argument of the Churchlands against the "linguistic-rationalist" tradition exemplified by current cognitive-computational psychology. Because of its commitment to methodological solipsism--the argument goes--computational psychology cannot provide an account of how organisms are able to represent and "hook up to" the world. First I attempt to determine the exact nature of this charge and its relation to the Churchlands' long-standing polemic against 'folk psychology' and the linguistic-rationalist methodology. I then turn my attention to the Churchlands' account of (...) what it is for computational psychology to be methodologically solipsistic. I argue that there is no reason to suppose that methodological solipsism commits one to a purely syntactic theory of the mind (of the kind that Stephen Stich has recently advocated): the formality constraints that methodological solipsism imposes on psychological explanation do not exclude 'essential' reference to the representational content of mental states, as long as this content is construed in the 'narrow' sense. I conclude by raising a problem for computational psychology that may provide some real cause for concern. (shrink)

We explore the contribution made by oscillatory, synchronous neural activity to representation in the brain. We closely examine six prominent examples of brain function in which neural oscillations play a central role, and identify two levels of involvement that these oscillations take in the emergence of representations: enabling (when oscillations help to establish a communication channel between sender and receiver, or are causally involved in triggering a representation) and properly representational (when oscillations are a constitutive part of the representation). We (...) show that even an idealized informational sender–receiver account of representation makes the representational status of oscillations a non-trivial matter, which depends on rather minute empirical details. (shrink)