According to a variety of recent ‘enactivist’ proposals, the material basis of conscious experience might extend beyond the boundaries of the brain and nervous system and into the environment. Clark (2009) surveys several such arguments and finds them wanting. Here I respond on behalf of the enactivist. Clarifying the commitments of enactivism at the personal and subpersonal levels and considering how those levels relate lets us see where Clark’s analysis of enactivism goes wrong. Clark understands the enactivists as attempting to (...) provide hypotheses about the subpersonal mechanisms underlying experience according to which those mechanisms contingently include portions of the environment. But understanding enactivism instead as involving a relational conception of experience at the personal level, with apparent implications for the location of the subpersonal mechanisms of experience, allows us to make better sense of the enactivist arguments, and make the case for conscious externalism. (shrink)

I show that gene regulation networks are qualitatively consistent and therefore sufficiently similar to linearly seperable connectionist networks to warrant that the connectionist framework be applied to gene regulation. On this view, natural selection designs gene regulation networks to overcome the difficulty of development. I offer some general lessons about their evolvability that can be learned by examining the generic features of connectionist networks.

This article examines how discussions around the new interdisciplinary research area combining neuroscience and education have brought into sharp relief differences in the philosophies of learning in these two areas. It considers the difficulties faced by those working at the interface between these two areas and, in particular, it focuses on the challenge of avoiding 'non-sense' when attempting to include the brain in educational argument. The paper relates common transgressions in sense-making with dualist and monist notions of the mind-brain relationship. (...) It then extends a brain-mind-behaviour model from cognitive neuroscience to include a greater emphasis on social interaction and construction. This creates a tool for examining the potentially complex interrelationships between the different learning philosophies in this emerging new field. (shrink)

Delusions are currently characterised as false beliefs produced by incorrect inference about external reality (DSM IV). This inferential conception has proved hard to link to explanations pitched at the level of neurobiology and neuroanatomy. This paper provides that link via a neurocomputational theory, based on evolutionary considerations, of the role of the prefrontal cortex in regulating offline cognition. When pathologically neuromodulated the prefrontal cortex produces hypersalient experiences which monopolise offline cognition. The result is characteristic psychotic experiences and patterns of thought. (...) This bottom-up account uses neural network theory to integrate recent theories of the role of dopamine in delusion with the insights of inferential accounts. It also provides a general model for evolutionary psychiatry which avoids theoretical problems imported from evolutionary psychology. (shrink)

Exploring emotions, in terms of their evolutionary origin; their basic neurobiological substratum, and their functional significance in autonomous agents, we propose a model of minimal functionality of emotions. Our aim is to provide a naturalized explanation – mostly based on an interactivist model of emergent representation and appraisal theory of emotions – concerning basic aesthetic emotions in the formation of aesthetic judgment. We suggest two processes the Cognitive Variables Subsystem (CVS) which is fundamental for the accomplishment of the function of (...) heuristic learning; and Aesthetic Appraisal Subsystem (AAS) which primarily affects the elicitation of aesthetic emotional meanings. These two subsystems (CVS and AAS) are organizationally connected and affect the action readiness of the autonomous agent. More specifically, we consider the emotional outcome of these two subsystems as a functional indication that strengthens or weakens the anticipation for the resolution of the dynamic uncertainty that emerges in the particular interaction. (shrink)