In The Entangled Brain, Pessoa criticizes standard approaches in cognitive neuroscience in which the brain is seen as a functionally decomposable, modular system with causal operations built up hierarchically. Instead, he advocates for an emergentist perspective whereby dynamic brain networks are associated, not with traditional psychological categories, but with behavioral functions characterized in evolutionary terms. Here, we raise a number of concerns with such a radical approach. We ultimately believe that while much revision to cognitive neuroscience is welcome and needed, (...) Pessoa’s more radical proposals may be counterproductive. (shrink)

A number of authors have recently cited phenomenal effects of covert attention as a source of objection to representationalism. These authors maintain that covert attention brings about changes to phenomenology that cannot be explained by changes in representational content. This paper deals with two related issues that are central to this debate: (1) how attention interacts with representational content, and (2) how variations in the precision or determinacy of representational content should be incorporated into representationalist accounts of perceptual phenomenology. I (...) address these issues in the course of responding to several recent anti-representationalist arguments that have been advance by Ned Block. I argue that attention can increase the precision of range content and that this provides a basis for defusing both the concerns raised by Block and more general concerns related to covert attention. I conclude by situating my response with respect to analogous proposals that have been developed around the determination relation. (shrink)

Functional robustness refers to a system’s ability to maintain a function in the face of perturbations to the causal structures that support performance of that function. Modularity, a crucial element of standard methods of causal inference and difference-making accounts of causation, refers to the independent manipulability of causal relationships within a system. Functional robustness appears to be at odds with modularity. If a function is maintained despite manipulation of some causal structure that supports that function, then the relationship between that (...) structure and function fails to be manipulable independent of other causal relationships within the system. Contrary to this line of reasoning, I argue that functional robustness often attends feedback control, rather than failures of modularity. Feedback control poses its own challenges to causal explanation and inference, but those challenges do not undermine modularity—and indeed, modularity is crucial to grappling with them. (shrink)