On some unwarranted tacit assumptions in cognitive neuroscience

Notions such as "truth" or "correspondence to the objective world" play no role in explanatory accounts of perception

Hoffman, Singh, and Prakash (Psychonomic Review and Bulletin, 2015, in press) intend to show that perceptions are evolutionarily tuned to fitness rather than to truth. I argue, partly in accordance with their objective, that issues of 'truth' or 'veridicality' have no place in explanatory accounts of perception theory, and rather belong to either ordinary discourse or to philosophy. I regard, however, their general presumption that the evolutionary development of core achievements of the human perceptual system would be primarily determined by aspects of fitness and adaption as unwarranted in light of the evidence available.

Towards a computational(ist) neurobiology of language: Correlational, integrated, and explanatory neurolinguistics

We outline what an integrated approach to language research that connects experimental, theoretical, and neurobiological domains of inquiry would look like, and ask to what extent unification is possible across domains. At the center of the program is the idea that computational/representational (CR) theories of language must be used to investigate its neurobiological (NB) foundations. We consider different ways in which CR and NB might be connected. These are (1) A Correlational way, in which NB computation is correlated with the CR theory; (2) An Integrated way, in which NB data provide crucial evidence for choosing among CR theories; and (3) an Explanatory way, in which properties of NB explain why a CR theory is the way it is. We examine various questions concerning the prospects for Explanatory connections in particular, including to what extent it makes sense to say that NB could be specialized for particular computations.

The maps problem and the mapping problem: two challenges for a cognitive neuroscience of speech and language

Research on the brain basis of speech and language faces theoretical and empirical challenges. Most current research, dominated by imaging, deficit-lesion, and electrophysiological techniques, seeks to identify regions that underpin aspects of language processing such as phonology, syntax, or semantics. The emphasis lies on localization and spatial characterization of function. The first part of the paper deals with a practical challenge that arises in the context of such a research programme. This maps problem concerns the extent to which spatial information and localization can satisfy the explanatory needs for perception and cognition. Several areas of investigation exemplify how the neural basis of speech and language is discussed in those terms (regions, streams, hemispheres, networks). The second part of the paper turns to a more troublesome challenge, namely how to formulate the formal links between neurobiology and cognition. This principled problem thus addresses the relation between the primitives of cognition (here speech, language) and neurobiology. Dealing with this mapping problem invites the development of linking hypotheses between the domains. The cognitive sciences provide granular, theoretically motivated claims about the structure of various domains (the "cognome"); neurobiology, similarly, provides a list of the available neural structures. However, explanatory connections will require crafting of computationally explicit linking hypotheses at the right level of abstraction. For both the practical maps problem and the principled mapping problem, developmental approaches and evidence can play a central role in the resolution.