Original Research ARTICLE
Bilinearity, rules, and prefrontal cortex
- Gatsby Computational Neuroscience Unit, UCL, UK
Humans can be instructed verbally to perform computationally complex cognitive tasks; their performance then improves relatively slowly over the course of practice. Many skills underlie these abilities; in this paper, we focus on the particular question of a uniform architecture for the instantiation of habitual performance and the storage, recall, and execution of simple rules. Our account builds on models of gated working memory, and involves a bilinear architecture for representing conditional input-output maps and for matching rules to the state of the input and working memory. We demonstrate the performance of our model on two paradigmatic tasks used to investigate prefrontal and basal ganglia function.
Keywords: habits, rules, bilinearity, working memory, prefrontal cortex, basal ganglia
Citation: Peter Dayan (2007). Bilinearity, rules, and prefrontal cortex. Front. Comput. Neurosci. 1:1. doi: 10.3389/neuro.10/001.2007
Received: 9 August 2007;
Paper pending published: 27 August 2007;
Accepted: 12 October 2007; Published online: 2 November 2007.
Edited by:Misha Tsodyks, Weizmann Institute of Science, Rehovot, Israel
Reviewed by:Stefano Fusi, Center for Theoretical Neuroscience, Columbia University, USA; Institute of Neuroinformatics, ETH Uni Zurich, Switzerland.
Florentin Woergoetter, University of Goettingen, Goettingen, Germany
Copyright: © 2007 Dayan. This is an open-access article subject to an exclusive license agreement between the authors and the Frontiers Research Foundation, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited.
*Correspondence: Peter Dayan, Gatsby Computational Neuroscience Unit, UCL, London, UK. e-mail: email@example.com