Cognitive Science should be unified: Comment on Griffiths et al. and McClelland et al.

Trends in Cognitive Sciences

Volumn 14, Issue 8, 2010, Pages 341-

  Feldman, Jerome A ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COGNITION; HUMAN; INTELLIGENCE; LANGUAGE; LETTER; SCIENCE; STATISTICAL MODEL;

BAYES THEOREM; COGNITION; COGNITIVE SCIENCE; HUMANS; MODELS, PSYCHOLOGICAL;

EID: 77955267404     PISSN: 13646613     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tics.2010.05.008     Document Type: Letter

References (10)

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2. McClelland J.L., et al. Letting structure emerge: connectionist and dynamical systems approaches to cognition. Trends Cogn. Sci. 2010, 14:348-356.
3. Newell A. Unified Theories of Cognition 1990, Harvard University Press.
4. Feldman J.A. Ecological expected utility and the mythical neural code. Cogn. Neurodyn. 2010, 4:25-35.
5. Parallel Distributed Processing: Explorations in the Microstructure of Cognition 1986, MIT Press. J.L. McClelland (Ed.).
6. Neuroeconomics: Decision Making and the Brain 2009, Academic Press. P.W. Glimcher (Ed.).
7. Dayan P., Daw N.D. Decision theory, reinforcement learning, and the brain. Cogn. Affect. Behav. Neurosci. 2008, 8:429-453.
8. Palmer S.E. Vision Science: Photons to Phenomenology 1999, MIT Press.
9. Serre T., et al. A feedforward architecture accounts for rapid categorization. Proc. Natl. Acad. Sci. U. S. A. 2007, 104:6424-6429.
10. Guyonneau R., et al. Neurons tune to the earliest spikes through STDP source. Neural Comput. 2005, 17:859-879.