Putting the computation back into computational modeling

Pharmacopsychiatry

Volumn 39, Issue SUPPL. 1, 2006, Pages

  Dayan, Peter ^a   Williams, J ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BRAIN FUNCTION; HUMAN; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NEUROSCIENCE; PRIORITY JOURNAL; SCHIZOPHRENIA; THEORY CONSTRUCTION;

BRAIN; HUMANS; MODELS, THEORETICAL; NEURONS; REPRODUCIBILITY OF RESULTS; SCHIZOPHRENIA; SCHIZOPHRENIC PSYCHOLOGY; SYNAPSES; SYSTEMS THEORY;

EID: 33644819041     PISSN: 01763679     EISSN: None     Source Type: Journal    
DOI: 10.1055/s-2006-931494     Document Type: Article

References (13)

1. Braver TS, Barch DM, Cohen JD. Cognition and control in schizophrenia: a computational model of dopamine and prefrontal function [In Process Citation]. Biol Psychiatry 1999; 46 (3): 312-328
2. Carlson JM, Doyle J. Complexity and robustness. Proc Natl Acad Sci USA 2002; 99 Suppl 1: 2538-2545
3. Carlsson A, Waters N, Holm-Waters S, Tedroff J, Nilsson M, Carlsson ML. Interactions between monoamines, glutamate, and GABA in schizophrenia: new evidence. Annu Rev Pharmacol Toxicol 2001; 41: 237-260
4. Churchland PM. Some reductive strategies in cognitive neurobiology. Mind 1986; 95: 279-309
5. Dayan P. Levels of analysis in neural modeling. Encyclopedia of Cognitive Science MacMillan Press, London: 2001
6. Gould SJ, Lewontin RC. The spandrels of San Marco and the Panglossian paradigm: a critique of the adaptationist programme. Proc R Soc Lond B Biol Sci 1979; 205 (1161): 581-598
7. Hodgkin AL, Huxley AF. A quantitative description of membrane current and its application to conduction and excitation in nerve. J Physiol 1952; 117 (4): 500-544
8. Hoffman RE, McGlashan TH. Neural network models of schizophrenia. Neuroscientist 2001; 7 (5): 441-454
9. Marr D. Approaches to biological information processing. Science 1975; 190: 875-876
10. Schultz W, Dayan P, Montague PR. A neural substrate of prediction and reward. Science 1997; 275 (5306): 1593-1599
11. Sutton RS, Barto AG. Reinforcement Learning. MIT Press, Cambridge, MA: 1998
12. Tretter F. Perspectives of mathematical systems theory in biological psychiatry. Krankenhauspsychiatrie 2004; 15: 77-84
13. Williams J, Dayan P. Dopamine, Learning and Impulsivity: A biological account of Attention-Deficit/Hyperactivity Disorder. J Child Adolesc Psychopharmacol, 2005