Evolving structure-function mappings in cognitive neuroscience using genetic programming
Created by W.Langdon from
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- @Article{Gobet:2005:SJP,
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author = "Fernand Gobet and Amanda Parker",
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title = "Evolving structure-function mappings in cognitive
neuroscience using genetic programming",
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journal = "Swiss Journal of Psychology",
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year = "2005",
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volume = "64",
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number = "4",
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pages = "231--239",
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month = dec,
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keywords = "genetic algorithms, genetic programming, Complex
systems, evolutionary computation, prefrontal cortex,
scientific discovery, structure-function mapping,
theory formation",
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ISSN = "1421-0185",
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DOI = "doi:10.1024/1421-0185.64.4.231",
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abstract = "A challenging goal of psychology and neuroscience is
to map cognitive functions onto neuroanatomical
structures. This paper shows how computational methods
based upon evolutionary algorithms can facilitate the
search for satisfactory mappings by efficiently
combining constraints from neuroanatomy and physiology
(the structures) with constraints from behavioural
experiments (the functions). This methodology involves
creation of a database coding for known neuroanatomical
and physiological constraints, for mental programs made
of primitive cognitive functions, and for typical
experiments with their behavioural results. The
evolutionary algorithms evolve theories mapping
structures to functions in order to optimize the fit
with the actual data. These theories lead to new,
empirically testable predictions. The role of the
prefrontal cortex in humans is discussed as an example.
This methodology can be applied to the study of
structures or functions alone, and can also be used to
study other complex systems. (PsycINFO Database Record
(c) 2008 APA, all rights reserved)",
- }
Genetic Programming entries for
Fernand Gobet
Amanda Parker
Citations