Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain

Abstract

The goal of computational cognitive neuroscience is to understand how the brain embodies the mind by using biologically based computational models comprised of networks of neuronlike units. This text, based on a course taught by Randall O'Reilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in the field. The neural units in the simulations use equations based directly on the ion channels that govern the behavior of real neurons and the neural networks incorporate anatomical and physiological properties of the neocortex. Thus the text provides the student with knowledge of the basic biology of the brain as well as the computational skills needed to simulate large-scale cognitive phenomena.

Other Versions

No versions found

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 101,173

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

  • Only published works are available at libraries.

Similar books and articles

The Physiological Foresight in Freeman's Work: Predictions and Verifications.L. M. Kay - 2018 - Journal of Consciousness Studies 25 (1-2):50-63.

Analytics

Added to PP
2009-01-28

Downloads
198 (#125,193)

6 months
6 (#851,951)

Historical graph of downloads
How can I increase my downloads?