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ORCIDComputational Models for Neuroscience, 2003
- Robert Hecht-Nielsen, Thomas McKenna:
Computational Models for Neuroscience - Human Cortical Information Processing. Springer 2003, ISBN 978-1-85233-593-9 - Larry Cauller:
The Neurointeractive Paradigm: Dynamical Mechanics and the Emergence of Higher Cortical Function. 1-23 - Oleg V. Favorov, Joseph T. Hester, Douglas G. Kelly, Dan Ryder, Mark Tommerdahl:
The Cortical Pyramidal Cell as a Set of Interacting Error Backpropagating Dendrites: Mechanism for Discovering Nature's Order. 25-64 - Walter J. Freeman:
Performance of Intelligent Systems Governed by Internally Generated Goals. 65-84 - Robert Hecht-Nielsen:
A Theory of Thalamocortex. 85-124 - Henry Markram:
Elementary Principles of Nonlinear Synaptic Transmission. 125-169 - Thomas McKenna:
The Development of Cortical Models to Enable Neural-based Cognitive Architectures. 171-204 - Jeffrey P. Sutton, Gary Strangman:
The Behaving Human Neocortex as a Dynamic Network of Networks. 205-219 - John G. Taylor:
Towards Global Principles of Brain Processing. 221-243 - Neill R. Taylor, John G. Taylor:
The Neural Networks for Language in the Brain: Creating LAD. 245-265 - Richard S. Zemel:
Cortical Belief Networks. 267-287
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