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Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields (Studies in Systems, Decision and Control)

Robert Kozma, Walter J. Freeman




[PDF.hx46] Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields (Studies in Systems, Decision and Control)

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 | #3820664 in Books |  Robert Kozma Walter J Freeman |  2015-11-03 | Original language:English | PDF # 1 |  9.36 x.58 x6.10l,.0 | File type: PDF | 262 pages

 | Cognitive Phase Transitions in the Cerebral Cortex Enhancing the Neuron Doctrine by Modeling Neural Fields Studies in Systems Decision and Control

||4 of 4 people found the following review helpful.| Would-be Mind-builders and A.I. hobbyists should read this book.|By GIDMEISTER|Kozma and Freeman were pioneers in finding chaotic attractors in the olfactory system, and they pursued research for years afterwards. This book is an overview of what they learned. They also talk about K-sets, which was inspired by their work - a hierarchy of interacting inhibitory and excitatory|From the Back Cover||This intriguing book was born out of the many discussions the authors had in the past 10 years about the role of scale-free structure and dynamics in producing intelligent behavior in brains.| The microscopic dynamics of neural networks is w

This intriguing book was born out of the many discussions the authors had in the past 10 years about the role of scale-free structure and dynamics in producing intelligent behavior in brains.
The microscopic dynamics of neural networks is well described by the prevailing paradigm based in a narrow interpretation of the neuron doctrine. This book broadens the doctrine by incorporating the dynamics of neural fields, as first revealed by modeling with differential eq...

You easily download any file type for your device.Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields (Studies in Systems, Decision and Control)   |  Robert Kozma, Walter J. Freeman. Just read it with an open mind because none of us really know.

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