Computational Neuroscience, 22 pages without cover

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Computational Neuroscience, 22 pages...

Computational Neuroscience, 22 pages without cover

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22 page article,

Neural coding: linear models

9.29 Lecture 1

Convolution, correlation, and the Wiener-Hopf equations

9.29 Lecture 2

2 short texts describing 2 lectures on computational neuroscience

Kategorien:

Computers - Artificial Intelligence (AI)

Jahr:

1994

Verlag:

?

Sprache:

english

Seiten:

22

ISBN 10:

0262531208

ISBN 13:

9780262531207

Serien:

Computational Neuroscience

Datei:

PDF, 478 KB

IPFS:

,

english, 1994

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Churchland Patricia — On the Alleged Backwards Referral of Experiences and Its Relevance to the Mind-Body Problem

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J. Leo van Hemmen, Terrence J. Sejnowski — 23 Problems in Systems Neuroscience (Computational Neuroscience Series)

Christof Koch — Biophysics of Computation: Information Processing in Single Neurons

Carlo Laing, Gabriel J. Lord — Stochastic Methods in Neuroscience

Thomas Trappenberg — Fundamentals of Computational Neuroscience

Michael A. Arbib — Handbook of brain theory and neural networks

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Patricia A. Reuter-Lorenz, Kathleen Baynes, George R. Mangun, Elizabeth A. Phelps — The Cognitive Neuroscience of Mind: A Tribute to Michael S. Gazzaniga

Dana H. Ballard — Brain Computation as Hierarchical Abstraction

Paul M. Churchland, Patricia Smith Churchland — On the Contrary: Critical Essays, 1987-1997

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Michael A. Arbib, James J. Bonaiuto — From Neuron to Cognition via Computational Neuroscience

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Terrence J. Sejnowski — The Deep Learning Revolution: Machine Intelligence Meets Human Intelligence

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