Computational Neuroscience Phd


Download Computational Neuroscience Phd PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Computational Neuroscience Phd book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.

Download

Fundamentals of Computational Neuroscience


Fundamentals of Computational Neuroscience

Author: Thomas Trappenberg

language: en

Publisher: Oxford University Press (UK)

Release Date: 2010


DOWNLOAD





The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the first edition. It introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain. The book covers the introduction and motivation of simplified models of neurons that are suitable for exploring information processing in large brain-like networks. Additionally, it introduces several fundamental networkarchitectures and discusses their relevance for information processing in the brain, giving some examples of models of higher-order cognitive functions to demonstrate the advanced insight that can begained with such studies.

Computational Neuroscience


Computational Neuroscience

Author: Hanspeter A Mallot

language: en

Publisher: Springer Science & Business Media

Release Date: 2013-05-23


DOWNLOAD





Computational Neuroscience - A First Course provides an essential introduction to computational neuroscience and equips readers with a fundamental understanding of modeling the nervous system at the membrane, cellular, and network level. The book, which grew out of a lecture series held regularly for more than ten years to graduate students in neuroscience with backgrounds in biology, psychology and medicine, takes its readers on a journey through three fundamental domains of computational neuroscience: membrane biophysics, systems theory and artificial neural networks. The required mathematical concepts are kept as intuitive and simple as possible throughout the book, making it fully accessible to readers who are less familiar with mathematics. Overall, Computational Neuroscience - A First Course represents an essential reference guide for all neuroscientists who use computational methods in their daily work, as well as for any theoretical scientist approaching the field of computational neuroscience.

Spikes


Spikes

Author: Fred Rieke

language: en

Publisher: MIT Press (MA)

Release Date: 1997


DOWNLOAD





Intended for neurobiologists with an interest in mathematical analysis of neural data as well as the growing number of physicists and mathematicians interested in information processing by "real" nervous systems, Spikes provides a self-contained review of relevant concepts in information theory and statistical decision theory.