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Titlebook: Introducing Computation to Neuroscience; Selected Papers of G Ad Aertsen,Sonja Grün,Günther Palm Book 2023 The Editor(s) (if applicable) an

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书目名称Introducing Computation to Neuroscience
副标题Selected Papers of G
编辑Ad Aertsen,Sonja Grün,Günther Palm
视频video
概述Traces the development of computational neuroscience.Provides a fresh introduction to core neuroscience concepts through an exploration of their origins.Highlights George Gerstein’s innovative computa
丛书名称Springer Series in Computational Neuroscience
图书封面Titlebook: Introducing Computation to Neuroscience; Selected Papers of G Ad Aertsen,Sonja Grün,Günther Palm Book 2023 The Editor(s) (if applicable) an
描述This book brings together a selection of papers by George Gerstein, representing his long-term endeavor of making neuroscience into a more rigorous science inspired by physics, where he had his roots. Professor Gerstein was many years ahead of the field, consistently striving for quantitative analyses, mechanistic models, and conceptual clarity.  In doing so, he pioneered Computational Neuroscience, many years before the term itself was born.  The overarching goal of George Gerstein’s research was to understand the functional organization of neuronal networks in the brain. The editors of this book have compiled a selection of George Gerstein’s many seminal contributions to neuroscience--be they experimental, theoretical or computational--into a single, comprehensive volume .The aim is to provide readers with a fresh introduction of these various concepts in the original literature.  The volume is organized  in a series of chapters by subject, ordered in time, each one containing one or more of George Gerstein’s papers..
出版日期Book 2023
关键词computational neuroscience; neuroscience methods; neuronal networks; neuronal network modeling; cross co
版次1
doihttps://doi.org/10.1007/978-3-030-87447-6
isbn_softcover978-3-030-87449-0
isbn_ebook978-3-030-87447-6Series ISSN 2197-1900 Series E-ISSN 2197-1919
issn_series 2197-1900
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Stefan Rottermerhaven Vorwort zur 3. Auflage Die überarbeitete 3. Auflage wurde durch ein zusätzliches Kapitel ergänzt, um dem Leser eine Vertiefung des Stoffes durch Verständnisfragen sowie durch ein erweitertes, umfang­ reiches übungsangebot zu ermöglichen. Bremerhaven, im Mai 1989 Klaus Fuest Einführung Alle
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Eberhard Fetzen nicht gegeben, denn Berech­ nung und Konstruktion können nur durch praktische Erfahrung erlernt werden. Der Stoffumfang ist abgestimmt auf das Niveau von Fach- und Fachhochschulen. Er soll dem Studierenden der Elektrotechnik oder des Maschinenbaus ein Wissen darüber ver­ mitteln, was in den Masch
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Leaky Integrate and Fire Neurons,h noise input as one of the first stochastic models of a neuron’s spiking activity. In addition, he refers to a class of random walk models with absorbing barrier, introduced by Gerstein and Mandelbrot, as another early influential model of neuron’s spiking activity. As an aside, he describes how he
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Neuronal Spike Trains and Stochastic Point Processes,ss theory (e.g., interspike interval histogram, serial correlation, Peri-Stimulus Time Histogram (PSTH), auto- and cross-correlation) to the analysis of neuronal spike train data, both from single- and dual-neuron recordings.
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