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- Mathematics for Neuroscientists

- Author : Fabrizio Gabbiani
- Publsiher : Academic Press
- Release : 21 March 2017
- ISBN : 0128019069
- Pages : 628 pages
- Rating : 4/5 from 21 reviews

GET THIS BOOKMathematics for Neuroscientists

Read or download book entitled Mathematics for Neuroscientists written by Fabrizio Gabbiani which was release on 21 March 2017, this book published by Academic Press. Available in PDF, EPUB and Kindle Format. Book excerpt: Mathematics for Neuroscientists, Second Edition, presents a comprehensive introduction to mathematical and computational methods used in neuroscience to describe and model neural components of the brain from ion channels to single neurons, neural networks and their relation to behavior. The book contains more than 200 figures generated using Matlab code available to the student and scholar. Mathematical concepts are introduced hand in hand with neuroscience, emphasizing the connection between experimental results and theory. Fully revised material and corrected text Additional chapters on extracellular potentials, motion detection and neurovascular coupling Revised selection of exercises with solutions More than 200 Matlab scripts reproducing the figures as well as a selection of equivalent Python scripts

- Author : Fabrizio Gabbiani,Steven James Cox
- Publisher : Academic Press
- Release Date : 2017-03-21
- Total pages : 628
- ISBN : 0128019069

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**Summary :** Mathematics for Neuroscientists, Second Edition, presents a comprehensive introduction to mathematical and computational methods used in neuroscience to describe and model neural components of the brain from ion channels to single neurons, neural networks and their relation to behavior. The book contains more than 200 figures generated using Matlab code available ...

- Author : Fabrizio Gabbiani,Steven James Cox
- Publisher : Academic Press
- Release Date : 2010-09-16
- Total pages : 498
- ISBN : 0128019069

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**Summary :** Virtually all scientific problems in neuroscience require mathematical analysis, and all neuroscientists are increasingly required to have a significant understanding of mathematical methods. There is currently no comprehensive, integrated introductory book on the use of mathematics in neuroscience; existing books either concentrate solely on theoretical modeling or discuss mathematical concepts ...

- Author : Stanislaw Brzychczy,Roman R. Poznanski
- Publisher : Academic Press
- Release Date : 2013-08-16
- Total pages : 208
- ISBN : 0128019069

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**Summary :** Mathematical Neuroscience is a book for mathematical biologists seeking to discover the complexities of brain dynamics in an integrative way. It is the first research monograph devoted exclusively to the theory and methods of nonlinear analysis of infinite systems based on functional analysis techniques arising in modern mathematics. Neural models ...

- Author : G. Bard Ermentrout,David H. Terman
- Publisher : Springer Science & Business Media
- Release Date : 2010-07-01
- Total pages : 422
- ISBN : 0128019069

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**Summary :** This book applies methods from nonlinear dynamics to problems in neuroscience. It uses modern mathematical approaches to understand patterns of neuronal activity seen in experiments and models of neuronal behavior. The intended audience is researchers interested in applying mathematics to important problems in neuroscience, and neuroscientists who would like to ...

- Author : Alwyn Scott
- Publisher : Springer Science & Business Media
- Release Date : 2007-12-14
- Total pages : 352
- ISBN : 0128019069

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**Summary :** This book will be of interest to anyone who wishes to know what role mathematics can play in attempting to comprehend the dynamics of the human brain. It also aims to serve as a general introduction to neuromathematics. The book gives the reader a qualitative understanding and working knowledge of ...

- Author : William W. Lytton
- Publisher : Springer Science & Business Media
- Release Date : 2007-05-08
- Total pages : 364
- ISBN : 0128019069

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**Summary :** Biology undergraduates, medical students and life-science graduate students often have limited mathematical skills. Similarly, physics, math and engineering students have little patience for the detailed facts that make up much of biological knowledge. Teaching computational neuroscience as an integrated discipline requires that both groups be brought forward onto common ground. ...

- Author : Giovanni Naldi,Thierry Nieus
- Publisher : Springer
- Release Date : 2018-03-21
- Total pages : 253
- ISBN : 0128019069

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**Summary :** This volume gathers contributions from theoretical, experimental and computational researchers who are working on various topics in theoretical/computational/mathematical neuroscience. The focus is on mathematical modeling, analytical and numerical topics, and statistical analysis in neuroscience with applications. The following subjects are considered: mathematical modelling in Neuroscience, analytical and numerical ...

- Author : G. Bard Ermentrout,David H. Terman
- Publisher : Unknown
- Release Date : 2010
- Total pages : 422
- ISBN : 0128019069

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**Summary :** This book applies methods from nonlinear dynamics to problems in neuroscience. It uses modern mathematical approaches to understand patterns of neuronal activity seen in experiments and models of neuronal behavior. The intended audience is researchers interested in applying mathematics to important problems in neuroscience, and neuroscientists who would like to ...

- Author : Eugene M. Izhikevich
- Publisher : MIT Press
- Release Date : 2007
- Total pages : 441
- ISBN : 0128019069

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**Summary :** In order to model neuronal behavior or to interpret the results of modeling studies, neuroscientists must call upon methods of nonlinear dynamics. This book offers an introduction to nonlinear dynamical systems theory for researchers and graduate students in neuroscience. It also provides an overview of neuroscience for mathematicians who want ...

- Author : David Sulzer
- Publisher : Columbia University Press
- Release Date : 2021-04-27
- Total pages : 212
- ISBN : 0128019069

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**Summary :** Why does a clarinet play at lower pitches than a flute? What does it mean for sounds to be in or out of tune? How are emotions carried by music? Do other animals perceive sound like we do? How might a musician use math to come up with new ideas? ...

- Author : Fernando Corinto,Alessandro Torcini
- Publisher : Springer
- Release Date : 2018-07-22
- Total pages : 141
- ISBN : 0128019069

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**Summary :** This book provides an essential overview of computational neuroscience. It addresses a broad range of aspects, from physiology to nonlinear dynamical approaches to understanding neural computation, and from the simulation of brain circuits to the development of engineering devices and platforms for neuromorphic computation. Written by leading experts in such ...

- Author : Wanpracha Chaovalitwongse,Panos M. Pardalos,Petros Xanthopoulos
- Publisher : Springer Science & Business Media
- Release Date : 2010-07-03
- Total pages : 396
- ISBN : 0128019069

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**Summary :** This volume includes contributions from diverse disciplines including electrical engineering, biomedical engineering, industrial engineering, and medicine, bridging a vital gap between the mathematical sciences and neuroscience research. Covering a wide range of research topics, this volume demonstrates how various methods from data mining, signal processing, optimization and cutting-edge medical techniques ...

- Author : Hanspeter A Mallot
- Publisher : Springer Science & Business Media
- Release Date : 2013-05-23
- Total pages : 135
- ISBN : 0128019069

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**Summary :** 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 ...

- Author : G. Bard Ermentrout,David H. Terman
- Publisher : Springer
- Release Date : 2010-07-08
- Total pages : 422
- ISBN : 0128019069

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**Summary :** Arising from several courses taught by the authors, this book provides a needed overview illustrating how dynamical systems and computational analysis have been used in understanding the types of models that come out of neuroscience....

- Author : Grace Lindsay
- Publisher : Bloomsbury Publishing
- Release Date : 2021-03-04
- Total pages : 320
- ISBN : 0128019069

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**Summary :** The brain is made up of 85 billion neurons, which are connected by over 100 trillion synapses. For more than a century, a diverse array of researchers has been trying to find a language that can be used to capture the essence of what these neurons do and how they communicate – and ...