Introducing Computation to Neuroscience: Selected Papers of George Gerstein

Author:   Ad Aertsen ,  Sonja Grün ,  Pedro E. Maldonado ,  Günther Palm
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2023
ISBN:  

9783030874469


Pages:   548
Publication Date:   11 November 2022
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Introducing Computation to Neuroscience: Selected Papers of George Gerstein


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Overview

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.

Full Product Details

Author:   Ad Aertsen ,  Sonja Grün ,  Pedro E. Maldonado ,  Günther Palm
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2023
Weight:   1.004kg
ISBN:  

9783030874469


ISBN 10:   303087446
Pages:   548
Publication Date:   11 November 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Preface 1. Integrate and fire: RC circuits to model neurons and reward monkeys 2. Neuronal spike trains, stochastic point processes, and why George Gerstein’s papers are still worth reading 3. Visual Functions of Inferior Temporal Cortex 4. Early Days in the Gerstein Lab: Neuronal Plasticity in 1, 2, and 3 Dimensions 5. Patterns in Spike Trains 6. Introduction to the Gravity Papers 7. On correlations and interactions between neurons and with George Gerstein 8. Significance of Correlations between Spike Trains 9. Spatial-Temporal Spike Patterns 10. Does Cross Correlation Have a Unique Interpretation? 11. Neuronal Plasticity and my Experience Working with George L. Gerstein 12. Auditory Experiments and Modeling 13. Thinking about Analysis Methods with George in Philadelphia, Cambridge and Newcastle 14. Higher-order Correlations and Synfire Chains Nencki Award for George L. Gerstein Epilogue Publications of George L. Gerstein

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Author Information

Ad Aertsen is Professor of Neurobiology and Biophysics, Bernstein Center Freiburg, University of Freiburg Sonja Grün is Professor for Theoretical Systems Neurobiology, RWTH Aachen UniversityPedro E. Maldonado is Professor of Neuroscience, University of Chile Günther Palm is Professor, Institute for Neural Information Processing, Ulm University     

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