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Introducing computation to neuroscie...

Aertsen, Ad.

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Introducing computation to neuroscience = selected papers of George Gerstein /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Introducing computation to neuroscience/ edited by Ad Aertsen ... [et al.].
其他題名:	selected papers of George Gerstein /
其他作者:	Aertsen, Ad.
出版者:	Cham :Springer International Publishing : : 2023.,
面頁冊數:	xiii, 548 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Computational neuroscience. -
電子資源:	https://doi.org/10.1007/978-3-030-87447-6
ISBN:	9783030874476

Introducing computation to neuroscience = selected papers of George Gerstein /
Introducing computation to neuroscienceselected papers of George Gerstein /[electronic resource] :edited by Ad Aertsen ... [et al.]. - Cham :Springer International Publishing :2023. - xiii, 548 p. :ill. (some col.), digital ;24 cm. - Springer series in computational neuroscience,2197-1919. - Springer series in computational neuroscience..

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.

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.

ISBN: 9783030874476

Standard No.: 10.1007/978-3-030-87447-6doiSubjects--Topical Terms:

610819
Computational neuroscience.

LC Class. No.: QP357.5

Dewey Class. No.: 612.8233

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520 $a 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.
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