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20 Years of Computational Neuroscience

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Cover of '20 Years of Computational Neuroscience'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: Origins and History of the CNS Meetings
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    Chapter 2 A Pictorial History of the Early Days of Computational Neuroscience: The CNS Meeting Posters
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    Chapter 3 History of Neural Simulation Software
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    Chapter 4 Learning from the Past: Approaches for Reproducibility in Computational Neuroscience
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    Chapter 5 The Emergence of Community Models in Computational Neuroscience: The 40-Year History of the Cerebellar Purkinje Cell
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    Chapter 6 Calcium: The Answer to Life, the Universe, and Everything
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    Chapter 7 The More We Look, the More Biological Variation We See: How Has and Should This Influence Modeling of Small Networks?
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    Chapter 8 20 Years of “Noise”: Contributions of Computational Neuroscience to the Exploration of the Effect of Background Activity on Central Neurons
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    Chapter 9 Still Looking for the Memories: Molecules and Synaptic Plasticity
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    Chapter 10 20 Years of the Dynamics of Memory: The Long and Winding Road Linking Cellular Mechanisms to Behavior
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    Chapter 11 Spatiotemporal Coding in the Olfactory System
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    Chapter 12 20 Years of Learning About Vision: Questions Answered, Questions Unanswered, and Questions Not Yet Asked
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    Chapter 13 Reinforcement Learning Models Then-and-Now: From Single Cells to Modern Neuroimaging
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Mentioned by

wikipedia
5 Wikipedia pages

Citations

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23 Dimensions

Readers on

mendeley
180 Mendeley
citeulike
2 CiteULike
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Title
20 Years of Computational Neuroscience
Published by
Springer New York, July 2013
DOI 10.1007/978-1-4614-1424-7
ISBNs
978-1-4614-1423-0, 978-1-4614-1424-7
Editors

Bower, James M

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 180 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 3%
United Kingdom 2 1%
Portugal 1 <1%
Germany 1 <1%
South Africa 1 <1%
China 1 <1%
Sweden 1 <1%
Spain 1 <1%
Estonia 1 <1%
Other 2 1%
Unknown 163 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 54 30%
Researcher 38 21%
Student > Master 25 14%
Student > Bachelor 16 9%
Other 6 3%
Other 26 14%
Unknown 15 8%
Readers by discipline Count As %
Neuroscience 34 19%
Agricultural and Biological Sciences 30 17%
Computer Science 26 14%
Engineering 23 13%
Physics and Astronomy 17 9%
Other 38 21%
Unknown 12 7%