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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
Attention for Chapter 11: Spatiotemporal Coding in the Olfactory System
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Chapter title
Spatiotemporal Coding in the Olfactory System
Chapter number 11
Book title
20 Years of Computational Neuroscience
Published by
Springer, New York, NY, January 2013
DOI 10.1007/978-1-4614-1424-7_11
Book ISBNs
978-1-4614-1423-0, 978-1-4614-1424-7
Authors

Christiane Linster, Thomas A. Cleland, Linster, Christiane, Cleland, Thomas A.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 50%
Researcher 1 25%
Other 1 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 25%
Psychology 1 25%
Social Sciences 1 25%
Unknown 1 25%