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Brain-Inspired Computing : International Workshop, BrainComp 2013, Cetraro, Italy, July 8-11, 2013, Revised Selected Papers

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Cover of 'Brain-Inspired Computing : International Workshop, BrainComp 2013, Cetraro, Italy, July 8-11, 2013, Revised Selected Papers'

Table of Contents

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    Book Overview
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    Chapter 1 Towards a Multiscale, High-Resolution Model of the Human Brain
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    Chapter 2 From RNA Replicators to Genes to Survival Machines with Brains
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    Chapter 3 Integrating Brain Structure and Dynamics on Supercomputers
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    Chapter 4 A Geometric Model for the Functional Circuits of the Visual Front-End
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    Chapter 5 Models of the Visual Cortex for Object Representation: Learning and Wired Approaches
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    Chapter 6 A Generic Model of Visual Selective Attention
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    Chapter 7 COSFIRE: A Brain-Inspired Approach to Visual Pattern Recognition
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    Chapter 8 Toward the Development of Cognitive Robots
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    Chapter 9 Brain-Inspired Computing
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    Chapter 10 Bayes Optimality of Human Perception, Action and Learning: Behavioural and Neural Evidence
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    Chapter 11 Merging Attention and Segmentation: Active Foveal Image Representation
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    Chapter 12 Performance Analysis and Parallelization Strategies in Neuron Simulation Codes
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    Chapter 13 Towards Brain-Inspired System Architectures
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    Chapter 14 Towards an Explorative Visual Analysis of Cortical Neuronal Network Simulations
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    Chapter 15 Visualization of Large-Scale Neural Simulations
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    Chapter 16 Supercomputing Infrastructure for Simulations of the Human Brain
Attention for Chapter 5: Models of the Visual Cortex for Object Representation: Learning and Wired Approaches
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Citations

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Chapter title
Models of the Visual Cortex for Object Representation: Learning and Wired Approaches
Chapter number 5
Book title
Brain-Inspired Computing
Published by
Springer, Cham, July 2013
DOI 10.1007/978-3-319-12084-3_5
Book ISBNs
978-3-31-912083-6, 978-3-31-912084-3
Authors

Antonio J. Rodríguez-Sánchez, Justus Piater

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 67%
Student > Ph. D. Student 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Engineering 1 33%

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