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Computational Neuroscience

Overview of attention for book
Cover of 'Computational Neuroscience'

Table of Contents

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    Book Overview
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    Chapter 1 A Network of Spiking Neurons Performing a Relational Categorization Task
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    Chapter 2 Chaotic Synchronization of Neural Networks in FPGA
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    Chapter 3 Assessing the Performance of Convolutional Neural Networks on Classifying Disorders in Apple Tree Leaves
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    Chapter 4 Towards Graffiti Classification in Weakly Labeled Images Using Convolutional Neural Networks
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    Chapter 5 Computational Models for the Propagation of Spreading Depression Waves
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    Chapter 6 How Artificial Intelligence is Supporting Neuroscience Research: A Discussion About Foundations, Methods and Applications
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    Chapter 7 Investigating Crime Rate Prediction Using Street-Level Images and Siamese Convolutional Neural Networks
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    Chapter 8 Developing of a Video-Based Model for UAV Autonomous Navigation
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    Chapter 9 Cyberbullying Classification Using Extreme Learning Machine Applied to Portuguese Language
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    Chapter 10 Pseudorehearsal Approach for Incremental Learning of Deep Convolutional Neural Networks
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    Chapter 11 A Brain Computer Interface Using VEP and MMSC for Driving a Mechanical Arm
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    Chapter 12 An Adaptive User Interface Based on Psychological Test and Task-Relevance
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    Chapter 13 Decision Tree to Analyses EEG Signal: A Case Study Using Spatial Activities
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    Chapter 14 Multi-Network-Feedback-Error-Learning with Automatic Insertion: Validation to a Nonlinear System
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    Chapter 15 Planned Obsolescence Using Nanotechnology for Protection Against Artificial Intelligence
Attention for Chapter 6: How Artificial Intelligence is Supporting Neuroscience Research: A Discussion About Foundations, Methods and Applications
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Readers on

mendeley
18 Mendeley
citeulike
1 CiteULike
Summary
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Chapter title
How Artificial Intelligence is Supporting Neuroscience Research: A Discussion About Foundations, Methods and Applications
Chapter number 6
Book title
Computational Neuroscience
Published by
Springer, Cham, November 2017
DOI 10.1007/978-3-319-71011-2_6
Book ISBNs
978-3-31-971010-5, 978-3-31-971011-2
Authors

Rafael T. Gonzalez, Jaime A. Riascos, Dante A. C. Barone

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 44%
Student > Doctoral Student 2 11%
Student > Master 2 11%
Student > Bachelor 1 6%
Professor 1 6%
Other 1 6%
Unknown 3 17%
Readers by discipline Count As %
Computer Science 7 39%
Engineering 5 28%
Business, Management and Accounting 1 6%
Neuroscience 1 6%
Energy 1 6%
Other 0 0%
Unknown 3 17%

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