Open access peer-reviewed Edited volume

Cognitive and Computational Neuroscience

Principles, Algorithms and Applications

The book "Cognitive and Computational Neuroscience - Principles, Algorithms and Applications" will answer the following question and statements: System-level neural modeling: what and why? We know a lot about the brain! Need to integrate data: molecular/cellular/system levels. Complexity: need to abstract away higher-order principles. Models are tools to develop explicit theories, constrained by multiple levels (neural and behavioral). Key: models (should) make novel testable predictions on both neural and behavioral levels. Models are useful tools for guiding experiments. The hope is that the information provided in this book will trigger new researches that will help to connect basic neuroscience to clinical medicine.

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Cognitive and Computational NeurosciencePrinciples, Algorithms and ApplicationsEdited by Seyyed Abed Hosseini

Published: May 30th 2018

DOI: 10.5772/intechopen.68377

ISBN: 978-1-78923-189-2

Print ISBN: 978-1-78923-188-5

Books open for chapter submissions

252 Total Chapter Downloads

chaptersDownloads

Open access peer-reviewed

1. Introductory Chapter: Cognitive and Computational Neuroscience - Principles, Algorithms, and Applications

By Seyyed Abed Hosseini

36

Open access peer-reviewed

2. Convergence of Action, Reaction, and Perception via Neural Oscillations in Dynamic Interaction with External Surroundings

By Daya Shankar Gupta and Silmar Teixeira

38

Open access peer-reviewed

3. Cognitive and Computational Neuroscience: Principles, Algorithms, and Applications in Surveillance Context

By Lozada Torres Edwin Fabricio, Martínez Campaña Carlos Eduardo and Gómez Alvarado Héctor Fernando

42

Open access peer-reviewed

4. Spiking Central Pattern Generators through Reverse Engineering of Locomotion Patterns

By Andrés Espinal, Marco Sotelo-Figueroa, Héctor J. Estrada-García, Manuel Ornelas-Rodríguez and Horacio Rostro-Gonzalez

52

Open access peer-reviewed

5. Characterizing Motor System to Improve Training Protocols Used in Brain-Machine Interfaces Based on Motor Imagery

By Luz Maria Alonso-Valerdi and Andrés Antonio González-Garrido

39

Open access peer-reviewed

6. Computational Models of Consciousness-Emotion Interactions in Social Robotics: Conceptual Framework

By Remigiusz Szczepanowski, Małgorzata Gakis, Krzysztof Arent and Janusz Sobecki

45

Edited volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI

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