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Chen, Zhe

Dynamic Neuroscience

Chen, Zhe - Dynamic Neuroscience, ebook

199,90€

Ebook, PDF with Adobe DRM
ISBN: 9783319719764
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Table of contents

1. Introduction
Zhe Chen, Sridevi V. Sarma

Part I. Statistics & Signal Processing

2. Characterizing Complex, Multi-Scale Neural Phenomena Using State-Space Models
Uri T. Eden, Loren M. Frank, Long Tao

3. Latent Variable Modeling of Neural Population Dynamics
Zhe Chen

4. What Can Trial-to-Trial Variability Tell Us? A Distribution-Based Approach to Spike Train Decoding in the Rat Hippocampus and Entorhinal Cortex
Michael J. Prerau, Uri T. Eden

5. Sparsity Meets Dynamics: Robust Solutions to Neuronal Identification and Inverse Problems
Behtash Babadi

6. Artifact Rejection for Concurrent TMS-EEG Data
Wei Wu, Corey Keller, Amit Etkin

Part II. Modeling and Control Theory

7. Characterizing Complex Human Behaviors and Neural Responses Using Dynamic Models
Sridevi V. Sarma, Pierre Sacré

8. Brain–Machine Interfaces
Maryam M. Shanechi

9. Control-Theoretic Approaches for Modeling, Analyzing, and Manipulating Neuronal (In)activity
ShiNung Ching

10. From Physiological Signals to Pulsatile Dynamics: A Sparse System Identification Approach
Rose T. Faghih

11. Neural Engine Hypothesis
Hideaki Shimazaki

12. Inferring Neuronal Network Mechanisms Underlying Anesthesia-Induced Oscillations Using Mathematical Models
Sujith Vijayan, Michelle McCarthy

Keywords: Engineering, Biomedical Engineering, Signal, Image and Speech Processing, Computational Biology/Bioinformatics, Neurosciences, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Mathematical Models of Cognitive Processes and Neural Networks

Editor
 
Publisher
Springer
Publication year
2018
Language
en
Edition
1
Page amount
21 pages
Category
Technology, Energy, Traffic
Format
Ebook
eISBN (PDF)
9783319719764
Printed ISBN
978-3-319-71975-7

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