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Statistical Signal Processing for Neuroscience and Neurotechnology

Karim G. Oweiss

 

Verlag Elsevier Reference Monographs, 2010

ISBN 9780080962962 , 441 Seiten

Format PDF, ePUB, OL

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Front cover

1

Statistical Signal Processing for Neuroscience and Neurotechnology

4

Copyright page

5

Table of contents

6

Preface??????????????????????????????????????????????????????????????????????????

12

About the Editor

14

About the Contributors

16

Chapter 1. Introduction??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

24

1.1 Background????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

24

1.2 Motivation????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

26

1.3 Overview and Roadmap

28

References????????????????????????????????????????????????????????????????????????????????????????????

35

Chapter 2. Detection and Classification of Extracellular Action Potential Recordings

38

2.1 Introduction????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

38

2.2 Spike Detection??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

39

2.3 Spike Sorting??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

55

2.4 Practical Implementation????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

81

2.5 Discussion and Future Directions

88

Acknowledgment????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

92

References????????????????????????????????????????????????????????????????????????????????????????????

92

Chapter 3. Information-Theoretic Analysis of Neural Data

98

3.1 Introduction????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

98

3.2 The Encoder??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

100

3.3 The Channel??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

106

3.4 Rate-Distortion Theory

113

3.5 Post–Shannon Information Theory

117

3.6 Discussion????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

122

References????????????????????????????????????????????????????????????????????????????????????????????

123

Chapter 4. Identification of Nonlinear Dynamics in Neural Population Activity

126

4.1 Introduction????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

126

4.2 Problem Statement??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

127

4.3 Nonlinear Model of Neural Population Dynamics

128

4.4 Results: Application to Hippocampal CA3-CA1 Population Activity

138

4.5 Discussion????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

144

4.6 Future Directions??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

148

Acknowledgments??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

149

References????????????????????????????????????????????????????????????????????????????????????????????

149

Chapter 5. Graphical Models of Functional and Effective Neuronal Connectivity

152

5.1 Introduction????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

152

5.2 Background and Overview

154

5.3 Graphical Models????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

161

5.4 Results??????????????????????????????????????????????????????????????????????????????????????????????????

169

5.5 Discussion and Future Directions

187

Acknowledgments??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

189

References????????????????????????????????????????????????????????????????????????????????????????????

190

Chapter 6. State Space Modeling of Neural Spike Train and Behavioral Data

198

6.1 Introduction????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

198

6.2 State Space Modeling Paradigm??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

200

6.3 Applications of the State Space Paradigm in Neuroscience Data Analysis

203

6.4 Discussion????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

234

Acknowledgments??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

236

References????????????????????????????????????????????????????????????????????????????????????????????

236

Chapter 7. Neural Decoding for Motor and Communication Prostheses

242

7.1 Introduction????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

242

7.2 Plan and Movement Neural Activity

245

7.3 Continuous Decoding for Motor Prostheses

248

7.4 Discrete Decoding for Communication Prostheses

263

7.5 Discussion????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

275

7.6 Future Directions??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

278

Acknowledgments??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

280

References????????????????????????????????????????????????????????????????????????????????????????????

281

Chapter 8. Inner Products for Representation and Learning in the Spike Train Domain

288

8.1 Introduction????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

288

8.2 Functional Representations of Spike Trains

291

8.3 Inner Products for Spike Trains

297

8.4 Applications????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

308

8.5 Discussion????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

323

Appendix A Higher-Order Spike Interactions through Nonlinearity

324

Appendix B Proofs??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

325

Appendix C Brief Introduction to RKHS Theory

327

Acknowledgments??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

328

References????????????????????????????????????????????????????????????????????????????????????????????

328

Chapter 9. Signal Processing and Machine Learning for Single-Trial Analysis of Simultaneously Acquired EEG and fMRI

334

9.1 Introduction????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

334

9.2 Hardware Design and Setup: Challenges in EEG/fMRI Acquisition

336

9.3 Signal Processing and Removal of BCG Artifacts

340

9.4 Linking Single-Trial Variations of Task-Relevant EEG Components to the Bold Signal

346

9.5 Results??????????????????????????????????????????????????????????????????????????????????????????????????

350

9.6 Future Directions??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

353

Acknowledgments??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

354

References????????????????????????????????????????????????????????????????????????????????????????????

354

Chapter 10. Statistical Pattern Recognition and Machine Learning in Brain–Computer Interfaces

358

10.1 Introduction??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

358

10.2 Signal Processing and Pattern Recognition in BCI Systems

360

10.3 Applications??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

373

10.4 Discussion??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

381

Acknowledgments??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

382

References????????????????????????????????????????????????????????????????????????????????????????????

383

Chapter 11. Prediction of Muscle Activity from Cortical Signals to Restore Hand Grasp in Subjects with Spinal Cord Injury

392

11.1 Introduction??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

392

11.2 Background??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

394

11.3 Methods????????????????????????????????????????????????????????????????????????????????????????????????????????

400

11.4 Results????????????????????????????????????????????????????????????????????????????????????????????????????????

407

11.5 Discussion??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

417

11.6 Future Directions????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

422

Acknowledgments??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

424

References????????????????????????????????????????????????????????????????????????????????????????????

424

Index??????????????????????????????????????????????????????????????

430