Statistical Signal Processing for Neuroscience and Neurotechnology Book

Contents

Preface....................xi
About the Editor....................xiii
About the Contributors....................xv
CHAPTER 1 Introduction....................1
CHAPTER 2 Detection and Classification of Extracellular Action Potential Recordings....................15
CHAPTER 3 Information-Theoretic Analysis of Neural Data....................75
CHAPTER 4 Identification of Nonlinear Dynamics in Neural Population Activity....................103
CHAPTER 5 Graphical Models of Functional and Effective Neuronal Connectivity....................129
CHAPTER 6 State Space Modeling of Neural Spike Train and Behavioral Data....................175
CHAPTER 7 Neural Decoding for Motor and Communication Prostheses....................219
CHAPTER 8 Inner Products for Representation and Learning in the Spike Train Domain....................265
CHAPTER 9 Signal Processing and Machine Learning for Single-Trial Analysis of Simultaneously Acquired EEG and fMRI....................311
CHAPTER 10 Statistical Pattern Recognition and Machine Learning in Brain-Computer Interfaces....................335
CHAPTER 11 Prediction of Muscle Activity from Cortical Signals to Restore Hand Grasp in Subjects with Spinal Cord Injury....................369
Index....................407