Closed loop neuroscience

Content: 
Front Matter,Copyright,Dedication,List of Contributors,Foreword and Introduction,AcknowledgmentsEntitled to full textPart I: Theoretical AxisChapter 1 - Adaptive Bayesian Methods for Closed-Loop Neurophysiology, Pages 3-18
Chapter 2 - Information Geometric Analysis of Neurophysiological Data, Pages 19-34
Chapter 3 - Control Theory for Closed-Loop Neurophysiology, Pages 35-52
Chapter 4 - Testing the Theory of Practopoiesis Using Closed Loops, Pages 53-65
Chapter 5 - Local Field Potential Analysis for Closed-Loop Neuromodulation, Pages 67-80
Chapter 6 - Online Event Detection Requirements in Closed-Loop Neuroscience, Pages 81-91
Chapter 7 - Closing Dewey\'s Circuit, Pages 93-100
Chapter 8 - Stochastic Optimal Control of Spike Times in Single Neurons, Pages 101-111
Chapter 9 - Hybrid Systems Neuroscience, Pages 113-129
Chapter 10 - Computational Complexity and the Function-Structure-Environment Loop of the Brain, Pages 131-144
Chapter 11 - Subjective Physics, Pages 145-169
Chapter 12 - Contextual Emergence in Neuroscience, Pages 171-184
Chapter 13 - Closed-Loop Methodologies for Cellular Electrophysiology, Pages 187-199
Chapter 14 - Bidirectional Brain–Machine Interfaces, Pages 201-212
Chapter 15 - Adaptive Brain Stimulation for Parkinson\'s Disease, Pages 213-222
Chapter 16 - Closed-Loop Neuroprosthetics☆, Pages 223-227
Chapter 17 - Closed-Loop Stimulation in Emotional Circuits for Neuro-Psychiatric Disorders, Pages 229-239
Chapter 18 - Conscious Brain-to-Brain Communication Using Noninvasive Technologies☆, Pages 241-256
Chapter 19 - Philosophical Aspects of Closed-Loop Neuroscience, Pages 259-270
Chapter 20 - Closed Loops in Neuroscience and Computation: What It Means and Why It Matters, Pages 271-277
Subject Index, Pages 279-284