The essence of brain function consists in how information is processed, transferred and stored. Current neurophysiological doctrine remains focused within a spike timing paradigm, but this has a limited capacity for advancing the understanding of how the brain works. This book puts forward a new model; the neuroelectrodynamic model (NED), which describes the intrinsic computational processes by the dynamics and interaction of charges. It uses established laws of physics, such as those of classical mechanics, thermodynamics and quantum physics, as the guiding principle to develop a general theoretical construct of the brains computational model, which incorporates the neurobiology of the cells and the molecular machinery itself, along with the electrical activity in neurons, to explain experimental results and predict the organization of the system. After addressing the deficiencies of current approaches, the laws and principles required to build a new model are discussed. In addition, as well as describing experiments which provide the required link between computation and semantics, the book highlights important concepts relating the theory of information with computation and the electrical properties of neurons. The NED model is explained and expounded and several examples of its application are shown. Of interest to all those involved in the fields of neuroscience, neurophysiology, computer science and the development of artificial intelligence, NED is a step forward in understanding the mind in computational terms.IOS Press is an international science, technical and medical publisher of high-quality books for academics, scientists, and professionals in all fields. Some of the areas we publish in: -Biomedicine -Oncology -Artificial intelligence -Databases and information systems -Maritime engineering -Nanotechnology -Geoengineering -All aspects of physics -E-governance -E-commerce -The knowledge economy -Urban studies -Arms control -Understanding and responding to terrorism -Medical informatics -Computer Sciences
Author(s): D. Aur and M.S. Jog
Edition: 1
Publisher: IOS Press
Year: 2010
Language: English
Pages: 252
Tags: Биологические дисциплины;Биофизика;
Title page......Page 2
Preface......Page 6
A Note on the Illustrations......Page 12
Contents......Page 14
Does neuroscience ask the right questions?......Page 18
Cognition, Computation and Dynamical Systems......Page 19
The inadequacies of temporal coding......Page 21
The cable myth......Page 22
The Hebbian approach of connectivity......Page 23
The myth of molecular biology......Page 24
Do irregular spikes convey more or less information than the regular ones?......Page 25
Are synchrony and oscillations important?......Page 26
Across-fiber pattern, grandmother cell, or labeled-line......Page 27
Brain Computations - Classical or Quantum?......Page 28
What is the role of active dendrites and metabolic subunits within the neuron from a computational perspective?......Page 29
The key of the topographic map......Page 30
Sets and functions......Page 31
Dynamical Systems......Page 32
The laws of thermodynamics......Page 34
Conclusion......Page 35
Methods, Models and Techniques......Page 42
Tetrodes......Page 44
The Model of Charges in Movement......Page 45
Charges and Electric potential......Page 47
The Projective Field: Spatial Directivity of Charges......Page 48
What is "Spike Directivity"?......Page 50
Triangulation and Independent Component Analysis Together......Page 51
From Spikes to Behavior......Page 55
Spike sorting and unit classification......Page 57
Computing and Analyzing Spike Directivity......Page 58
Upcoming Choices, Decision and Spike Directivity......Page 60
Learning: One Spike Seems Enough......Page 65
What is Computation?......Page 72
Coding and decoding......Page 73
Are Turing Machines Universal Models of Computation?......Page 74
Von Neumann Architectures......Page 76
Reversible Computation......Page 77
Models of Brain Computation......Page 80
Building the Internal Model......Page 83
Maximum Entropy Principle......Page 84
Mutual Information......Page 86
Information transfer......Page 89
Efficiency of Information Transfer......Page 90
The Nature of Things - Functional Density......Page 93
Charge Distribution and Probability Density......Page 94
The Laws of Physics......Page 96
Minimum Description Length......Page 100
Is Hypercomputation a Myth?......Page 102
Dynamics Based Computation - The Power of Charges......Page 112
Space and hidden dimensions......Page 113
Minimum Path Description - The Principle of Least Action......Page 114
Natural Computation - Abstract Physical Machines......Page 116
Back to Building Brains......Page 121
Charge Movement Model - A Computational Approach......Page 126
Properties of Computation with Charges......Page 148
Quantum Model - Combining Many Worlds......Page 154
Many Worlds in a Single Spike......Page 155
Spike Models - A Quantum Formalism......Page 156
Quantum models......Page 159
Brain the Physical Computer......Page 162
The Maxwell Daemon......Page 164
Computation in a Thermodynamic Engine......Page 165
Entropy in Neuronal Spike......Page 168
Thermodynamic Entropy and Information......Page 170
Synaptic spikes......Page 172
Spikes as Thermodynamic Engines......Page 173
How are memories stored?......Page 184
Are proteins the key?......Page 186
What sleep is for?......Page 200
Spike Timing - An Incomplete Description......Page 202
Models of Auditory Processing......Page 204
Models of Schizophrenia......Page 206
Models of Learning......Page 209
Models of Parkinson's disease and Dyskinesia......Page 212
Brain Computer Interfaces......Page 213
Moving from Spike Timing to NeuroElectroDynamics......Page 216
Computation, Cognition and Artificial intelligence......Page 225
Instead of Discussion......Page 228
