Aur D., Jog M.S. Neuroelectrodynamics: Understanding the Brain Language

N.-Y.: IOS Press, 2010. - 252 p.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 SciencesDoes neuroscience ask the right questions?
Cognition, Computation and Dynamical Systems
The inadequacies of temporal coding
The cable myth
The Hebbian approach of connectivity
The myth of molecular biology
Do irregular spikes convey more or less information than the regular ones?
Are synchrony and oscillations important?
Across-fiber pattern, grandmother cell, or labeled-line
Brain Computations - Classical or Quantum?
What is the role of active dendrites and metabolic subunits within the neuron from a computational perspective?
The key of the topographic map
Sets and functions
Dynamical Systems
The laws of thermodynamicsMethods, Models and Techniques
Tetrodes
The Model of Charges in Movement
Charges and Electric potential
The Projective Field: Spatial Directivity of Charges
What is "Spike Directivity"?
Triangulation and Independent Component Analysis Together
From Spikes to Behavior
Spike sorting and unit classification
Computing and Analyzing Spike Directivity
Upcoming Choices, Decision and Spike Directivity
Learning: One Spike Seems Enough
What is Computation?
Coding and decoding
Are Turing Machines Universal Models of Computation?
Von Neumann Architectures
Reversible Computation
Models of Brain Computation
Building the Internal Model
Maximum Entropy Principle
Mutual Information
Information transfer
Efficiency of Information Transfer
The Nature of Things - Functional Density
Charge Distribution and Probability Density
The Laws of Physics
Minimum Description Length
Is Hypercomputation a Myth?
Dynamics Based Computation - The Power of Charges
Space and hidden dimensions
Minimum Path Description - The Principle of Least Action
Natural Computation - Abstract Physical Machines
Back to Building Brains
Charge Movement Model - A Computational Approach
Properties of Computation with Charges
Quantum Model - Combining Many Worlds
Many Worlds in a Single Spike
Spike Models - A Quantum Formalism
Quantum models
Brain the Physical Computer
The Maxwell Daemon
Computation in a Thermodynamic Engine
Entropy in Neuronal Spike
Thermodynamic Entropy and Information
Synaptic spikes
Spikes as Thermodynamic Engines
How are memories stored?
Are proteins the key?
What sleep is for?
Spike Timing - An Incomplete Description
Models of Auditory Processing
Models of Schizophrenia
Models of Learning
Models of Parkinson's disease and Dyskinesia
Brain Computer Interfaces
Moving from Spike Timing to NeuroElectroDynamics
Computation, Cognition and Artificial intelligence
Instead of Discussion