Subcritical Brain, The: A Synergy Of Segregated Neural Circuits In Memory, Cognition And Sensorimotor Control

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A01=Yoram Baram
Age Group_Uncategorized
Age Group_Uncategorized
Aging
Associative Memory
Author_Yoram Baram
automatic-update
Autonomous Gait Entrainment
Category1=Non-Fiction
Category=UYQN
Circuit Polarity Code
Cognition
COP=Singapore
Cortical Linguistics
Cortical Mathematics
Cortical Plasticity
Cortical Polarity
Cortical Recordings
Critical Connectivity
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Dynamic Irreversibility
Early Development
eq_bestseller
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Firing-Rate Dynamics
Gait Improvement
Global Dynamic Attractors
Information Capacity
Language_English
Learning
Linguistic Limit
Magical Numbers
Maturity
Memory
Memory Modification
Metaperiodic Circuit Interaction
Metaplasticity
Musical Perception
Natural Movement
Neural Circuit Categories
Neural Circuit Trees
Neurological Movement Impairment
PA=Available
Price_€50 to €100
Prime Numbers
PS=Active
Quantum Computation
Quantum Set Intersection
Random Graphs
Reward-Seeking Behaviour
Segregated Neural Circuits
Sensorimotor Control
Short and Long-Term Memory
softlaunch
Working Memory

Product details

  • ISBN 9789811233098
  • Publication Date: 28 May 2021
  • Publisher: World Scientific Publishing Co Pte Ltd
  • Publication City/Country: SG
  • Product Form: Hardback
  • Language: English
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Have over a hundred years of brain research revealed all its secrets? This book is motivated by a realization that cortical structure and behavior can be explained by a synergy of seemingly different mathematical notions: global attractors, which define non-invertible neural firing rate dynamics, random graphs, which define connectivity of neural circuit, and prime numbers, which define the dimension and category of cortical operation. Quantum computation is shown to ratify the main conclusion of the book: loosely connected small neural circuits facilitate higher information storage and processing capacities than highly connected large circuits. While these essentially separate mathematical notions have not been commonly involved in the evolution of neuroscience, they are shown in this book to be strongly inter-related in the cortical arena. Furthermore, neurophysiological experiments, as well as observations of natural behavior and evidence found in medical testing of neurologically impaired patients, are shown to support, and to be supported by the mathematical findings.Related Link(s)

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