Brain Structure, Learning, And Memory

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A01=Joel Lance Davis
Attentional Subsystem
Author_Joel Lance Davis
Backward Pairing
Brain
Category=JHB
Classical Conditioning
Climbing Fiber
cortical network modeling
CS
Dg Method
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experimental learning mechanisms
Eyelid Response
Field CA1
Input Pattern
Instrumental Conditioning
Interpositus Nucleus
Knowledge Acquisition
Learning ? Physiological aspects
Long Term Memory Traces
Memory ? Physiological aspects
memory trace localization
Mixed Templates
Monocular Deprivation
neural coding
Neurophysiology
NMDA Receptor Activation
Ocular Dominance
Orienting Subsystem
Post-synaptic Potentials
SDEs
Sensory Neuron
Siphon Withdrawal Reflex
somatosensory processing
Spike Trains
STM Activity
stochastic neural models
Synaptic Input
synaptic plasticity

Product details

  • ISBN 9780367014681
  • Weight: 750g
  • Dimensions: 152 x 223mm
  • Publication Date: 13 Sep 2019
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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In science, a few areas particularly capture the imagination because of a combination of excitement, substantial technical progress, and implicit significance in affecting the nature and quality of life. Perhaps no area of science exhibits these characteristics more abundantly than that dealing with the brain. Once shrouded in the mystical, studies in modem brain science are dramatically enhancing our understanding of brain function and its impact on learning and memory. It is perhaps the union of pragmatic and mystical aspects that makes this such an exciting arena of science. The Office of Naval Research (ONR) began an intensive effort in 1983 on the topic of the neural basis for learning and memory. This effort was aimed at providing the scientific understanding of how learning takes place. It is the expectation that a neurological understanding of learning processes will lead to the formulation of learning strategies that will significantly enhance performance. This is important in a civilian and military population faced with serious manpower problems requiring a few individuals to be more expert with technologically intensive systems. With these motivations in mind, two of us (EJW and RN) formulated a full-day symposium at the AAAS annual meeting held in New York, May 1984.

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