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Information in the Brain
  • Language: en
  • Pages: 254

Information in the Brain

  • Type: Book
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  • Published: 1994
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  • Publisher: MIT Press

Drawing on his considerable experience as a neuroscientist and clinical neurologist, Ira Black systematically disentangles the labyrinth of brain and mind in a new concept of mind that relates environment, brain genes, molecular symbols, behavior and mentation. He describes the unity of brain, mind, and experience with singular clarity, showing how mental function, brain function, and biologic information are now comprehensible in molecular terms.Writing in a clear and often conversational style, Black defines the molecular biology and biochemistry of information processing in the nervous system and describes in detail the environmental regulation of brain genes that encode molecular symbols...

Unfair to Genius
  • Language: en
  • Pages: 324

Unfair to Genius

Through author Gary Rosen's deeply researched account of Ira B. Arnstein, "the unrivaled king of copyright infringement plaintiffs," Unfair to Genius provides an unlikely history of the evolution of copyright law in the United States.

Scientific Directory and Annual Bibliography
  • Language: en
  • Pages: 1292

Scientific Directory and Annual Bibliography

  • Type: Book
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  • Published: 1965
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  • Publisher: Unknown

None

Report of the Hypertension Task Force: Scientific summary and recommendations
  • Language: en
  • Pages: 170
Minimal Rationality
  • Language: en
  • Pages: 180

Minimal Rationality

  • Type: Book
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  • Published: 1990-03-14
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  • Publisher: MIT Press

In Minimal Rationality, Christopher Cherniak boldly challenges the myth of Man the the Rational Animal and the central role that the "perfectly rational agent" has had in philosophy, psychology, and other cognitive sciences, as well as in economics. His book presents a more realistic theory based on the limits to rationality which can play a similar generative role in the human sciences, and it seeks to determine the minimal rationality an actual agent must possess.

Molecular Neurobiology
  • Language: en
  • Pages: 390

Molecular Neurobiology

  • Type: Book
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  • Published: 1989
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  • Publisher: Unknown

None

Associate Training Programs in the Medical and Biological Sciences at the National Institutes of Health
  • Language: en
  • Pages: 84
The Merging of the Senses
  • Language: en
  • Pages: 231

The Merging of the Senses

  • Type: Book
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  • Published: 1993-01-22
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  • Publisher: MIT Press

Bringing together neural, perceptual, and behavioral studies, The Merging of the Senses provides the first detailed review of how the brain assembles information from different sensory systems in order to produce a coherent view of the external world. Stein and Meredith marshall evidence from a broad array of species to show that interactions among senses are the most ancient scheme of sensory organization, an integrative system reflecting a general plan that supersedes structure and species. Most importantly, they explore what is known about the neural processes by which interactions among the senses take place at the level of the single cell.The authors draw on their own experiments to illustrate how sensory inputs converge (from visual, auditory, and somatosensory modalities, for instance) on individual neurons in different areas of the brain, how these neurons integrate their inputs, the principles by which this integration occurs, and what this may mean for perception and behavior. Neurons in the superior colliculus and cortex are emphasized as models of multiple sensory integrators.

Report of the Hypertension Task Force: General summary and recommendations
  • Language: en
  • Pages: 80
Biocomputing And Emergent Computation - Proceedings Of Bcec97
  • Language: en
  • Pages: 312

Biocomputing And Emergent Computation - Proceedings Of Bcec97

This volume contains papers presented at the BCEC97 conference, held in Skövde, Sweden, in September 1997. The conference brought together researchers from biology and computer science to discuss the use of computational techniques in biology, as well as the use of biological metaphors in computing. Examples of the work presented in these papers include computer simulations of embryogenesis; algorithms for protein folding prediction; problem solving using DNA computation; neural-network learning in retina implants; and optimisation algorithms inspired by natural evolution.