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Neuroscience: From Neural Networks to Artificial Intelligence

Proceedings of a U.S.-Mexico Seminar held in the city of Xalapa in the state of Veracruz on December 9–11, 1991

  • Conference proceedings
  • © 1993

Overview

Editors:
  1. Pablo Rudomin

    1. Centro de Investigación y de Estudios Avanzados del I.P.N., México, México

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  2. Michael A. Arbib

    1. Center for Neural Engineering, University of Southern California, Los Angeles, USA

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  3. Francisco Cervantes-Pérez

    1. Centro de Instrumentos, Universidad Nacional Autónoma de México, México D.F., México

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  4. Ranulfo Romo

    1. Instuto de Fisiología Celular, UNAM, México D.F., México

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Part of the book series: Research Notes in Neural Computing (NEURALCOMPUTING, volume 4)

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Table of contents (33 papers)

  1. Front Matter

    Pages I-X
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  3. Processing of sensory information

    1. Front Matter

      Pages 99-102
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    2. Spinal Processing of Impulse Trains from Sensory Receptors

      • L. M. Mendell, H. R. Koerber
      Pages 103-115

    3. Central Control of Sensory Information

      • Pablo Rudomin
      Pages 116-135

    4. Parallel and Serial Processing in the Somatosensory System

      • Jon H. Kaas
      Pages 136-153

    5. Cortical Representation of Touch

      • Ranulfo Romo, Salvador Ruiz, Patricia Crespo
      Pages 154-170

    6. An Introduction to Human Haptic Exploration and Recognition of Objects for Neuroscience and AI

      • Susan J. Lederman, Roberta L. Klatzky
      Pages 171-188

    7. Common Principles in Auditory and Visual Processing

      • Shihab A. Shamma
      Pages 189-205

  4. Visual Processing

    1. Front Matter

      Pages 206-208
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    2. Neuronal Substrate of Light-Induced Attraction and Withdrawal in Crayfish: A Case of Behavioral Selection

      • Francisco Fernández de Miguel, Hugo Aréchiga
      Pages 209-230

    3. Neural and psychophysical models of chromatic and achromatic visual processes

      • Eugenio Martinez-Uriegas
      Pages 231-251

    4. Computational Vision: A Probabilistic View of the Multi-Module Paradigm

      • Jose Luis Marroquin
      Pages 252-266

    5. State of the Art in Image Processing

      • Meemong Lee, Charles H. Anderson, Richard J. Weidner
      Pages 267-281

    6. Shape Recognition in Mind, Brain, and Machine

      • Irving Biederman, John E. Hummel, Eric E. Cooper, Peter C. Gerhardstein
      Pages 282-293
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Keywords

About this book

The Central Nervous System can be considered as an aggregate of neurons specialized in both the transmission and transformation of information. Information can be used for many purposes, but probably the most important one is to generate a representation of the "external" world that allows the organism to react properly to changes in its external environment. These functions range from such basic ones as detection of changes that may lead to tissue damage and eventual destruction of the organism and the implementation of avoidance reactions, to more elaborate representations of the external world implying recognition of shapes, sounds and textures as the basis of planned action or even reflection. Some of these functions confer a clear survival advantage to the organism (prey or mate recognition, escape reactions, etc. ). Others can be considered as an essential part of cognitive processes that contribute, to varying degrees, to the development of individuality and self-consciousness. How can we hope to understand the complexity inherent in this range of functionalities? One of the distinguishing features of the last two decades has been the availability of computational power that has impacted many areas of science. In neurophysiology, computation is used for experiment control, data analysis and for the construction of models that simulate particular systems. Analysis of the behavior of neuronal networks has transcended the limits of neuroscience and is now a discipline in itself, with potential applications both in the neural sciences and in computing sciences.

Editors and Affiliations

  • Centro de Investigación y de Estudios Avanzados del I.P.N., México, México

    Pablo Rudomin

  • Center for Neural Engineering, University of Southern California, Los Angeles, USA

    Michael A. Arbib

  • Centro de Instrumentos, Universidad Nacional Autónoma de México, México D.F., México

    Francisco Cervantes-Pérez

  • Instuto de Fisiología Celular, UNAM, México D.F., México

    Ranulfo Romo

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