This book constitutes the refereed proceedings of the International Work-Conference on Artificial Neural Networks, IWANN'97, held in Lanzarote, Canary Islands, Spain, in June 1997.
The volume presents 142 revised full papers selected from an overwhelming wealth of submissions. The volume is divided into sections on biological foundations of neural computation, formal tools and computational models of neurons and neural nets architectures, plasticity phenomena, complex systems dynamics, cognitive science and AI, neural nets simulation, emulation and implementation, methodology for data analysis, task selection and net design, neural networks for perception, and neural networks for communications, control and robotics.

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Book Title: Biological and Artificial Computation: From Neuroscience to Technology
Book Subtitle: International Work-Conference on Artificial and Natural Neural Networks, IWANN’97, Lanzarote, Canary Islands, Spain, June 4–6, 1997 Proceedings
Editors: José Mira, Roberto Moreno-Díaz, Joan Cabestany
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/BFb0032457
Publisher: Springer Berlin, Heidelberg
eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1997
Softcover ISBN: 978-3-540-63047-0Published: 14 May 1997
eBook ISBN: 978-3-540-69074-0Published: 01 December 2005
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XLII, 1406
Number of Illustrations: 856 b/w illustrations
Topics: Computation by Abstract Devices, Artificial Intelligence, Complexity, Neurosciences, Computer Communication Networks, Animal Physiology

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Table of contents (142 papers)

Front Matter

Microcircuits in the brain

Some reflections on the relationships between neuroscience and computation

Different types of temporal correlations obtained in pairs of thalamic visual neurons suggest different functional patterns of connectivity

Development of on-off and off-on receptive fields using a semistochastic model

The classification of spatial, chromatic, and intensity features of simple visual stimuli by a network of retinal ganglion cells

Geometric model of orientation tuning dynamics in striate neurons

Neuronal circuitry in the medial cerebral cortex of lizards

Interactions between environmental and hormonal oscillations induce plastic changes in a simple neuroendocrine transducer

Current Source Density analysis as a tool to constrain the parameter space in hippocampal CA1 neuron models

Spontaneous activity of hippocampal cells in various physiological states

Neural network model of striatal complex

Symmetry and self-organization of the oculomotor neural integrator

Quantal neural mechanisms underlying movement execution and motor learning

A model of cerebellar saccadic motor learning using qualitative reasoning

Balance between intercellular coupling and input resistance as a necessary requirement for oscillatory electrical activity in pancreatic β-cells

Mechanisms of synchronization in the hippocampus and its role along development

Analysis of synfire chains above saturation

Allometry in the Justo Gonzalo's model of the sensorial cortex

Systems models of retinal cells: A classical example

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