Natural & Artificial Parallel Computation: Proceedings of the Fifth NEC Research Symposium
David L. Waltz
SIAM, Jan 1, 1996 - Computers - 202 pages
The volume begins with processing in biological organisms, moves through interactions between processing in biology and computer science, and ends with massively parallel computing. It contains articles by scientists exploring the modeling of biological systems on computers and computer designers interested in exploiting massive numbers of computing elements in parallel.
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Time Coding in the CNS
Adaptive Movement Computation by the Blowfly Visual System
ActivityDependent Conductances in Model and Biological Neurons
Evolution of Parallel Processes in Organic and Digital Media
Information Representation and SelfOrganization of
A Neuroidal Model for Cognition
Abbott action potentials activity activity-dependent adaptation afferent afferent inputs architecture auditory auditory system axons bandwidth barn owl behavior binocular calcium Cambrian explosion cells changes channels chip circuit classical conditioning clauses coding complex contrast correlation cortical neurons cost cytochrome delay lines dendritic description length digital organisms electric fish encoding evolution evolve experimental Figure firing frequency function ganglion genetic algorithm genome global information processing interaction interaural time differences intracellular calcium intrinsic Klein bottle LeMasson M-Machine machine maps Marder massively parallel maximal conductances MDL principle mechanisms membrane model neuron monocular motif extraction neural networks neuroidal model Neurosci node nucleus magnocellularis OFF-center optimal orientation parallel computer parameters pattern performance phase-locked photoreceptor presynaptic processor protein sequences receptive field response self-organization sequential signals simulation spatial STG neurons stimulus stochastic decision predicate stochastic motif subfields synaptic connections synaptic terminals synchronization temporal Tierra velocity visual cortex