Neural Population Modeling and Psychology: A Review

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Neural Population Modeling and Psychology: A Review

Show simple item record Levine, Daniel S. en 2010-06-09T15:28:02Z en 2010-06-09T15:28:02Z en 1984 en
dc.identifier.uri en
dc.description.abstract The development of neural population modeling as it relates to psychology is traced from the early 1940s to the present. The evolution of the field has been from descriptions of randomly connected neurons transmitting all-or-none signals to analyses of structured multi-level net-works whose dynamics involve several different spatial and temporal scales. The cybernetic revolution of the 1940s led to the incorporation into digital neural models of such concepts as linear threshold logic, redundant computation. and information. Each of these concepts has more recently been synthesized with learning to generate a set of adaptive neural models. Concurrently, a variety of data from neurophysiology and from experimental psychology suggested models that incorporated continuous and nonlinear effects. Since the late 1960s there has been much activity in the design of rules for modifiable synapses in models of learning or conditioning. There has also been much activity in the design of lateral inhibitory networks that model sensory pattern storage. The development of models of these effects is outlined. together with that of multi-level networks that combine modifiable synapses and lateral inhibitory anatomies. These multilevel networks model such psychological effects as reinforcement attention, coding of feature detectors, and interactions between short-term and long-term memory. en
dc.language.iso en_US en
dc.publisher University of Texas at Arlington en
dc.relation.ispartofseries Technical Report;217 en
dc.subject Review en
dc.subject Neural population modeling en
dc.subject Psychology en
dc.subject Neurophysiology en
dc.subject Structure-function relationship en
dc.subject.lcsh Biomathematics en
dc.subject.lcsh Mathematics Research en
dc.title Neural Population Modeling and Psychology: A Review en
dc.type Technical Report en
dc.publisher.department Department of Mathematics en

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