Parallel Processing and Learning: Variability and Chaos in Self- Organization of Activity in Groups of Neurons
Abstract
I. Progress on the behavioral and the molecular biological goals: (1) We have finished, as originally proposed, the software and first actual physical system for computer-controlled training procedures with which to shape animal behavior and to perform learning-conditioning experiments. (2) We have constructed molecular biological vectors for generating muscarinic cholinergic receptor proteins pertaining specifically to all of the five known muscarinic receptors--this work follows on previous AFOSR-funded work relating to cholinergic enhancement of associative learning 14,15,11-13. II. Progress into the implications of attractors, perturbation analysis of neurons, and the use of language theory: (3) We have developed the conceptual rationale and conducted computer experiments to show that attractor gradients provide an integrative principle that globally acts on all synapses in a network of cooperative neurons. The consequences of this are extensive, and much naturally falls out naturally, e.g: synaptic strengths are optimally set with one another; the size of the Attractors, Dissipative action, learning, Muscarinic receptors, Symbolic dynamics, Finite-state automata, Neural networks, Neuron membrane perturbation analysis.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 27, 1994
- Accession Number
- ADA285668
Entities
People
- George J. Mpitsos
Organizations
- Oregon State University