Parallel Processing and Learning: Variability and Chaos in Self- Organization of Activity in Groups of Neurons
Annual rept. 1 Feb 1993-31 Jan 1994
OREGON STATE UNIV NEWPORT HATFIELD MARINE SCIENCE CENTER
Pagination or Media Count:
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.
- Anatomy and Physiology
- Computer Programming and Software