Accession Number:

ADA277423

Title:

Analysis and Synthesis of Adaptive Neural Elements and Assembles

Descriptive Note:

Final technical rept. 1 Oct 1990-30 Sep 1993

Corporate Author:

TEXAS UNIV MEDICAL SCHOOL AT HOUSTON DEPT OF NEUROBIOLOGY AND ANATOMY

Personal Author(s):

Report Date:

1993-09-30

Pagination or Media Count:

14.0

Abstract:

The overall objectives of this research were to investigate mechanisms underlying neural plasticity, learning and memory. Between October 1, 1990 and September 30, 1993, progress was made in eight areas 1 Voltage-clamp experiments analyzed membrane currents in a neuron that is modified during learning. 2 These data were incorporated into a single-cell model of associative learning. 3 The single-cell model was incorporated into a small neural network and simulations examined the functions of interneurons and the consequences of plasticity at multiple sites. 4 Additional simulations with the single-cell model examined potential cellular mechanisms for operant conditioning. 5 As a first step toward identifying additional loci for learning-induced modifications, the synaptic interactions were characterized among neurons that function as a central pattern generator CPG. 6 Experiments also characterized how transmitters modulated the properties of the neurons and synaptic connections in the CPG and altered the electrical activity in the CPG. 7 These data were used to develop a model of the CPG and simulations examined the mechanisms underlying the generation of rhythmic neural activity. 8 A realistic model of a bursting neuron was used to examine mechanisms underlying the generation and modulation of endogenous rhythmic neuronal activity. In addition, a computer program that is a general-purpose simulator for neural networks and action potentials was developed and has been made available to others. These results have provided general insights into information processing and storage in the nervous system. Learning, Memory, Information storage, Artificial intelligence.

Subject Categories:

  • Psychology
  • Human Factors Engineering and Man Machine Systems

Distribution Statement:

APPROVED FOR PUBLIC RELEASE