Modeling aspects of learning by altering biophysical properties of a simulated neuron

A linear relationship was found to exist between firing threshold and the level of synaptic input required to reach the transition from quiescence to near-tetanic rates of discharge and the interplay between those two processes was described.

Abstract

A simulated neuron was constructed in which effects on spike discharge of altering certain fundamental biophysical parameters could be studied. The simulation was performed by use of a digital computer. The simulation was tested by comparing performance of the simulated neuron with that of actual neurons. Rates and patterns of spike discharge were achieved for the simulated neuron that were comparable to those recorded from units in the motor cortex of awake cats. Altering biophysical parameters such as firing threshold, levels of synaptic input or rates of transverse and longitudinal current spread produced appropriate alterations of discharge rate. On the above basis it was possible to investigate interrelated effects on spike discharge of changing levels of synaptic input and rates of current spread within the simulated neuron. With low rates of longitudinal current spread, graded levels of synaptic input produced correspondingly graded levels of ouput discharge. With high rates of longitudinal current spread, the transfer properties of the neuron were markedly altered. The neuron became a bistable operator where synaptic inputs above a certain level were enhanced and all those below were suppressed. A linear relationship was found to exist between firing threshold and the level of synaptic input required to reach the transition from quiescence to near-tetanic rates of discharge. Alterations in behavior are increasingly thought to be subserved by changes in the efficacy of synaptic transmission or in the post-synaptic intergrative propeties of neurons. The results of our investigations describe the interplay between those two processes.