A spiking neural network model of the Superior Colliculus that is robust to changes in the spatial-temporal input.

ABSTRACT: Previous studies have indicated that the location of a large neural population in the Superior Colliculus (SC) motor map specifies the amplitude and direction of the saccadic eye-movement vector, while the saccade trajectory and velocity profile are encoded by the population firing rates. We recently proposed a simple spiking neural network model of the SC motor map, based on linear summation of individual spike effects of each recruited neuron, which accounts for many of the observed properties of SC cells in relation to the ensuing eye movement. However, in the model, the cortical input was kept invariant across different saccades. Electrical microstimulation and reversible lesion studies have demonstrated that the saccade properties are quite robust against large changes in supra-thresh

SUBMITTER: Alizadeh A 

PROVIDER: S-EPMC9050704 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature