Neural network model controlling saccade based on probabilistic expectation

Psychophysical experiment and analysis of the data by a linear neuronal model are presented to investigate mechanisms of expectation on probabilistic stimuli. The results suggest that the expectation is held by synaptic weight of the neuron and the neural mechanism controlling saccade based on expectation consists of two pathways working in parallel. One facilitates saccades based on expectation. The other executes saccades in response to the saccade signal. The neural mechanism is consistent with some neurophysiological findings