| Literature DB >> 8765654 |
N Schweighofer1, M A Arbib, P F Dominey.
Abstract
A large, realistic cerebellar neural network has been incorporated into a previously developed saccade model. Using this model, in the present paper, we simulate the complex spatiotemporal behavior of the neuronal subpopulations implicated in adaptive saccadic control. Our simulation results are in good agreement with neurophysiological and behavioral data. Furthermore, we suggest several new experiments to test the validity of our predictions on adaptive saccadic control.Mesh:
Year: 1996 PMID: 8765654 DOI: 10.1007/bf00238737
Source DB: PubMed Journal: Biol Cybern ISSN: 0340-1200 Impact factor: 2.086