Phase-based Cerebellar Learning of Dynamic Signals
Recently, it has been shown that cerebellar Purkinje cell can acquire (memorize) the signals, which come to the climbing fiber cell from external sources [[Reference to 4] and [Reference to 5]]. The memorizing mechanism is based on using phase of climbing fiber firing. In preceding papers two major points were unclear: (1) how the system behaves in a case of non-stationary signals, and (2) how information transformation in cells of cerebellar nuclei affects model behavior. Herewith in computer simulation experiments, we demonstrate that the phase-based cerebellar system is well suited for acquisition of non-stationary signals. The system is also capable to perform signal interpolation as well as acquisition of randomly presented relations. Mathematical analysis, supported with computer simulations, also demonstrate that signal transformation in cerebellar nuclei is consistent with the proposed model and yields same results as the simplified network.
D. C. Wunsch and W. L. Dunin-Barkowski, "Phase-based Cerebellar Learning of Dynamic Signals," Neurocomputing, Elsevier, Jan 2000.
Electrical and Computer Engineering
Keywords and Phrases
Brain; Cells; Computer Simulation; Data Storage Equipment; Mathematical Models; Medical Computing; Neural Networks
Article - Journal
© 2000 Elsevier, All rights reserved.
This document is currently not available here.