Title

Phase-based Cerebellar Learning of Dynamic Signals

Abstract

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.

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

Brain; Cells; Computer Simulation; Data Storage Equipment; Mathematical Models; Medical Computing; Neural Networks

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2000 Elsevier, All rights reserved.

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