DocumentCode :
3493256
Title :
Time-slicing: a model for cerebellar function based on synchronization, reverberation, and time windows
Author :
Kistler, Werner M. ; Van Hemmen, J. Leo
Author_Institution :
Dept. of Phys., Tech. Univ. Munchen, Germany
Volume :
2
fYear :
1999
fDate :
1999
Firstpage :
539
Abstract :
We present a new theory of cerebellar function that is based on synchronization, delayed reverberation, and time windows for triggering spikes. We show that granule cells admit messy fiber activity to the parallel fibers only if the Golgi cells are firing synchronously and if the spikes arrive within short and well-defined time windows. The time window mechanism organizes neuronal activity in discrete `time slices´ that can be used to discern meaningful information from background noise. In particular, Purkinje cell activity can trigger rebound spikes in deep cerebellar nuclei cells which project via brain stem nuclei and messy fibers back to the cerebellar cortex. Large network simulations reveal that a form of synaptic plasticity at the parallel fiber/Purkinje cell synapses that relies on the timing of parallel and climbing fiber spikes allows the system to learn, store, and recall spatio-temporal patterns of spike activity. The present theory sheds new light on several experimental observations such as the high degree of climbing fiber spike synchrony, the width of micro zones, and developmental changes in inhibitory postsynaptic currents of granule cells
Keywords :
neurophysiology; Golgi cells; Purkinje cell; cerebellar cortex; cerebellar function; granule cells; neural nets; neurophysiology; reverberation; spike activity; synaptic plasticity; synchronization; time slices; time windows;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Artificial Neural Networks, 1999. ICANN 99. Ninth International Conference on (Conf. Publ. No. 470)
Conference_Location :
Edinburgh
ISSN :
0537-9989
Print_ISBN :
0-85296-721-7
Type :
conf
DOI :
10.1049/cp:19991165
Filename :
817985
Link To Document :
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