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Contribution to Book
Information processing in a cerebellar granule cell
Computational Neuroscience: Trends in Research 1997
  • Huo Lu, Philadelphia College of Osteopathic Medicine
  • R. W. Prior
  • L. J. Larson-Prior
Document Type
Chapter
Publication Date
1-1-1997
Abstract

A fifteen compartment, biologically realistic model of a cerebellar granule cell (GC) was developed to examine the signal processing capabilities of this most numerous element in the cerebellar cortical circuit. The model explicitly includes compartments for the soma, axon hillock, proximal axon, dendrites and terminal bulbs. All synaptic inputs were transduced via activation of glutamate receptor subtypes located on the dendritic bulb compartments, and were systematically varied in their number and frequency. An intriguing morphological feature, in which axonal location is shifted from the soma to a dendrite, was specifically examined to determine its impact on granule cell output. The GC was shown to be electrotonically compact, resulting in a lack of biasing of output based on axonal location. Biasing of output could be driven by changes in the passive parameters of the model, but required an unrealistically large change in resistive coupling between dendritic and somal compartments. Thus, axonal location does not induce physiologically relevant phase shifts between synaptic inputs located on multiple dendritic bulbs, suggesting that the GC relies heavily upon temporal aspects of its input signals for integrative processing.

Comments

Chapter in Computational Neuroscience: Trends in Research 1997 by J. Bower (Ed.).

The published version is available at http://dx.doi.org/10.1007/978-1-4757-9800-5_19

Copyright © 1997 Springer.

Citation Information
Huo Lu, R. W. Prior and L. J. Larson-Prior. "Information processing in a cerebellar granule cell" Computational Neuroscience: Trends in Research 1997 (1997)
Available at: http://works.bepress.com/huo_lu/10/