By Topic

Neural Systems Modeling Applied to the Cerebellum

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)

Any effective model of a nontrivial portion of the nervous system cannot possibly account in detail for the activity of individual cells. We have developed an approach to modeling cortical systems by taking advantage of the regularities of the macrostructure and the stochastic nature of the spatial microstructure and temporal activity. A gross linear or nonlinear description is found for the local activity of neural tissue. If the local activity can be described by a function which is linear in space and time, then this can be convoluted with any spatiotemporal input pattern to predict the output. When applied to the cerebellar cortex this approach has resulted in a model analogous to an anisotropic spatial filter with interesting temporal properties. The model predicts that the cerebellar cortex will enhance the detail (in space and time) of any input pattern. However, the form of the spatial transfer function depends on the temporal frequency of the input and vice-versa.

Published in:

Systems, Man and Cybernetics, IEEE Transactions on  (Volume:SMC-2 ,  Issue: 3 )