Abstract
Realistic modeling of the cerebellum granular layer has remained an unresolved issue. Now the availability of detailed single neuron codes and of a wealth of experimental results on single cell and network functions in vitro and in vivo has allowed reconsidering the issue. We have constructed a detailed computational model of the cerebellum granular layer and mapped it against several cellular and network constraints including: 1) center-surround organization 2) time-windowing 3) non-linear filtering 4) theta-frequency oscillations the model, purely based on microscopic properties (connectivity and single-neuron functions) has been able to reproduce these four higher-level effects. Therefore, the granular layer model is proving a powerful tool for predicting cerebellar computations.
Original language | English |
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Title of host publication | 4th International Conference on Cognitive Systems, CogSys 2010 |
Publication status | Published - 2010 |
Event | 4th International Conference on Cognitive Systems, CogSys 2010 - Zurich, Switzerland Duration: Jan 27 2010 → Jan 28 2010 |
Other
Other | 4th International Conference on Cognitive Systems, CogSys 2010 |
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Country/Territory | Switzerland |
City | Zurich |
Period | 1/27/10 → 1/28/10 |
ASJC Scopus subject areas
- Artificial Intelligence
- Information Systems