Table of Contents Author Guidelines Submit a Manuscript
Computational Intelligence and Neuroscience
Volume 2012, Article ID 359529, 17 pages
http://dx.doi.org/10.1155/2012/359529
Research Article

Modeling Spike-Train Processing in the Cerebellum Granular Layer and Changes in Plasticity Reveal Single Neuron Effects in Neural Ensembles

1Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham (Amrita University), Amritapuri, Clappana, Kollam 690525, Kerala, India
2Department of Physiology, University of Pavia, Via Forlanini 7, 21000 Pavia, Italy
3Brain Connectivity Center, IRCCS C. Mondino, Via Mondino 2, 27100 Pavia, Italy
4Department of Mathematics, University of Milan, Via Saldini 50, 27100 Milan, Italy

Received 6 March 2012; Accepted 12 July 2012

Academic Editor: Steven Bressler

Copyright © 2012 Chaitanya Medini et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

“Spot” center surround activation in 1680 detailed biophysical network model. Note the top square (slightly larger) over the band is the Golgi cell. With a short burst through mossy fibers, the cells in the center are first activated and then the periphery. The center detects burst on a broader band and emits bursts with shorter lag, higher frequency and longer duration [1]. We also simulated the “spot” on the AdEx spiking neuron based network model. The speed in Adex model (data not shown) and detailed biophysical model are different. However, AdEx network model could reproduce the spiking patterns whereas the detailed model could reproduce both firing and ionic channel properties such as extracellular evoked potentials (see Fig. 7).

  1. Supplementary Video