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Computational modeling of LFP and predictions on granular layer plasticity

Publication Type : Poster

Thematic Areas : Biotech, Learning-Technologies, Medical Sciences

Publisher : Front. Neuroinform. Conference Abstract: Neuroinformatics.

Source : Front. Neuroinform. Conference Abstract: Neuroinformatics (2008)

Url :

Campus : Amritapuri

School : School of Biotechnology

Center : Amrita Mind Brain Center, Biotechnology, Computational Neuroscience and Neurophysiology

Department : biotechnology, Computational Neuroscience Laboratory

Year : 2008

Abstract : Extracellular field potentials of brain network activity exhibit special characteristics at ms scale (Gold et al., JNphysiol, 2006, 95, 3113-3128), that can be used to predict several intracellular parameters including width and number of action potentials (Csicsvari et al., JNphysiol, 2003, 90, 1314-1323). A detailed multicompartmental model of a cerebellar granule cell was developed from available single compartmental model (D'Angelo et al., J Nsc, 2001, 21, 759-770) and was used to simulate responses to mossy-fibers excitation, which were then used to reconstruct the extracellular potentials. The cell model was developed with NEURON (Hines et al, Neural Comput, 1997, 9, 1179-1209) and comprised 52 compartments with an explicit representation of the axon ascending branch(Full parallel fiber simulations gave similar results). The spike originated in the axon and invaded at high speed the somato-dendritic compartment, which was iso-potential. The model nicely reproduced spike retrograde propagation and Na+ currents in patch-clamp experiments.

Cite this Research Publication : Dr. Shyam Diwakar, Naldi, G., and D’Angelo, E., “Computational modeling of LFP and predictions on granular layer plasticity”, in Neuroinformatics 2008, Aug 7-9, Stockholm, Sweden.

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