Publication Type : Conference Paper
Thematic Areas : Learning-Technologies, Medical Sciences, Biotech
Publisher : Cinquième conférence plénière française de Neurosciences Computationnelles,'Neurocomp'10' .
Source : Cinquième conférence plénière française de Neurosciences Computationnelles,'Neurocomp'10' (2010)
Url : http://hal.archives-ouvertes.fr/hal-00553410/
Campus : Amritapuri
School : School of Biotechnology
Center : Amrita Mind Brain Center, Biotechnology, Computational Neuroscience and Neurophysiology
Department : biotechnology, Biotechnology Virtual Labs
Year : 2010
Abstract : Local field potentials (LFPs) are recorded as waveforms of extracellular activity that arise from complex interactions of spatial distribution of current sources, time dynamics, spatial distribution of dipoles apart underlying conductive properties of the extracellular medium. We reconstructed granular layer post-synaptic LFP by two different approaches in order to test and parameterize the molecular mechanisms of cellular function with network properties. In the first, we used a single granule neuron as a model kernel for reconstructing population activity. The second approach consisted using a detailed network model. LTP and LTD could regulate the spatiotemporal pattern of granular layer responses to mossy fibre inputs. The effect of changes in synaptic release probability and modulation in intrinsic excitability of granule cell on LFP was studied. The study revealed cellular function was represented in LFP wave revealing the activity of underlying neurons. Changes to cell during LTP and LTD were reflected by LFP wave as an indicator of the function of granule neurons as spatial pattern generators. Both modeling approaches generated LFP in vitro  and in vivo  waveforms as reported in experiments.
Cite this Research Publication : N. Abdulmanaph, Harilal Parasuraman, Dr. Bipin G. Nair, Dr. Shyam Diwakar, and , “Modeling granular layer local field potential using single neuron and network based approaches to predict LTP/LTD in extracellular recordings”, in Proceedings of Neurocomp (Lyon, France), 2010, Oct 6-8, 2010.