Publication Type:

Conference Paper


Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010, Changsha, p.1504-1509 (2010)





Cellular function, Complex interaction, Computation theory, Computational neuroscience, Conductive properties, Current sources, Extracellular, Extracellular medium, Granular layer, Granulation, Granule cells, In-vitro, In-vivo, Independent component analysis, Local field potentials, Modeling, Modeling approach, Molecular mechanism, Mossy Fibers, Network layers, Network models, Network properties, Single granule, Spatial distribution, Spatial patterns, Spatiotemporal patterns, Time dynamic, Wave forms


Local field potentials (LFPs) 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 reconstruct LFP in order to test and parameterize the molecular mechanisms of cellular function with network properties. The sensitivity of LFP to local excitatory and inhibitory connections was tested using two novel approaches. 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. L TP and LTD could regulate the spatiotemporal pattern of granular layer responses to mossy fiber 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 L TP 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 [16] and in vivo [17] waveforms as reported in experiments. © 2010 IEEE.


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Cite this Research Publication

H. Parasuraman, N. Abdulmanaph, Dr. Bipin G. Nair, and Dr. Shyam Diwakar, “Reconstructing extracellular local field potential in cerebellar granular layer networks”, in Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010, Changsha, 2010, pp. 1504-1509.

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