Publication Type:

Conference Paper


2015 International Joint Conference on Neural Networks (IJCNN), IEEE, Killarney, Ireland (2015)


attenuation, attenuation property, axon-hillock region, Biological system modeling, cable compartmental contribution, cellular biophysics, cerebellar granule neuron, Computational model, Computational neuroscience, Conductivity, Convergence, electric potential, evoked postsynaptic in vivo LFP trace, extracellular electrode, Extracellular medium, L5 neuron, L5 pyramidal neuron, local field potential, localized ion channel, medical signal processing, neuron extracellular field potential, Neuronal model, Neurophysiology, physiology, Plasticity, Point Source Approximation, point source approximation technique, population LFP, rat Crus-IIa cerebellar granular layer, single neuron activity, single neuron electric field, single neuron LFP


Extracellular electrodes record local field potential as an average response from the neurons within the vicinity of the electrode. Here, we used neuronal models and point source approximation techniques to study the compartmental contribution of single neuron LFP and the attenuation properties of extracellular medium. Cable compartmental contribution of single neuron LFP was estimated by computing electric potential generated by localized ion channels. We simulated the electric potential generated from axon-hillock region contributed significantly to the single neuron extracellular field. Models of cerebellar granule neuron and L5 pyramidal neuron were used to study single neuron extracellular field potentials. Attenuation properties of the extracellular medium were studied via the granule cell model. A computational model of a rat Crus-IIa cerebellar granular layer, built with detailed anatomical and physiological properties allowed reconstructing population LFP. As with single neurons, the same technique was able to reconstruct the T and C waves of evoked postsynaptic in vivo LFP trace. In addition to role of attenuation on the width of signals, plasticity was simulated via modifications of intrinsic properties of underlying neurons and population LFP validated experimental data correlating network function to underlying single neuron activity.

Cite this Research Publication

Harilal Parasuram, Dr. Bipin G. Nair, Giovanni Naldi, Egidio D'Angelo, and Dr. Shyam Diwakar, “Exploiting point source approximation on detailed neuronal models to reconstruct single neuron electric field and population LFP”, in 2015 International Joint Conference on Neural Networks (IJCNN), Killarney, Ireland, 2015.