Exploiting point source approximation on detailed neuronal models to reconstruct single neuron electric field and population LFP

Harilal Parasuram, Bipin Nair, Giovanni Naldi, Egidio D'Angelo, Shyam Diwakar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the International Joint Conference on Neural Networks
PublisherInstitute of Electrical and Electronics Engineers Inc.
Volume2015-September
ISBN (Print)9781479919604, 9781479919604, 9781479919604, 9781479919604
DOIs
Publication statusPublished - Sep 28 2015
EventInternational Joint Conference on Neural Networks, IJCNN 2015 - Killarney, Ireland
Duration: Jul 12 2015Jul 17 2015

Other

OtherInternational Joint Conference on Neural Networks, IJCNN 2015
CountryIreland
CityKillarney
Period7/12/157/17/15

Fingerprint

Neurons
Electric fields
Electrodes
Electric potential
Plasticity
Rats
Cables
Ions

Keywords

  • Cerebellar Granule neuron
  • Computational Neuroscience
  • L5 neuron
  • Local Field Potential
  • Plasticity
  • Point Source Approximation

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

Cite this

Parasuram, H., Nair, B., Naldi, G., D'Angelo, E., & Diwakar, S. (2015). Exploiting point source approximation on detailed neuronal models to reconstruct single neuron electric field and population LFP. In Proceedings of the International Joint Conference on Neural Networks (Vol. 2015-September). [7280607] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IJCNN.2015.7280607

Exploiting point source approximation on detailed neuronal models to reconstruct single neuron electric field and population LFP. / Parasuram, Harilal; Nair, Bipin; Naldi, Giovanni; D'Angelo, Egidio; Diwakar, Shyam.

Proceedings of the International Joint Conference on Neural Networks. Vol. 2015-September Institute of Electrical and Electronics Engineers Inc., 2015. 7280607.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Parasuram, H, Nair, B, Naldi, G, D'Angelo, E & Diwakar, S 2015, Exploiting point source approximation on detailed neuronal models to reconstruct single neuron electric field and population LFP. in Proceedings of the International Joint Conference on Neural Networks. vol. 2015-September, 7280607, Institute of Electrical and Electronics Engineers Inc., International Joint Conference on Neural Networks, IJCNN 2015, Killarney, Ireland, 7/12/15. https://doi.org/10.1109/IJCNN.2015.7280607
Parasuram H, Nair B, Naldi G, D'Angelo E, Diwakar S. Exploiting point source approximation on detailed neuronal models to reconstruct single neuron electric field and population LFP. In Proceedings of the International Joint Conference on Neural Networks. Vol. 2015-September. Institute of Electrical and Electronics Engineers Inc. 2015. 7280607 https://doi.org/10.1109/IJCNN.2015.7280607
Parasuram, Harilal ; Nair, Bipin ; Naldi, Giovanni ; D'Angelo, Egidio ; Diwakar, Shyam. / Exploiting point source approximation on detailed neuronal models to reconstruct single neuron electric field and population LFP. Proceedings of the International Joint Conference on Neural Networks. Vol. 2015-September Institute of Electrical and Electronics Engineers Inc., 2015.
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