Back close

Reconstructing Local Field Potential from realistic computational models for spontaneous and evoked stimuli

Reconstructing Local Field Potential from realistic computational models for spontaneous and evoked stimuli

Local Field Potentials (LFPs) are population signals generated by complex spatiotemporal interaction of current sources and dipoles. Mathematical computations of LFPs allow the study of circuit functions and dysfunctions via simulations. LFPsim was developed to be used on existing cable compartmental neuron and network models. As a demonstration of efficient implementation, we showcase LFPs from mathematical models of electrotonically compact cerebellum granule neurons and morphologically complex neurons of the neocortical column. Simulations with ataxia model suggest that the dysfunction at a single neuron can lead to population code malformations in circuit computations. Further progress in the computational reconstruction of such disease models will also assist in developing animal models of similar disorders.

References

  • Parasuram H, Nair B, D’Angelo E, Hines M, Naldi G, Diwakar S. Computational Modeling of Single Neuron Extracellular Electric Potentials and Network Local Field Potentials using LFPsim. Front Comput Neurosci. 2016 Jun 28;10:65. doi: 10.3389/fncom.2016.00065. PMID: 27445781; PMCID: PMC4923190.

Related Projects

Development of Natural Biopolymeric Hydrogel Bandages with NanoZnO/ Nanosuspensions of Herb Hemigraphis Ulternata for Wound Dressing
Development of Natural Biopolymeric Hydrogel Bandages with NanoZnO/ Nanosuspensions of Herb Hemigraphis Ulternata for Wound Dressing
Medical Signal Processing using IoT Devices
Medical Signal Processing using IoT Devices
Characterization of the fibronectin isoforms and its fragments
Characterization of the fibronectin isoforms and its fragments
An exploratory clinical study to determine the utility of heart rate variability analysis in the assessment of dosha imbalance
An exploratory clinical study to determine the utility of heart rate variability analysis in the assessment of dosha imbalance
Fault diagnosis of dynamic mechanical systems (gearbox) based on signal processing using machine learning techniques
Fault diagnosis of dynamic mechanical systems (gearbox) based on signal processing using machine learning techniques
Admissions Apply Now