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

Furfuryl Derivatives of Meldrum’s Acid: Synthesis, Characterisation and Biological Studies
Furfuryl Derivatives of Meldrum’s Acid: Synthesis, Characterisation and Biological Studies
Automated Detection of Nonconvulsive Electrographic Seizures from continuous EEG 
Automated Detection of Nonconvulsive Electrographic Seizures from continuous EEG 
Theragnostics, Re-generative Medicine and Stem Cell Using Cell-Targeted Nano-material
Theragnostics, Re-generative Medicine and Stem Cell Using Cell-Targeted Nano-material
5-Bus Power System: A Compact Digital Twin Model
5-Bus Power System: A Compact Digital Twin Model
Neural Network Modeling for Condition Monitoring of I. C. Engine using different composite flywheels
Neural Network Modeling for Condition Monitoring of I. C. Engine using different composite flywheels
Admissions Apply Now