Publication Type : Conference Paper
Thematic Areas : Learning-Technologies, Medical Sciences, Biotech
Publisher : Proceedings of the Sixth International Conference on Advances in Computing, Communications and Informatics (ICACCI-2017).
Source : Proceedings of the Sixth International Conference on Advances in Computing, Communications and Informatics (ICACCI-2017), Manipal University, Karnataka, India, Sept 13-16, 2017.
Url : https://scholar.google.com/scholar?oi=bibs&cluster=3760456749515190513&btnI=1&hl=en
Keywords : Biological system modeling, Brain models, cellular circuit neuroscience, computational modeling, dysfunctions, Integrated circuit modeling, Local field potentials, lumped mass models, mathematical model, mathematical reconstructions, medical signal processing, molecular circuit neuroscience, multicompartmental models, neural circuits, neural ensemble activity, neural nets, neuron models, Neurons, Neurophysiology, population network activity, sociology, spiking neuronal models, Statistics
Campus : Amritapuri
School : School of Biotechnology
Center : Amrita Mind Brain Center, Biotechnology, Computational Neuroscience and Neurophysiology
Department : biotechnology
Year : 2017
Abstract : Local Field Potentials arising (LFP) from neural circuits are crucial to understand neural ensemble activity and can act as a link between molecular, cellular and circuit neuroscience. Additionally, mathematical estimations of LFPs allow the study of circuit functions and dysfunctions. In this study, we used mathematical reconstructions of LFP in rat cerebellum Crus IIa using spiking neuronal models and mass models based on lumped parameters to reconstruct the averaged ensemble activity. Comparing experimentally validated reconstructions of evoked LFPs using detailed multi-compartmental models, spiking neurons and lumped mass models suggest variations at the translational levels of biophysical mechanisms in granular layer. With the focus of reconnecting multiple information roles, our simulations studies indicate multi-compartmental detailed models allow estimations on the role of transmembrane currents, spiking neuron models suggest contributions of action potentials while mass models reveal averaged activity behaviour underlying Crus IIa evoked LFPs.
Cite this Research Publication : S. Bodda, R. K. Palathingal, V. Sankar, Dr. Bipin G. Nair, and Dr. Shyam Diwakar, “Modeling population network activity using lfpsim, spiking neurons and neural mass models”, in Proceedings of the Sixth International Conference on Advances in Computing, Communications and Informatics (ICACCI-2017), Manipal University, Karnataka, India, Sept 13-16, 2017.