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Harilal Parasuram
Harilal Parasuram
Amrita Institute of Medical Sciences, Kochi.
Verified email at aims.amrita.edu - Homepage
Title
Cited by
Cited by
Year
Computational modeling of single neuron extracellular electric potentials and network local field potentials using LFPsim
H Parasuram, B Nair, E D'Angelo, M Hines, G Naldi, S Diwakar
Frontiers in Computational Neuroscience 10, 65, 2016
632016
Complementing neurophysiology education for developing countries via cost-effective virtual labs: case studies and classroom scenarios
S Diwakar, H Parasuram, C Medini, R Raman, P Nedungadi, E Wiertelak, ...
Journal of undergraduate neuroscience education 12 (2), A130, 2014
502014
A modeling based study on the origin and nature of evoked post-synaptic local field potentials in granular layer
H Parasuram, B Nair, G Naldi, E D’Angelo, S Diwakar
Journal of Physiology-Paris 105 (1-3), 71-82, 2011
152011
Quantification of epileptogenic network from stereo EEG recordings using epileptogenicity ranking method
H Parasuram, S Gopinath, S Diwakar
Frontiers in Neurology 12, 738111, 2021
72021
Understanding cerebellum granular layer network computations through mathematical reconstructions of evoked local field potentials
H Parasuram, B Nair, G Naldi, E D’Angelo, S Diwakar
Annals of Neurosciences 25 (1), 11-24, 2018
72018
Role of Artificial Intelligence and Machine Learning in the prediction of the pain: A scoping systematic review
R Sankaran, A Kumar, H Parasuram
Proceedings of the Institution of Mechanical Engineers, Part H: Journal of …, 2022
62022
Predicting Autonomic Dysfunction in Anxiety Disorder from ECG and Respiratory Signals Using Machine Learning Models.
AS George, AV Kurup, P Balachandran, M Nair, S Gopinath, A Kumar, ...
International Journal of Online & Biomedical Engineering 17 (7), 2021
62021
Exploiting point source approximation on detailed neuronal models to reconstruct single neuron electric field and population LFP
H Parasuram, B Nair, G Naldi, E D'Angelo, S Diwakar
2015 International Joint Conference on Neural Networks (IJCNN), 1-7, 2015
62015
Modeling granular layer local field potential using single neuron and network based approaches to predict LTP/LTD in extracellular recordings
N Abdulmanaph, H Parasuraman, B Nair, S Diwakar
Cinquième conférence plénière française de Neurosciences Computationnelles …, 2010
32010
Localizing epileptogenic network from SEEG using non-linear correlation, mutual information and graph theory analysis
R Devisetty, MB Amsitha, S Jyothirmai, R Ajai, A Pillai, A Kumar, ...
Proceedings of the Institution of Mechanical Engineers, Part H: Journal of …, 2022
22022
Computational neuroscience of timing, plasticity and function in cerebellum microcircuits
S Diwakar, C Medini, M Nair, H Parasuram, A Vijayan, B Nair
Computational Neurology and Psychiatry, 343-371, 2017
22017
Computing LFP from biophysical models of neurons and neural microcircuits
S Bodda, H Parasuram, B Nair, S Diwakar
2016 International Conference on Advances in Computing, Communications and …, 2016
22016
Taking Project Tiger to the Classroom: A Virtual Lab Case Study
H Parasuram, B Nair, K Achuthan, S Diwakar
Advances in Computing and Communications: First International Conference …, 2011
22011
Action potential and bursting phenomena using analog electrical neuron
M Parangan, C Aravind, H Parasuraman, K Achuthan, B Nair, S Diwakar
Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in …, 2010
22010
Improving the accuracy of epileptogenic zone localization in stereo EEG with machine learning algorithms
B Jose, S Gopinath, AV Kurup, M Nair, A Pillai, A Kumar, H Parasuram
Brain Research 1820, 148546, 2023
2023
Improving the Performance of ECG-based Epileptic Seizure Prediction
S Nair, CS Kumar, P Muralidharan, S Gopinath, AA Kumar, H Parasuram
2023 14th International Conference on Computing Communication and Networking …, 2023
2023
Improving the Performance of Epileptic Seizure Prediction using Supervised Clustering of Deep Features
P Muralidharan, CS Kumar, KT Sreekumar, AA Kumar, S Gopinath, ...
2023 14th International Conference on Computing Communication and Networking …, 2023
2023
Retrospective analysis of autonomic dysfunction in epilepsy patients from neurophysiological recordings
AR Shridharani, H Parasuram, M Balaraman, R Bhaskaran, A Kumar, ...
Neurology Asia 27 (3), 649-661, 2022
2022
Role of Artificial Intelligence and Machine Learning in the prediction of the pain: A scoping systematic
R Sankaran, A Kumar, H Parasuram
2022
Localization of Epileptogenic Zone: A Graph Theoretical Approach
G Nithin, S Aslam, PS Sathidevi, PM Ameer, S Gopinath, ...
Proceedings of the 2nd International Conference on Vision, Image and Signal …, 2018
2018
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