Basabdatta Sen Bhattacharya
Basabdatta Sen Bhattacharya
Computer Science and Information Systems, Birla Institute of Technology and Science Pilani, Goa
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Citata da
Citata da
A thalamo–cortico–thalamic neural mass model to study alpha rhythms in Alzheimer’s disease
BS Bhattacharya, D Coyle, LP Maguire
Neural networks 24 (6), 631-645, 2011
Alpha and theta rhythm abnormality in Alzheimer’s disease: a study using a computational model
BS Bhattacharya, D Coyle, LP Maguire
From Brains to Systems, 57-73, 2011
Using a virtual cortical module implementing a neural field model to modulate brain rhythms in Parkinson's disease
J Modolo, B Bhattacharya, R Edwards, J Campagnaud, A Legros, ...
Frontiers in neuroscience 4, 45, 2010
Model-based bifurcation and power spectral analyses of thalamocortical alpha rhythm slowing in Alzheimer's disease
BS Bhattacharya, Y Cakir, N Serap-Sengor, L Maguire, D Coyle
Neurocomputing 115, 11-22, 2013
Nonlinear origin of ssvep spectra—a combined experimental and modeling study
M Labecki, R Kus, A Brzozowska, T Stacewicz, BS Bhattacharya, ...
Frontiers in computational neuroscience 10, 129, 2016
Biologically inspired means for rank-order encoding images: A quantitative analysis
BS Bhattacharya, SB Furber
IEEE transactions on neural networks 21 (7), 1087-1099, 2010
Causal role of thalamic interneurons in brain state transitions: a study using a neural mass model implementing synaptic kinetics
BS Bhattacharya, TP Bond, L O'hare, D Turner, SJ Durrant
Frontiers in computational neuroscience 10, 115, 2016
Maximising information recovery from rank-order codes
B Sen, S Furber
Data Mining, Intrusion Detection, Information Assurance, and Data Networks …, 2007
Engineering a thalamo-cortico-thalamic circuit on SpiNNaker: a preliminary study toward modeling sleep and wakefulness
BS Bhattacharya, C Patterson, F Galluppi, SJ Durrant, S Furber
Frontiers in neural circuits 8, 46, 2014
Thalamocortical circuitry and alpha rhythm slowing: an empirical study based on a classic computational model
BS Bhattacharya, D Coyle, L Maguire
Neural Networks (IJCNN), The 2010 International Joint Conference on, 1-7, 2010
Building a Spiking Neural Network Model of the Basal Ganglia on SpiNNaker
B Sen-Bhattacharya, S James, O Rhodes, I Sugiarto, A Rowley, ...
IEEE Transactions on Cognitive and Developmental Systems, 2018
Validating neuro-computational models of neurological and psychiatric disorders
BS Bhattacharya, FN Chowdhury
Springer, 2015
EEG classification to determine the degree of pleasure levels in touch-perception of human subjects
A Saha, A Konar, BS Bhattacharya, AK Nagar
Neural Networks (IJCNN), 2015 International Joint Conference on, 1-8, 2015
Implementing the cellular mechanisms of synaptic transmission in a neural mass model of the thalamo-cortical circuitry
BS Bhattacharya
Frontiers in computational neuroscience 7, 81, 2013
A computational modelling approach to investigate alpha rhythm slowing associated with Alzheimer’s Disease
B Bhattacharya, D Coyle, L Maguire
Online, 2010
Evaluating rank-order code performance using a biologically-derived retinal model
B Sen, S Furber
Neural Networks, 2009. IJCNN 2009. International Joint Conference on, 2867-2874, 2009
A spiking neural network model of the lateral geniculate nucleus on the SpiNNaker machine
B Sen-Bhattacharya, T Serrano-Gotarredona, L Balassa, A Bhattacharya, ...
Frontiers in neuroscience 11, 454, 2017
Kinetic modelling of synaptic functions in the alpha rhythm neural mass model
BS Bhattacharya, D Coyle, LP Maguire, J Stewart
International Conference on Artificial Neural Networks, 645-652, 2012
Past, present and future of brain stimulation
J Modolo, R Edwards, J Campagnaud, B Bhattacharya, A Beuter
Mathematical Modelling of Natural Phenomena 5 (2), 185-207, 2010
EEG source localization by memory network analysis of subjects engaged in perceiving emotions from facial expressions
R Kar, A Konar, A Chakraborty, BS Bhattacharya, AK Nagar
Neural Networks (IJCNN), 2015 International Joint Conference on, 1-8, 2015
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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