Basabdatta Sen Bhattacharya

Orcid: 0000-0001-5079-0619

According to our database1, Basabdatta Sen Bhattacharya authored at least 36 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Assistive Chatbots for healthcare: a succinct review.
CoRR, 2023

2022
Phase entrainment by periodic stimuli <i>in silico</i>: A quantitative study.
Neurocomputing, 2022

Optimising hyperparameter search in a visual thalamocortical pathway model.
Proceedings of the International Joint Conference on Neural Networks, 2022

Instrumental Conditioning with Neuromodulated Plasticity on SpiNNaker.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021
Sparse Distributed Memory using Spiking Neural Networks on Nengo.
CoRR, 2021

Bayesian Optimisation for a Biologically Inspired Population Neural Network.
CoRR, 2021

On- and Off-centre Pathways in a Retino-Geniculate Spiking Neural Network on SpiNNaker.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

Quantifying Synchronization in a Biologically Inspired Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 2021

A Reduced-Scale Cortical Network with Izhikevich's Neurons on SpiNNaker.
Proceedings of the International Joint Conference on Neural Networks, 2021

Foveal-pit inspired filtering of DVS spike response.
Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

2020
Implementing a foveal-pit inspired filter in a Spiking Convolutional Neural Network: a preliminary study.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Sleep Stage Classification using NeuCube on SpiNNaker: a Preliminary Study.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2018
Building a Spiking Neural Network Model of the Basal Ganglia on SpiNNaker.
IEEE Trans. Cogn. Dev. Syst., 2018

Interpretable Fuzzy Rule-Based Systems for Classification of Multi-class EEG Data.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

2017
Linking Brainstem Cholinergic Input to Thalamocortical Circuitry.
Proceedings of the Soft Computing for Problem Solving, 2017

2016
Introduction to special issue on 'Recent Computing Paradigms, Network Protocols, and Applications'.
Innov. Syst. Softw. Eng., 2016

Nonlinear Origin of SSVEP Spectra - A Combined Experimental and Modeling Study.
Frontiers Comput. Neurosci., 2016

Causal Role of Thalamic Interneurons in Brain State Transitions: A Study Using a Neural Mass Model Implementing Synaptic Kinetics.
Frontiers Comput. Neurosci., 2016

A Robust Evolutionary Optimisation Approach for Parameterising a Neural Mass Model.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2015
Data-point and feature selection of motor imagery EEG signals for neural classification of cognitive tasks in car-driving.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

EEG classification to determine the degree of pleasure levels in touch-perception of human subjects.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

EEG source localization by memory network analysis of subjects engaged in perceiving emotions from facial expressions.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Adaptive Parameterized AdaBoost Algorithm with application in EEG Motor Imagery Classification.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Spectral and Non-linear Analysis of Thalamocortical Neural Mass Model Oscillatory Dynamics.
Proceedings of the Advanced Computational Approaches to Biomedical Engineering, 2014

2013
Model-based bifurcation and power spectral analyses of thalamocortical alpha rhythm slowing in Alzheimer's Disease.
Neurocomputing, 2013

Implementing the cellular mechanisms of synaptic transmission in a neural mass model of the thalamo-cortical circuitry.
Frontiers Comput. Neurosci., 2013

2012
Assessing Alpha Band Event-related Synchronisation/Desynchronisation Using a Bio-Inspired Computational Model.
J. Univers. Comput. Sci., 2012

Kinetic Modelling of Synaptic Functions in the Alpha Rhythm Neural Mass Model.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011
A thalamo-cortico-thalamic neural mass model to study alpha rhythms in Alzheimer's disease.
Neural Networks, 2011

Assessing retino-geniculo-cortical connectivities in Alzheimer's Disease with a neural mass model.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence, 2011

2010
Biologically inspired means for rank-order encoding images: a quantitative analysis.
IEEE Trans. Neural Networks, 2010

Thalamocortical circuitry and alpha rhythm slowing: An empirical study based on a classic computational model.
Proceedings of the International Joint Conference on Neural Networks, 2010

Intra- and inter-connectivity influences on event related changes in thalamocortical alpha rhythms.
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

2009
Evaluating rank-order code performance using a biologically-derived retinal model.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
Information recovery from rank-order encoded images.
PhD thesis, 2008

2007
Maximising information recovery from rank-order codes.
Proceedings of the Data Mining, 2007


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