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Basabdatta Sen Bhattacharya
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2020 – today
- 2023
- [c24]Pavan Kumar Enuganti, Basabdatta Sen Bhattacharya:
Mixed-Mode Response of Nigral Dopaminergic Neurons: An in Silico Study on SpiNNaker. ICANN (5) 2023: 363-374 - [c23]Swapna Sasi, Basabdatta Sen Bhattacharya:
In Silico Study of Single Synapse Dynamics Using a Three-State Kinetic Model. ICANN (2) 2023: 385-396 - [c22]Akhilesh Adithya, Basabdatta Sen Bhattacharya, Michael Hopkins:
Robustness of Biologically-Inspired Filter-Based ConvNet to Signal Perturbation. ICANN (10) 2023: 394-406 - [i5]Basabdatta Sen Bhattacharya, Vibhav Sinai Pissurlenkar:
Assistive Chatbots for healthcare: a succinct review. CoRR abs/2308.04178 (2023) - 2022
- [j10]Swapna Sasi, Basabdatta Sen Bhattacharya:
Phase entrainment by periodic stimuli in silico: A quantitative study. Neurocomputing 469: 273-288 (2022) - [c21]Pavan Kumar Enuganti, Basabdatta Sen Bhattacharya, Andrew Gait, Andrew Rowley, Christian Y. A. Brenninkmeijer, Donal K. Fellows, Stephen B. Furber:
Instrumental Conditioning with Neuromodulated Plasticity on SpiNNaker. ICONIP (2) 2022: 148-159 - [c20]Swapna Sasi, Taher Yunus Lilywala, Basabdatta Sen Bhattacharya:
Optimising hyperparameter search in a visual thalamocortical pathway model. IJCNN 2022: 1-8 - 2021
- [c19]Shriya T. P. Gupta, Pablo Linares-Serrano, Basabdatta Sen Bhattacharya, Teresa Serrano-Gotarredona:
Foveal-pit inspired filtering of DVS spike response. CISS 2021: 1-6 - [c18]Chinmay Chiplunkar, Nishant Gautam, Ishita Mediratta, Andrew Gait, Sujith Thomas, Andrew Rowley, Teresa Serrano-Gotarredona, Basabdatta Sen Bhattacharya:
A Reduced-Scale Cortical Network with Izhikevich's Neurons on SpiNNaker. IJCNN 2021: 1-8 - [c17]Pranav Mahajan, Advait Rane, Swapna Sasi, Basabdatta Sen Bhattacharya:
Quantifying Synchronization in a Biologically Inspired Neural Network. IJCNN 2021: 1-6 - [c16]Basabdatta Sen Bhattacharya, Teresa Serrano-Gotarredona:
On- and Off-centre Pathways in a Retino-Geniculate Spiking Neural Network on SpiNNaker. NER 2021: 461-464 - [i4]Mahak Kothari, Swapna Sasi, Jun Chen, Elham Zareian, Basabdatta Sen Bhattacharya:
Bayesian Optimisation for a Biologically Inspired Population Neural Network. CoRR abs/2104.05989 (2021) - [i3]Shriya T. P. Gupta, Basabdatta Sen Bhattacharya:
Implementing a foveal-pit inspired filter in a Spiking Convolutional Neural Network: a preliminary study. CoRR abs/2105.14326 (2021) - [i2]Shriya T. P. Gupta, Pablo Linares-Serrano, Basabdatta Sen Bhattacharya, Teresa Serrano-Gotarredona:
Foveal-pit inspired filtering of DVS spike response. CoRR abs/2105.14331 (2021) - [i1]Rohan Deepak Ajwani, Arshika Lalan, Basabdatta Sen Bhattacharya, Joy Bose:
Sparse Distributed Memory using Spiking Neural Networks on Nengo. CoRR abs/2109.03111 (2021) - 2020
- [c15]Sugam Budhraja, Basabdatta Sen Bhattacharya, Simon Durrant, Zohreh Gholami Doborjeh, Maryam Gholami Doborjeh, Nikola K. Kasabov:
Sleep Stage Classification using NeuCube on SpiNNaker: a Preliminary Study. IJCNN 2020: 1-8 - [c14]Shriya T. P. Gupta, Basabdatta Sen Bhattacharya:
Implementing a foveal-pit inspired filter in a Spiking Convolutional Neural Network: a preliminary study. IJCNN 2020: 1-8
2010 – 2019
- 2018
- [j9]Basabdatta Sen Bhattacharya, Sebastian S. James, Oliver Rhodes, Indar Sugiarto, Andrew Rowley, Alan B. Stokes, Kevin N. Gurney, Steve B. Furber:
Building a Spiking Neural Network Model of the Basal Ganglia on SpiNNaker. IEEE Trans. Cogn. Dev. Syst. 10(3): 823-836 (2018) - [c13]Elham Zareian, Jun Chen, Louise O'Hare, Basabdatta Sen Bhattacharya, Timothy J. Gordon:
Interpretable Fuzzy Rule-Based Systems for Classification of Multi-class EEG Data. SMC 2018: 4224-4229 - 2017
- [c12]Madhuleena Dasgupta, Basabdatta Sen Bhattacharya, Atulya Nagar:
Linking Brainstem Cholinergic Input to Thalamocortical Circuitry. SocProS (1) 2017: 375-386 - 2016
- [j8]Basabdatta Sen Bhattacharya, Thomas P. Bond, Louise O'hare, Daniel Turner, Simon J. Durrant:
Causal Role of Thalamic Interneurons in Brain State Transitions: A Study Using a Neural Mass Model Implementing Synaptic Kinetics. Frontiers Comput. Neurosci. 10: 115 (2016) - [j7]Maciej Labecki, Rafal Kus, Alicja Brzozowska, Tadeusz Stacewicz, Basabdatta Sen Bhattacharya, Piotr Suffczynski:
Nonlinear Origin of SSVEP Spectra - A Combined Experimental and Modeling Study. Frontiers Comput. Neurosci. 10: 129 (2016) - [j6]Atulya K. Nagar, Manmath Narayan Sahoo, Sambit Bakshi, Basabdatta Sen Bhattacharya:
Introduction to special issue on 'Recent Computing Paradigms, Network Protocols, and Applications'. Innov. Syst. Softw. Eng. 12(3): 161-162 (2016) - [c11]Elham Zareian, Jun Chen, Basabdatta Sen Bhattacharya:
A Robust Evolutionary Optimisation Approach for Parameterising a Neural Mass Model. ICANN (2) 2016: 225-234 - 2015
- [c10]Pratyusha Das, Arup Kumar Sadhu, Amit Konar, Basabdatta Sen Bhattacharya, Atulya K. Nagar:
Adaptive Parameterized AdaBoost Algorithm with application in EEG Motor Imagery Classification. IJCNN 2015: 1-8 - [c9]Reshma Kar, Amit Konar, Aruna Chakraborty, Basabdatta Sen Bhattacharya, Atulya K. Nagar:
EEG source localization by memory network analysis of subjects engaged in perceiving emotions from facial expressions. IJCNN 2015: 1-8 - [c8]Anuradha Saha, Amit Konar, Basabdatta Sen Bhattacharya, Atulya K. Nagar:
EEG classification to determine the degree of pleasure levels in touch-perception of human subjects. IJCNN 2015: 1-8 - [c7]Anuradha Saha, Amit Konar, Pratyusha Das, Basabdatta Sen Bhattacharya, Atulya K. Nagar:
Data-point and feature selection of motor imagery EEG signals for neural classification of cognitive tasks in car-driving. IJCNN 2015: 1-8 - 2014
- [p1]Basabdatta Sen Bhattacharya, Neslihan Serap Sengör, Yüksel Çakir, Liam P. Maguire, Damien Coyle:
Spectral and Non-linear Analysis of Thalamocortical Neural Mass Model Oscillatory Dynamics. Advanced Computational Approaches to Biomedical Engineering 2014: 87-112 - 2013
- [j5]Basabdatta Sen Bhattacharya:
Implementing the cellular mechanisms of synaptic transmission in a neural mass model of the thalamo-cortical circuitry. Frontiers Comput. Neurosci. 7: 81 (2013) - [j4]Basabdatta Sen Bhattacharya, Yüksel Çakir, Neslihan Serap Sengör, Liam P. Maguire, Damien Coyle:
Model-based bifurcation and power spectral analyses of thalamocortical alpha rhythm slowing in Alzheimer's Disease. Neurocomputing 115: 11-22 (2013) - 2012
- [j3]Basabdatta Sen Bhattacharya, Damien Coyle, Liam P. Maguire:
Assessing Alpha Band Event-related Synchronisation/Desynchronisation Using a Bio-Inspired Computational Model. J. Univers. Comput. Sci. 18(13): 1888-1904 (2012) - [c6]Basabdatta Sen Bhattacharya, Damien Coyle, Liam P. Maguire, Jill Stewart:
Kinetic Modelling of Synaptic Functions in the Alpha Rhythm Neural Mass Model. ICANN (1) 2012: 645-652 - 2011
- [j2]Basabdatta Sen Bhattacharya, Damien Coyle, Liam P. Maguire:
A thalamo-cortico-thalamic neural mass model to study alpha rhythms in Alzheimer's disease. Neural Networks 24(6): 631-645 (2011) - [c5]Basabdatta Sen Bhattacharya, Damien Coyle, Liam P. Maguire:
Assessing retino-geniculo-cortical connectivities in Alzheimer's Disease with a neural mass model. CCMB 2011: 159-163 - 2010
- [j1]Basabdatta Sen Bhattacharya, Stephen B. Furber:
Biologically inspired means for rank-order encoding images: a quantitative analysis. IEEE Trans. Neural Networks 21(7): 1087-1099 (2010) - [c4]Basabdatta Sen Bhattacharya, Damien Coyle, Liam P. Maguire:
Intra- and inter-connectivity influences on event related changes in thalamocortical alpha rhythms. BIC-TA 2010: 1685-1692 - [c3]Basabdatta Sen Bhattacharya, Damien Coyle, Liam P. Maguire:
Thalamocortical circuitry and alpha rhythm slowing: An empirical study based on a classic computational model. IJCNN 2010: 1-7
2000 – 2009
- 2009
- [c2]Basabdatta Sen Bhattacharya, Steve B. Furber:
Evaluating rank-order code performance using a biologically-derived retinal model. IJCNN 2009: 2867-2874 - 2008
- [b1]Basabdatta B. Sen:
Information recovery from rank-order encoded images. University of Manchester, UK, 2008 - 2007
- [c1]Basabdatta Sen Bhattacharya, Stephen B. Furber:
Maximising information recovery from rank-order codes. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2007: 65700C
Coauthor Index
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