Maximising information recovery from rank-order codes. - Basabdatta Sen Bhattacharya; Stephen B. Furber (Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security, 2007)

Information recovery from rank-order encoded images. - Basabdatta B. Sen (2008)

Evaluating rank-order code performance using a biologically-derived retinal model. - Basabdatta Sen Bhattacharya; Steve B. Furber (IJCNN, 2009)

Intra- and inter-connectivity influences on event related changes in thalamocortical alpha rhythms. - Basabdatta Sen Bhattacharya; Damien Coyle; Liam P. Maguire (BIC-TA, 2010)

Thalamocortical circuitry and alpha rhythm slowing: An empirical study based on a classic computational model. - Basabdatta Sen Bhattacharya; Damien Coyle; Liam P. Maguire (IJCNN, 2010)

Biologically inspired means for rank-order encoding images: a quantitative analysis. - Basabdatta Sen Bhattacharya; Stephen B. Furber (IEEE Trans. Neural Networks, 2010)

Assessing retino-geniculo-cortical connectivities in Alzheimer's Disease with a neural mass model. - Basabdatta Sen Bhattacharya; Damien Coyle; Liam P. Maguire (CCMB, 2011)

A thalamo-cortico-thalamic neural mass model to study alpha rhythms in Alzheimer's disease. - Basabdatta Sen Bhattacharya; Damien Coyle; Liam P. Maguire (Neural Networks, 2011)

Kinetic Modelling of Synaptic Functions in the Alpha Rhythm Neural Mass Model. - Basabdatta Sen Bhattacharya; Damien Coyle; Liam P. Maguire; Jill Stewart (ICANN (1), 2012)

Assessing Alpha Band Event-related Synchronisation/Desynchronisation Using a Bio-Inspired Computational Model. - Basabdatta Sen Bhattacharya; Damien Coyle; Liam P. Maguire (J. Univers. Comput. Sci., 2012)

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

Model-based bifurcation and power spectral analyses of thalamocortical alpha rhythm slowing in Alzheimer's Disease. - Basabdatta Sen Bhattacharya; Yüksel Çakir; Neslihan Serap Sengör; Liam P. Maguire; Damien Coyle (Neurocomputing, 2013)

Spectral and Non-linear Analysis of Thalamocortical Neural Mass Model Oscillatory Dynamics. - Basabdatta Sen Bhattacharya; Neslihan Serap Sengör; Yüksel Çakir; Liam P. Maguire; Damien Coyle (Advanced Computational Approaches to Biomedical Engineering, 2014)

Adaptive Parameterized AdaBoost Algorithm with application in EEG Motor Imagery Classification. - Pratyusha Das; Arup Kumar Sadhu; Amit Konar; Basabdatta Sen Bhattacharya; Atulya K. Nagar (IJCNN, 2015)

EEG source localization by memory network analysis of subjects engaged in perceiving emotions from facial expressions. - Reshma Kar; Amit Konar; Aruna Chakraborty; Basabdatta Sen Bhattacharya; Atulya K. Nagar (IJCNN, 2015)

EEG classification to determine the degree of pleasure levels in touch-perception of human subjects. - Anuradha Saha; Amit Konar; Basabdatta Sen Bhattacharya; Atulya K. Nagar (IJCNN, 2015)

Data-point and feature selection of motor imagery EEG signals for neural classification of cognitive tasks in car-driving. - Anuradha Saha; Amit Konar; Pratyusha Das; Basabdatta Sen Bhattacharya; Atulya K. Nagar (IJCNN, 2015)

A Robust Evolutionary Optimisation Approach for Parameterising a Neural Mass Model. - Elham Zareian; Jun Chen 009; Basabdatta Sen Bhattacharya (ICANN (2), 2016)

Causal Role of Thalamic Interneurons in Brain State Transitions: A Study Using a Neural Mass Model Implementing Synaptic Kinetics. - Basabdatta Sen Bhattacharya; Thomas P. Bond; Louise O'hare; Daniel Turner; Simon J. Durrant (Frontiers Comput. Neurosci., 2016)

Nonlinear Origin of SSVEP Spectra - A Combined Experimental and Modeling Study. - Maciej Labecki; Rafal Kus; Alicja Brzozowska; Tadeusz Stacewicz; Basabdatta Sen Bhattacharya; Piotr Suffczynski (Frontiers Comput. Neurosci., 2016)

Introduction to special issue on 'Recent Computing Paradigms, Network Protocols, and Applications'. - Atulya K. Nagar; Manmath Narayan Sahoo; Sambit Bakshi; Basabdatta Sen Bhattacharya (Innov. Syst. Softw. Eng., 2016)

Linking Brainstem Cholinergic Input to Thalamocortical Circuitry. - Madhuleena Dasgupta; Basabdatta Sen Bhattacharya; Atulya Nagar (SocProS (1), 2017)

Interpretable Fuzzy Rule-Based Systems for Classification of Multi-class EEG Data. - Elham Zareian; Jun Chen 009; Louise O'Hare; Basabdatta Sen Bhattacharya; Timothy J. Gordon (SMC, 2018)

Building a Spiking Neural Network Model of the Basal Ganglia on SpiNNaker. - Basabdatta Sen Bhattacharya; Sebastian S. James; Oliver Rhodes; Indar Sugiarto; Andrew Rowley; Alan B. Stokes; Kevin N. Gurney; Steve B. Furber (IEEE Trans. Cogn. Dev. Syst., 2018)

Sleep Stage Classification using NeuCube on SpiNNaker: a Preliminary Study. - Sugam Budhraja; Basabdatta Sen Bhattacharya; Simon Durrant; Zohreh Gholami Doborjeh; Maryam Gholami Doborjeh; Nikola K. Kasabov (IJCNN, 2020)

Implementing a foveal-pit inspired filter in a Spiking Convolutional Neural Network: a preliminary study. - Shriya T. P. Gupta; Basabdatta Sen Bhattacharya (IJCNN, 2020)

Foveal-pit inspired filtering of DVS spike response. - Shriya T. P. Gupta; Pablo Linares-Serrano; Basabdatta Sen Bhattacharya; Teresa Serrano-Gotarredona (CISS, 2021)

A Reduced-Scale Cortical Network with Izhikevich's Neurons on SpiNNaker. - Chinmay Chiplunkar; Nishant Gautam; Ishita Mediratta; Andrew Gait; Sujith Thomas; Andrew Rowley; Teresa Serrano-Gotarredona; Basabdatta Sen Bhattacharya (IJCNN, 2021)

Quantifying Synchronization in a Biologically Inspired Neural Network. - Pranav Mahajan; Advait Rane; Swapna Sasi; Basabdatta Sen Bhattacharya (IJCNN, 2021)

On- and Off-centre Pathways in a Retino-Geniculate Spiking Neural Network on SpiNNaker. - Basabdatta Sen Bhattacharya; Teresa Serrano-Gotarredona (NER, 2021)

Bayesian Optimisation for a Biologically Inspired Population Neural Network. - Mahak Kothari; Swapna Sasi; Jun Chen 009; Elham Zareian; Basabdatta Sen Bhattacharya (CoRR, 2021)

Sparse Distributed Memory using Spiking Neural Networks on Nengo. - Rohan Deepak Ajwani; Arshika Lalan; Basabdatta Sen Bhattacharya; Joy Bose (CoRR, 2021)

Instrumental Conditioning with Neuromodulated Plasticity on SpiNNaker. - Pavan Kumar Enuganti; Basabdatta Sen Bhattacharya; Andrew Gait; Andrew Rowley; Christian Y. A. Brenninkmeijer; Donal K. Fellows; Stephen B. Furber (ICONIP (2), 2022)

Optimising hyperparameter search in a visual thalamocortical pathway model. - Swapna Sasi; Taher Yunus Lilywala; Basabdatta Sen Bhattacharya (IJCNN, 2022)

Phase entrainment by periodic stimuli in silico: A quantitative study. - Swapna Sasi; Basabdatta Sen Bhattacharya (Neurocomputing, 2022)

Robustness of Biologically-Inspired Filter-Based ConvNet to Signal Perturbation. - Akhilesh Adithya; Basabdatta Sen Bhattacharya; Michael Hopkins (ICANN (10), 2023)

Mixed-Mode Response of Nigral Dopaminergic Neurons: An in Silico Study on SpiNNaker. - Pavan Kumar Enuganti; Basabdatta Sen Bhattacharya (ICANN (5), 2023)

In Silico Study of Single Synapse Dynamics Using a Three-State Kinetic Model. - Swapna Sasi; Basabdatta Sen Bhattacharya (ICANN (2), 2023)

Assistive Chatbots for healthcare: a succinct review. - Basabdatta Sen Bhattacharya; Vibhav Sinai Pissurlenkar (CoRR, 2023)

Neural mass modelling of brain stimulation to Alleviate Schizophrenia biomarkers in brain rhythms. - Swapna Sasi; Basabdatta Sen Bhattacharya; Vanteemar S. Sreeraj; Ganesan Venkatasubramanian (Comput. Biol. Medicine, 2025)

ePAMeT: evolving predictive associative memories for time series. - Iman Abouhassan; Nikola K. Kasabov; Tanmay Bankar; Rishabh Garg; Basabdatta Sen Bhattacharya (Evol. Syst., 2025)

Neuromorphic Computing and Applications: A Topical Review. - Pavan Kumar Enuganti; Basabdatta Sen Bhattacharya; Teresa Serrano-Gotarredona; Oliver Rhodes (WIREs Data. Mining. Knowl. Discov., 2025)