Basabdatta Sen Bhattacharya

Vibhav Sinai Pissurlenkar

CoRR, 2023

In Silico Study of Single Synapse Dynamics Using a Three-State Kinetic Model.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Mixed-Mode Response of Nigral Dopaminergic Neurons: An in Silico Study on SpiNNaker.

[BibT_eX]

[DOI]

Pavan Kumar Enuganti

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Robustness of Biologically-Inspired Filter-Based ConvNet to Signal Perturbation.

[BibT_eX]

[DOI]

Akhilesh Adithya

Michael Hopkins

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022

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

[BibT_eX]

[DOI]

Neurocomputing, 2022

Optimising hyperparameter search in a visual thalamocortical pathway model.

[BibT_eX]

[DOI]

Taher Yunus Lilywala

Proceedings of the International Joint Conference on Neural Networks, 2022

Instrumental Conditioning with Neuromodulated Plasticity on SpiNNaker.

[BibT_eX]

[DOI]

Pavan Kumar Enuganti

Christian Y. A. Brenninkmeijer

Andrew Gait

Andrew Rowley

Donal K. Fellows

Stephen B. Furber

Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021

Sparse Distributed Memory using Spiking Neural Networks on Nengo.

[BibT_eX]

[DOI]

Rohan Deepak Ajwani

Arshika Lalan

Joy Bose

CoRR, 2021

Bayesian Optimisation for a Biologically Inspired Population Neural Network.

[BibT_eX]

[DOI]

CoRR, 2021

On- and Off-centre Pathways in a Retino-Geniculate Spiking Neural Network on SpiNNaker.

[BibT_eX]

[DOI]

Teresa Serrano-Gotarredona

Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

Quantifying Synchronization in a Biologically Inspired Neural Network.

[BibT_eX]

[DOI]

Pranav Mahajan

Advait Rane

Teresa Serrano-Gotarredona

Proceedings of the International Joint Conference on Neural Networks, 2021

A Reduced-Scale Cortical Network with Izhikevich's Neurons on SpiNNaker.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Foveal-pit inspired filtering of DVS spike response.

[BibT_eX]

[DOI]

Shriya T. P. Gupta

Pablo Linares-Serrano

Teresa Serrano-Gotarredona

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.

[BibT_eX]

[DOI]

Shriya T. P. Gupta

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Sleep Stage Classification using NeuCube on SpiNNaker: a Preliminary Study.

[BibT_eX]

[DOI]

Sugam Budhraja

Simon Durrant

Zohreh Gholami Doborjeh

Maryam Gholami Doborjeh

Nikola K. Kasabov

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2018

Building a Spiking Neural Network Model of the Basal Ganglia on SpiNNaker.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., 2018

Interpretable Fuzzy Rule-Based Systems for Classification of Multi-class EEG Data.

[BibT_eX]

[DOI]

Elham Zareian

Jun Chen

Louise O'Hare

Timothy J. Gordon

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

2017

Linking Brainstem Cholinergic Input to Thalamocortical Circuitry.

[BibT_eX]

[DOI]

Madhuleena Dasgupta

Atulya Nagar

Proceedings of the Soft Computing for Problem Solving, 2017

2016

Introduction to special issue on 'Recent Computing Paradigms, Network Protocols, and Applications'.

[BibT_eX]

[DOI]

Manmath Narayan Sahoo

Sambit Bakshi

Innov. Syst. Softw. Eng., 2016

Nonlinear Origin of SSVEP Spectra - A Combined Experimental and Modeling Study.

[BibT_eX]

[DOI]

Piotr Suffczynski

Frontiers Comput. Neurosci., 2016

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

[BibT_eX]

[DOI]

Frontiers Comput. Neurosci., 2016

A Robust Evolutionary Optimisation Approach for Parameterising a Neural Mass Model.

[BibT_eX]

[DOI]

Elham Zareian

Jun Chen

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.

[BibT_eX]

[DOI]

Anuradha Saha

Pratyusha Das

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.

[BibT_eX]

[DOI]

Anuradha Saha

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.

[BibT_eX]

[DOI]

Reshma Kar

Aruna Chakraborty

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Adaptive Parameterized AdaBoost Algorithm with application in EEG Motor Imagery Classification.

[BibT_eX]

[DOI]

Pratyusha Das

Arup Kumar Sadhu

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Spectral and Non-linear Analysis of Thalamocortical Neural Mass Model Oscillatory Dynamics.

[BibT_eX]

[DOI]

Neslihan Serap Sengör

Yüksel Çakir

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.

[BibT_eX]

[DOI]

Yüksel Çakir

Neslihan Serap Sengör

Neurocomputing, 2013

Implementing the cellular mechanisms of synaptic transmission in a neural mass model of the thalamo-cortical circuitry.

[BibT_eX]

[DOI]

Frontiers Comput. Neurosci., 2013

2012

Assessing Alpha Band Event-related Synchronisation/Desynchronisation Using a Bio-Inspired Computational Model.

[BibT_eX]

[DOI]

J. Univers. Comput. Sci., 2012

Kinetic Modelling of Synaptic Functions in the Alpha Rhythm Neural Mass Model.

[BibT_eX]

[DOI]

Jill Stewart

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.

[BibT_eX]

[DOI]

Neural Networks, 2011

Assessing retino-geniculo-cortical connectivities in Alzheimer's Disease with a neural mass model.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE Symposium on Computational Intelligence, 2011

2010

Biologically inspired means for rank-order encoding images: a quantitative analysis.

[BibT_eX]

[DOI]

Stephen B. Furber

IEEE Trans. Neural Networks, 2010

Thalamocortical circuitry and alpha rhythm slowing: An empirical study based on a classic computational model.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2010

Intra- and inter-connectivity influences on event related changes in thalamocortical alpha rhythms.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Steve B. Furber

Proceedings of the International Joint Conference on Neural Networks, 2009

2008

Information recovery from rank-order encoded images.

[BibT_eX]

[DOI]

Basabdatta B. Sen

PhD thesis, 2008

2007

Maximising information recovery from rank-order codes.

[BibT_eX]

[DOI]