Publications
PEER REVIEWED/in reivew (2019 - PRESENT)
2025
Swapna Sasi; Basabdatta Sen Bhattacharya; Vanteemar S Sreeraj; Ganesan Venkatasubramanian, "Neural Mass Modelling of Brain Stimulation to Alleviate Schizophrenia Biomarkers in Brain Rhythms", Computers in Biology and Medicine,Vol 192, Part A, 2025. [doi] [link] (Scimago: Q1, Impact Factor 2023: 7)
Enuganti Pavan Kumar, Basabdatta Sen Bhattacharya,"Modelling Reinforcement Learning in the Basal Ganglia: A Neuromodulated Approach on SpiNNaker", (Accepted - Oral Presentation) International Joint Conference on Neural Networks (IJCNN), Rome, July 2025. (Core Rank B)
Enuganti Pavan Kumar, Basabdatta Sen Bhattacharya, Teresa Serrano Gotarredona, Oliver Rhodes, "Neuromorphic Computing and Applications: A Topical Review", WIREs Data Mining and Knowledge Discovery, (In Production), 2025. (Scimago: Q1, Impact Factor 2023: 7.8)
Iman AbouHassan, Nikola K. Kasabov, Tanmay Bankar, Rishabh Garg, Basabdatta Sen Bhattacharya, ePAMeT: evolving predictive associative memories for time series. Evolving Systems, vol 16, no 1, February 2025 [Link] (Scimago: Q2, Impact Factor 2023: 2.7)
2024
Swapna Sasi, "In silico modelling of brain rhythms with a focus on biomarkers of Schizophrenia". PhD Thesis, Brain Inspired Neural Networks (BiNN) Lab, Department of Computer Science and Information Systems, BITS Pilani K K Birla Goa Campus, Goa, India, May 2024. [Link]
2023
Adithya, A., Sen Bhattacharya, B., & Hopkins, M. (September 2023). Robustness of Biologically-Inspired Filter-Based ConvNet to Signal Perturbation. In L. Iliadis, A. Papaleonidas, P. Angelov, & C. Jayne (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2023 (pp. 394–406). Springer-Verlag Switzerland. https://doi.org/10.1007/978-3-031-44204-9_33
Sasi, S., & Sen Bhattacharya, B. (September 2023). In Silico Study of Single Synapse Dynamics Using a Three-State Kinetic Model. In L. Iliadis, A. Papaleonidas, P. Angelov, & C. Jayne (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2023 (pp. 385–396). Springer-Verlag Switzerland. https://doi.org/10.1007/978-3-031-44210-0_31
Enuganti, P. K., & Sen Bhattacharya, B. (September 2023). Mixed-Mode Response of Nigral Dopaminergic Neurons: An in Silico Study on SpiNNaker. In L. Iliadis, A. Papaleonidas, P. Angelov, & C. Jayne (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2023 (pp. 363–374). Springer-Verlag Switzerland. https://doi.org/10.1007/978-3-031-44192-9_29
2022
Enuganti Pavan Kumar, Basabdatta Sen Bhattacharya, Andrew Gait, Andrew Rowley, Christian Brenninkmeijer, Donal K. Fellows, Stephen B. Furber, "Instrumental conditioning with neuromodulated plasticity on SpiNNaker", Springer Lecture Notes in Computer Science (LNCS), Proceedings of the 29th APPNS International Conference on Neural Information Processing (ICONIP) 2022, Virtual, November 2022.
Famida N. Chowdhury, Basabdatta Sen Bhattacharya, Galia Marinova, Ella Magdalena Ciuperca, Hye-Kyung Cho, Ille C. Gebeshuber, Angela Faragasso, "Women in STEM: snapshots from a few Asian countries", Proceedings of the 21st IFAC Conference on Technology, Culture and International Stability (TECIS) 2022, Prishtina, Kosovo, October 2022. Open Access: Elsevier IFAC PapersOnLine Vol. 55, Issue 39, (2022) pp. 204–209 [doi] [ScienceDirect]
Swapna Sasi, Taher Yunus Lillywala, Basabdatta Sen Bhattacharya, "Optimising hyperparameters in a population neural network of the visual thalamocortical pathway", In Proceedings of the IEEE International Joint Conference of Neural Networks, (IJCNN), Padua, Italy, July 2022, pp. 1-8, doi: 10.1109/IJCNN55064.2022.9892380 [IEEE Xplore]
Swapna Sasi, Basabdatta Sen Bhattacharya, "In silico effects of synaptic connections in the visual thalamocortical pathway " , Frontiers in Medical Technology, April 2022. [doi] [link] (Scimago: Q1, Impact Factor: 2.7)
Basabdatta Sen Bhattacharya, Aiswarya Subramanian, Purbayan Chatterjee, Sounak Dey, "Spoken digits in Hindi and Indian English (HindIE)", Web Download Philadelphia: Linguistic Data Consortium, February 2022. [doi] [link]
Swapna Sasi, Basabdatta Sen Bhattacharya, "Phase Entrainment by Periodic Stimuli In Silico: A Quantitative Study", Neurocomputing, vol 469, January 2022. [doi] [link] (Scimago: Q1, Impact Factor: 5.5)
2021
Basabdatta Sen Bhattacharya, , "Book Review: Ranking: The unwritten rules of the social games we all play", Frontiers in Psychology , March 2021. 10.3389/fpsyg. 2021.605886 [link]
Fahmida N Chowdhury, Galia Marinova, Ella Ciuperca, Basabdatta Sen Bhattacharya, Mary Doyle-Kent, "The State of Play in Diversity and Inclusion in STEM – a Review of Empirical Evidence, Focusing on Gender", In Proceedings: 20th IFAC Conference on Technology, Culture and International Stability (TECIS), 14-17 September, pp. 1-6, International Federation of Automatic Control (IFAC), 2021. [link]
Pranav Mahajan, Advait Rane, Swapna Sasi, Basabdatta Sen Bhattacharya, "Quantifying Synchronization in a Biologically Inspired Neural Network", In Proceedings: International Joint Conference on Neural Networks (IJCNN), July, pp. 1-6, IEEE, 2021. 10.1109/IJCNN52387.2021.9533414 [link]
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", In Proceedings: International Joint Conference on Neural Networks (IJCNN), July, pp. 1-8, IEEE, 2021. 10.1109/IJCNN52387.2021.9534244 [link]
Basabdatta Sen Bhattacharya, Teresa Serrano Gottaredona, "On- and Off-centre Pathways in a Retino-Geniculate Spiking Neural Network on SpiNNaker", In Proceedings: 10th International IEEE EMBS Conference on Neural Engineering (NER), 5th May, pp. 461-464, IEEE, 2021. 10.1109/NER49283.2021.9441462 [link]
Shriya T.P. Gupta, Pablo llinares Serrano, Basabdatta Sen Bhattacharya, Teresa Serrano Gottaredona, "Foveal-pit inspired filtering of DVS spike response", In Proceedings: 55th Annual Conference on Information Sciences and Systems (CISS), 26th March, pp. 1-6, IEEE, 2021. 10.1109/CISS50987.2021.9400245 [link]
Swapna Sasi, Basabdatta Sen Bhattacharya, "Study of the thalamocortical dynamics in the visual pathway using in silico model", In Proceedings: Bernstein Conference, pp. P29, Virtual Conference, 22nd September 2021. doi:10.12751/nncn.bc2021.p029 [link]
Rohan Deepak Ajwani, Arshika Lalan, Basabdatta Sen Bhattacharya, Joy Bose, "Sparse Distributed Memory using Spiking Neural Networks on Nengo", In Proceedings: Bernstein Conference, pp. P132, Virtual Conference, 23rd September 2021. doi:10.12751/nncn.bc2021.p132 [link]
2020
Petrut Bogdan, Robert James, Gabriel Fonseca Guerra, Garibaldi Pineda Garcia, Basabdatta Sen-Bhattacharya, "Applications --- Doing Stuff on the Machine", In: SpiNNaker: A Spiking Neural Network Architecture, (Eds.) Steve Furber, Petrut Bogdan, pp. 127-159, Boston-Delft: now publishers, March, 2020. 10.1561/9781680836530.ch5 [link]
Shriya T.P. Gupta, Basabdatta Sen Bhattacharya, "Implementing a foveal-pit inspired filter in a Spiking Convolutional Neural Network: a preliminary study", In Proceedings: International Joint Conference on Neural Networks (IJCNN), Glasgow, UK, pp. 1-8, IEEE, 2020. 10.1109/IJCNN48605.2020.9207612 [link]
Sugam Budhraja, Basabdatta Sen Bhattacharya, Simon Durrant, Zohreh Doborjeh, Maryam Doborjeh, Nikola Kasabov, "Sleep Stage Classification using NeuCube on SpiNNaker: a Preliminary Study", In Proceedings: International Joint Conference on Neural Networks (IJCNN), pp. 1-8, IEEE, 2020. 10.1109/IJCNN48605.2020.9207369 [link]
Pranav Mahajan, Advait P. Rane, Swapna Sasi, Basabdatta Sen Bhattacharya, "Phase Synchronisation in a thalamocortical neural mass model", In Proceedings: Bernstein Conference, pp. P175, Virtual Conference, October 2020. doi:10.12751/nncn.bc2020.0191 [link]
2019
Sarvesh S. Kakodkar, Basabdatta Sen Bhattacharya, "Experimenting with speech recognition on the SpiNNaker Machine: a work in progress", Poster Presentation at the Advances in Data Science Meet, Manchester, UK, May 2019. [link]
Arxiv (2019 - PRESENT)
Basabdatta Sen Bhattacharya, Vibhav Sinai Pissurlenkar, "Assistive Chatbots for healthcare: a succinct review, Arxiv Preprint, https://doi.org/10.48550/arXiv.2308.04178 [link], August 2023.
Mahak Kothari and Swapna Sasi and Jun Chen and Elham Zareian and Basabdatta Sen Bhattacharya, "Bayesian Optimisation for a Biologically Inspired Population Neural Network", [link] [q-bio.QM], eprint: 2104.05989, 2021.
Rohan Deepak Ajwani, Arshika Lalan, Basabdatta Sen Bhattacharya, Joy Bose, "Sparse Distributed Memory using Spiking Neural Networks on Nengo", [link] [cs.NE], eprint: 2109.03111, 2021.
PEER REVIEWED PUBLICATIONS OF PI
(2006-2018)
Journal
Basabdatta Sen-Bhattacharya, Sebastian James, Oliver Rhodes, Indar Sugiarto, Andrew Rowley, Alan B. Stokes, Kevin Gurney, Steve B. Furber, "Building a spiking neural network model of the Basal Ganglia on SpiNNaker", IEEE Transactions on Cognitive and Developmental Systems, vol. 10 (3), pp 823-836, September 2018. [doi] [open access]
Basabdatta Sen Bhattacharya, Teresa Serrano-Gotarredona, Lorinc Balassa, Akash Bhattacharya, Alan B. Stokes, Andrew Rowley, Indar Sugiarto, Steve B. Furber, "A spiking neural network model of the Lateral Geniculate Nucleus on the SpiNNaker machine", Frontiers in Neuroscience, vol. 11 (454), 2017. [open access] (ModelDB accession no. 234118)
Maciej Labecki, Rafal Kus, Alicja Brzozowska, Tadeusz Stacewicz, Basabdatta Sen Bhattacharya and Piotr Suffczynski, "Nonlinear origin of SSVEP spectra – a combined experimental and modelling study", Frontiers in Computational Neuroscience, vol. 10 (129), 2016. [doi][open access]
Basabdatta Sen Bhattacharya, Tom 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 in Computational Neuroscience, vol. 10 (115), 2016. [doi] [open access]
Basabdatta Sen Bhattacharya, Cameron Patterson, Francesco Galluppi, Simon J. Durrant, Stephen B. Furber, "Engineering a thalamo-cortico-thalamic circuit on SpiNNaker: a preliminary study towards modelling sleep and wakefulness", Frontiers in Neural Circuits, vol. 8 (46), 2014. [open access]
Basabdatta Sen Bhattacharya, "Implementing the cellular mechanisms of synaptic transmission in a neural mass model of the thalamo-cortical circuitry", Frontiers in Computational Neuroscience, vol. 7 (81), 2013. [open access]
Basabdatta Sen Bhattacharya, Yuksel Cakir, Neslihan Serap-Sengor, Liam Maguire, Damien Coyle, "Model-based Bifurcation and Power Spectral Analyses of Thalamocortical Alpha Rhythm Slowing in Alzheimer's Disease", Neurocomputing, vol. 115, pp. 11-22, Sep. 2013. [doi]
Basabdatta Sen Bhattacharya, Damien Coyle, Liam Maguire, "Assessing alpha band event-related synchronisation/desynchronisation with a mutually coupled thalamo-cortical circuitry model", Journal of Universal Computer Science, vol. 18 (13), pp. 1888-1904, 2012. [doi][open access]
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 Vol. 24(6), pp. 631-645, Aug. 2011. [doi](ModelDB accession no. 138970)
Basabdatta Sen Bhattacharya, Stephen B. Furber, "Biologically-inspired means for rank-order encoding images: a quantitative analysis", IEEE Transactions on Neural Networks, vol.21 (7), pp. 1087-1099, July 2010. [doi]
Julien Modolo, Basabdatta Sen Bhattacharya, Roderick Edwards, Julien Campagnaud, Alexadre Lagos, Anne Beuter, "Using a virtual cortical module implementing a neural field model to modulate brain rhythms in Parkinson's Disease", Frontiers in Neuroprosthetics, vol. 4, 2010. [doi] [open access]
Julien Modolo, Roderick Edwards, Julien Campagnaud, Basabdatta Sen Bhattacharya, Anne Beuter, "Past, present and future of brain stimulation" in Mathematical Modelling of Natural Phenomena, vol. 5(2) pp. 185-207, 2010. [doi] [open access]
Book (Edited Volume)
"Computational Neurology and Psychiatry" (Eds.) Peter Erdi, Basabdatta Sen Bhattacharya, Amy Cochran, In Series: Springer Series in Bio-/Neuroinformatics (Series Ed. N. Kasabov), 2017.(Springer Shop) (Amazon link) (Waterstones link)
"Validating neuro-computational models of neurological and psychiatric disorders" (Eds.) Basabdatta Sen Bhattacharya, Fahmida N. Chowdhury, In Springer Series in Computational Neuroscience (Series Eds. R. Brette, A. Destexhe), November 2015. (Springer Shop) (Bookmetrix) (Amazon Kindle Edition)
Book (Chapter)
Basabdatta Sen Bhattacharya, Amy Cochran, Peter Erdi, “Introduction" to " Computational Neurology and Psychiatry" (Eds.) Peter Erdi, Basabdatta Sen Bhattacharya, Amy Cochran, In: Springer Series in Bio-/Neuroinformatics (Series Ed. N. Kasabov), 2017. (Springer Shop) (Amazon link) (Waterstones link)
Basabdatta Sen Bhattacharya, Simon J. Durrant, “A neural mass computational framework to study synaptic mechanisms underlying alpha and theta rhythms", In: Computational Neurology and Psychiatry (Eds.) Peter Erdi, Basabdatta Sen Bhattacharya, Amy Cochran, In: Springer Series in Bio-/Neuroinformatics (Series Ed. N. Kasabov), 2017.
Basabdatta Sen Bhattacharya, Neslihan Serap-Sengor, Yuksel Cakir, Liam Maguire, Damien Coyle, "Spectral and Non-linear Analysis of Thalamocortical Neural Mass Model Oscillatory Dynamics", In: Advanced Computational Approaches to Biomedical Engineering (Eds.) P.K. Saha, S. Basu, U. Maulick, Springer Berlin Heidelberg, pp. 87-112. ISBN 978-3-642-41538-8 2014. (amazon link)
Damien Coyle, Basabdatta Sen Bhattacharya, Xin Zou, Kongfatt Wong-Lin, Kamal Abuhassan, Liam Maguire, "Neural Circuit Models and Neuropathological Oscillations", In: Handbook of Bio-/Neuro-Informatics Part-G (Ed.) Nikola Kasabov, Springer, November 2013. (amazon link)
Basabdatta Sen Bhattacharya, Damien Coyle, Liam Maguire, "Alpha and theta rhythm abnormality in Alzheimer's Disease: a study using a computational model", In: Advances in Experimental Medicine and Biology: From Brains to Systems (Eds.) C. Hernández, J. Gómez, R. Sanz, I. Alexander, L. Smith, A. Hussain, A. Chella, Volume 718, pp. 57-73, Springer New York, 2011. [pdf] (waterstones link)
Conference (Article)
Elham Zareian, Jun Chen, Louise O'Hare, Basabdatta Sen Bhattacharya, Timothy Gordon, "Interpretable Fuzzy Rule-based Systems for classification of Multi-class EEG Data", Proceedings of the IEEE conference on Systems, Man and Cybernetics (SMC), 2018, Miyazaki, Japan.
Madhuleena Dasgupta, Basabdatta Sen-Bhattacharya, Atulya Nagar, "Linking brainstem cholinergic input to thalamocortical circuitry", International Conference on Soft Computing for Problem Solving, December 2017, Bhubaneswar, India. In Book Series: Advances in Intelligent Systems and Computing, (Eds) Bansal J., Das K., Nagar A., Deep K., Ojha A, vol. 816, pp. 375 - 386, 2019, Springer, Singapore. [DOI]
Indar Sugiarto, Patrick Camilleri, Luis Plana, Steve Temple, Basabdatta Sen Bhattacharya, Steve Furber, "Profiling a many-core neuromorphic platform", Proc. 11th IEEE International conference on Application of Information and Communication Technologies (AICT), Vol 2, pp 42-47, September 2017, Moscow.
Elham Zareian, Jun Chen, Basabdatta Sen Bhattacharya, "A Robust Evolutionary Optimisation Approach for Parameterising a Neural Mass Model", In: Artificial Neural Networks and Machine Learning - ICANN 2016 , Part II, (Eds.) A. P. Villa, P. Masulli and A.J. Pons Rivero, In Book Series: Lecture Notes in Computer Science (LNCS) vol. 9887, pp. 225-234, Springer, September 2016, Barcelona. [download pdf]
Anuradha Saha, Amit Konar, Basabdatta Sen Bhattacharya, Atulya Nagar, “Data-point and feature selection of motor imagery EEG signals for neural classification of cognitive tasks in car-driving”, Proc. International Joint Conference on Neural Networks (IJCNN), July 2015, Killarney.
Anuradha Saha, Amit Konar, Basabdatta Sen Bhattacharya, Atulya Nagar, “EEG classification to determine the degree of pleasure levels in touch perception of human subjects”, Proc. International Joint Conference on Neural Networks (IJCNN), July 2015, Killarney.
Basabdatta Sen Bhattacharya, Damien Coyle, Liam Maguire, Jill Stewart, "Kinetic modelling of synaptic functions in the alpha rhythm neural mass model", In: ICANN 2012, Part I, LNCS 7552, (Eds.) A.E.P. Villa et al., pp. 645-652, Springer, Heidelberg. September 2012, Lausanne. [Springer link]
Basabdatta Sen Bhattacharya, Damien Coyle, Liam Maguire, “Synaptic deficiency in AD and its implications on thalamic and cortical oscillations: a study using a neural mass model”, Proc. of the 11th UK Workshop on Computational Intelligence (UKCI), September 2011, Manchester.
Basabdatta Sen Bhattacharya, Damien Coyle, Liam Maguire, “Assessing retino-geniculo-cortical connectivities in Alzheimer's disease using a neural mass model”, Proc. of the IEEE Symposium Series on Computational Intelligence (SSCI: Cognitive Algorithms, Mind and Brain), pp. 159-163, April 2011, Paris. [IEEE Xplore link]
Basabdatta Sen Bhattacharya, Damien Coyle, Liam Maguire, “Intra- and inter-connectivity influences on event related changes in thalamocortical alpha rhythms”, Proc. of the IEEE fifth International Conference on Bio-Inspired Computing: Theories and Application, pp. 1685-1692, September 2010, Liverpool. [IEEE Xplore link]
Basabdatta Sen Bhattacharya, Damien Coyle, Liam Maguire, “Thalamocortical circuitry and alpha rhythm slowing: an empirical study based on a classic computational model”, Proc. of the International Joint Conference on Neural Networks (IJCNN at WCCI), pp. 3912-3918, July 2010, Barcelona. [IEEE Xplore link]
Basabdatta Sen Bhattacharya, Damien Coyle, Liam Maguire, “A computational modelling approach to investigate alpha rhythms slowing associated with Alzheimer's disease”, in From Brains to Systems: Preprints of the conference on Brain-Inspired Cognitive Systems, pp. 382-392, July 2010, Madrid. [ISBN 978-84-614-1869-5]
Basabdatta Sen Bhattacharya, Stephen B. Furber, “Evaluating rank-order code performance using a biologically derived retinal model”, Proc. International Joint Conference on Neural Networks (IJCNN), pp. 2867-2874, June 2009, Atlanta. [doi] [ieee Xplore]
Basabdatta Sen, Stephen B. Furber, “Maximising information recovery from rank-order codes”, Proc. SPIE 6570, Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2007, 65700C (Ed) Belur V. Dasarathy, pp. 9-13, 9th April 2007, Orlando. doi: 10.1117/12.717799. [spie.org] [Spie Digital Library]
Basabdatta Sen, Stephen B. Furber, “Information recovery from rank-order encoded images”, Proc. International Workshop on Biologically Inspired Information Fusion, pp. 8-12, August 2006, Surrey.
Conference (Abstract)
Chaitanya Medini, Basabdatta Sen Bhattacharya, Bipin Nair, Shyam Diwakar, “Comparing firing properties of two interconnected circuits to understand information processing at afferent pathways”, Poster presentation at the Integrated Systems Neuroscience (ISN) Workshop, March 2015, Manchester, UK.
Thomas P. Bond, Simon Durrant, Louise O’Hare, Daniel Turner, Basabdatta Sen Bhattacharya, “Studying the effects thalamic interneurons in a thalamocortical neural mass model”, BMC Neuroscience 2014, 15 (Suppl 1):P219 [open access] Poster presentation at the 23rd Annual Computational Neurosciences Meeting, (CNS 2014) July 2014, Quebec city, Canada. [Copy of the presented poster]
Basabdatta Sen Bhattacharya, “Combined study of time-series bifurcation and power spectral behaviour of a thalamo-cortico-thalamic neural mass model”, BMC Neuroscience 2013, 14 (Suppl 1):P18 [open access] Poster presentation at the 22nd Annual Computational Neurosciences Meeting, (CNS 2013) July 2013, Paris. [Copy of the presented poster]
Basabdatta Sen Bhattacharya, Damien Coyle, Liam Maguire, Martin McGinnity, “Abnormal brain oscillations in Alzheimer's disease: a study using a neural mass computational model”, P360 (Abstract; Poster Presentation) International Joint Conference on Neural Networks (IJCNN) July 2011, San Jose.
Basabdatta Sen Bhattacharya, Stephen B. Furber, “A biologically inspired algorithm to deal with filter-overlap in retinal models”, BMC Neuroscience 2009, 10 (Suppl 1):P126. [open access] Poster presentation at the 18th Annual Computational Neuroscience Meeting (CNS 2009), July 2009, Berlin.
PhD Thesis - University of Manchester, UK, 2008
"Information Recovery from Rank-order Encoded Images", Supervised by Prof. Stephen B. Furber, Advanced Processor Technology Group, School of Computer Science, University of Manchester, UK, March 2008.
Available at: https://apt.cs.manchester.ac.uk/people/bsen/my_thesis.pdf
Technical Report (not peer reviewed)
Understanding Steady State Visually Evoked Potential (SSVEP) for Brain-Computer-Interface (BCI) applications: A technical report to the Royal Academy of Engineering, UK, November 2015.
A neuro-computational model interfacing basal ganglia and thalamus on the SpiNNaker machine: a technical report to the Royal Academy of Engineering, UK, December 2015 (http://eprints.lincoln.ac.uk/19816/ )
Other Editorial Contributions (not peer reviewed)
"Recent Computing Paradigms, Network Protocols and Applications" (Eds.) Sambit Bakshi, Atulya Nagar, Basabdatta Sen Bhattacharya, Manmath N. Sahoo, In: Springer series on Innovations in Systems and Software Engineering – a NASA journal, vol. 12 (3), pp. 161 - 248, Springer London, September 2016. ISSN: 1614-5046 (Print) 1614-5054 (Online) [open access]
"Preface" In: "Validating neuro-computational models of neurological and psychiatric disorders" (Eds.) Basabdatta Sen Bhattacharya, Fahmida N. Chowdhury, Springer Series in Computational Neuroscience (Series Eds. R. Brette, A. Destexhe), November 2015. (Springer Shop) (Bookmetrix) (Amazon Kindle Edition)
STUDENT THESIS, REPORTS AND POSTERS
Swapna Sasi, "In silico modelling of brain rhythms with a focus on biomarkers of Schizophrenia". PhD Thesis, Brain Inspired Neural Networks Lab, Department of Computer Science and Information Systems, BITS Pilani Goa Campus, India, May 2024. [link coming soon]
Leo Barros, Isaiah D’Costa, Vaughan D’Souza, Joshua Coutinho, Duane Rodrigues, "Computer Simulation of Neuropathology in Schizophrenia", External Undergraduate thesis undertaken at the Brain Inspired Neural Networks Lab. [Link to thesis]
Aditya Agarwal,"Linking Local Field Potentials with Spikes", Undergraduate Thesis (On Campus), Brain Inspired Neural Networks Lab, Department of Computer Science and Information Systems, BITS Pilani Goa Campus, India, December 2023. [link to UG thesis]
Tanmay Bankar, "Enhancing Visualization and Interpretability in NeuCube With a Case Study on Stock Price Prediction", Undergraduate Thesis (Off Campus), Supervisor: Nik Kasabov, Knowledge Engineering and Data Research Institute (KEDRI), University of Auckland, New Zealand; Co-Supervisor: Iman Abouhassan (KEDRI), Basabdatta Sen Bhattacharya (Brain Inspired Neural Networks Lab, Department of Computer Science and Information Systems, BITS Pilani Goa Campus, India), December 2023. [link to Report]
Leo Barros, "Large Scale Brain Modelling using The Virtual Brain", Internship Report, Brain Inspired Neural Networks Lab, Department of Computer Science and Information Systems, BITS Pilani Goa Campus, India, September 2023. [link to Report] (Parent Institute: Don Bosco Engineering College, Fatorda, Goa)
Akhilesh Adithya, "Are biologically-inspired filters robust against image distortion and noise?" Technical report, Brain Inspired Neural Networks Lab, Department of Computer Science and Information Systems, BITS Pilani Goa Campus, India, December 2022. [link to Report]
Ramanathan Rajaraman, "Sparse Distributed Memory", Undergraduate Project Report, Brain Inspired Neural Networks Lab, Department of Computer Science and Information Systems, BITS Pilani Goa Campus, India, May 2022. [link to Report]
Ishita Mediratta, , "Image Classification Using the Lateral Geniculate Nucleus Model on SpiNNaker", Undergraduate Project Report, Brain Inspired Neural Networks Lab, Department of Computer Science and Information Systems, BITS Pilani Goa Campus, India, November 2019.
Enuganti Pavan Kumar, , "Backprogagation in Spiking Neurons", Master Dissertation, Brain Inspired Neural Networks Lab, Department of Computer Science and Information Systems, BITS Pilani Goa Campus, India, May 2020.
Soumyadipta Banerjee, , "Study of the modulation of SSVEP signals by image distinction & recognition processes", Masters Dissertation, Brain Inspired Neural Networks Lab, Department of Computer Science and Information Systems, BITS Pilani Goa Campus, India, May 2020.
Arkil Patel, , "Recurrent Spiking Neural Networks and their application to text based tasks", Undergraduate Project Report, Brain Inspired Neural Networks Lab, Department of Computer Science and Information Systems, BITS Pilani Goa Campus, India, May 2020.
Ishita Mediratta, Chinmay Chiplunkar, Mehul Rastogi, Sugam Budhraja, "Learning with spiking neurons on the SpiNNaker neuromorphic computer: a current review", An Undergraduate Research Review paper, Department of Computer Science & Information Systems, BITS Pilani Goa Campus,Brain Inspired Neural Networks Lab, Department of Computer Science and Information Systems, BITS Pilani Goa Campus, India, February 2020.