2025
Rohan, N. R., Vigneswaran, C., Ghosh, S., Rajendran, K., Gaurav, A., & Chakravarthy, V. S. (2025). Deep oscillatory neural network. Scientific Reports, 15(1), 40968. Link
Ghosh, S., Raja, S., & Chakravarthy, V. S. (2025). Classifier-guided Deep Oscillatory Neural Networks (cDONN) for capturing both Neural Dynamics and Behavior simultaneously. bioRxiv, 2025-06 Link
Ghosh, S., Biswas, D., Rohan, N. R., Vijayan, S., & Chakravarthy, V. S. (2025). Modeling of whole brain sleep electroencephalogram using deep oscillatory neural network. Frontiers in Neuroinformatics, 19, 1513374 Link
Ghosh, S., Chandrasekaran, V., Rohan, N. R., & Chakravarthy, V. S. (2025). Electroencephalogram (EEG) classification using a bio-inspired deep oscillatory neural network. Biomedical Signal Processing and Control, 103, 107379. Link
Ramakrishnan, S. A., Shaik, R. B., Kanagamani, T., Neppala, G., Chen, J., Fiore, V. G., ... & Parvaz, M. A. (2025). Impaired arbitration between reward-related decision-making strategies in Alcohol Users compared to Alcohol Non-Users: a computational modeling study. NPP—Digital Psychiatry and Neuroscience, 3(1), 1. Link
Ghosh, S., Reddy, T. S. K., & Chakravarthy, V. S. (2024, December). Visualizing Visual Thought using Deep Oscillatory Neural Network. In International Conference on Neural Information Processing (pp. 314-328). Singapore: Springer Nature Singapore. Link
2024
Nurani Rajagopal Rohan, Vigneswaran C, Sayan Ghosh, Kishore Rajendran, Gaurav A, V Srinivasa Chakravarthy.Deep Oscillatory Neural Network. Link
Raj S R, K., Chakravarthy V, S. & Sahoo, A. From Pixels to Prepositions: Linking Visual Perception with Spatial Prepositions Far and Near. Cogn Comput (2024). Link
Paul, Rinta, Sundari Elango, Srinivasa Chakravarthy, Aniruddha Sinha, P. R. Srijithesh, Bapi Raju, C. Kesavadas et al. "Feasibility and efficacy of virtual reality rehabilitation compared with conventional physiotherapy for upper extremity impairment due to ischaemic stroke: protocol for a randomised controlled trial." BMJ open 14, no. 7 (2024): e086556.Link
Azra Aziz, Bharat K. Patil, Kailash Lakshmikanth, Peesapati S. S. Sreeharsha, Ayan Mukhopadhyay & V. Srinivasa Chakravarthy “Modeling hippocampal spatial cells in rodents navigating in 3D environments ” Nature Scientific Reports. Link
Nair, S.S.; Chakravarthy, S. A Computational Model of Deep Brain Stimulation for Parkinson’s Disease Tremor and Bradykinesia. Brain Sci. 2024, 14, 620. Link
Elango, S., Chakravarthy, S. and Mutha, P. A lateralized motor network in order to understand adaptation to visuomotor rotation. Journal of Neural Engineering. (2024) Link
Vigneswaran, C., Nair, S.S. & Chakravarthy, V.S. A Basal Ganglia model for understanding working memory functions in healthy and Parkinson’s conditions. Cogn Neurodyn (2024). Link
Anirban Bandyopadhyay, Sayan Ghosh, Dipayan Biswas, V. Srinivasa Chakravarthy, and Raju S. Bapi. "A phenomenological model of whole brain dynamics using a network of neural oscillators with power-coupling." Scientific Reports 13, no. 1 (2023): 16935. Link
Kanagamani, Tamizharasan, V. Srinivasa Chakravarthy, Balaraman Ravindran, and Ramshekhar N. Menon. "A deep network-based model of hippocampal memory functions under normal and Alzheimer’s disease conditions." Frontiers in Neural Circuits 17, 1092933. 2023. Link
Anila Gundavarapu and Srinivasa Chakravarthy, Modeling the development of cortical responses in primate dorsal ("where") pathway to optic flow using hierarchical neural field models”, “Frontiers in Neuroscience-Visual Neuroscience”. 2023. Link
Kumar, B. S., O’Herron, P. J., Kara, P., & Chakravarthy, V. S. (2021). The development of bi-directionally coupled self-organizing neurovascular networks captures orientation-selective neural and hemodynamic cortical responses. European Journal of Neuroscience, April, 2023. Link
Kumari, S., Chandrasekaran, V., & Chakravarthy, V. S. (2023). The flip-flop neuron: a memory efficient alternative for solving challenging sequence processing and decision-making problems. Neural Computing and Applications, 1-17. Link
Nair, S. S., Muddapu, V. R., Vigneswaran, C., Balasubramani, P. P., Ramanathan, D. S., Mishra, J., & Chakravarthy, V. S. (2023). A generalized reinforcement learning based deep neural network agent model for diverse cognitive constructs. Scientific Reports, 13(1), 5928. Link
Akhil,Bonagiri;Dipayan, Biswas;V Srinivasa Chakravarthy, "Coupled Memristor Oscillators for Neuromorphic Locomotion Control: Modelling and Analysis". IEEE Transactions on Neural Networks and Learning Systems. Link
Elango, Sundari, Francis, Amal Jude Ashwin, and V. Srinivasa Chakravarthy. “Interaction of network and rehabilitation therapy parameters in defining recovery after stroke in a Bilateral Neural Network” Journal of NeuroEngineering and Rehabilitation. Link
Kumari, Sweta, VY Shobha Amala, M. Nivethithan, and V. Srinivasa Chakravarthy. "BIAS-3D: Brain inspired attentional search model fashioned after what and where/how pathways for target search in 3D environment." Frontiers in Computational Neuroscience 16 (2022). Link
Kumari, Sweta, and V. Srinivasa Chakravarthy. "Biologically inspired image classifier based on saccadic eye movement design for convolutional neural networks." Neurocomputing 513 (2022): 294-317. Link
Aziz, Azra, Peesapati SS Sreeharsha, Rohan Natesh, and Vaddadhi S. Chakravarthy. "An integrated deep learning‐based model of spatial cells that combines self‐motion with sensory information." Hippocampus 32, no. 10 (2022): 716-730. Link
Biswas, Dipayan, V. Srinivasa Chakravarthy, and Asit Tarsode. "Modelling the tonotopic map using a two-dimensional array of neural oscillators." Frontiers (2022). Link
Kumar, Bhadra S., Sarath C. Menon, Sriya R. Gayathri, and V. Srinivasa Chakravarthy. "The Influence of Neural Activity and Neural Cytoarchitecture on Cerebrovascular Arborization: A Computational Model." Frontiers in Neuroscience (2022): 933. Link
Sruthi Krishna, K. P., Nithin Puthiyaveettil, and V. Srinivasa Chakravarthy. "Simulation-assisted AI for the evaluation of thermal barrier coatings using pulsed infrared thermography." (2022). Link
Muddapu, Vignayanandam Ravindernath-Jayashree, Karthik Vijayakumar, Keerthiga Ramakrishnan, and V. Srinivasa Chakravarthy. "A Multi-Scale Computational Model of Levodopa-Induced Toxicity in Parkinson's Disease." Frontiers in neuroscience 16 (2022). Link
Nair, Sandeep Sathyanandan, Vignayanandam Ravindernath Muddapu, and V. Srinivasa Chakravarthy. "A multiscale, systems-level, neuropharmacological model of cortico-basal ganglia system for arm reaching under normal, Parkinsonian, and Levodopa medication conditions." Frontiers in computational neuroscience (2022): 122. Link
V Srinivasa Chakravarthy, Pragathi Priyadharsini Balasubramani. Basal ganglia system as an engine for exploration. Link
Muddapu, V.R., Chakravarthy, V.S. Influence of energy deficiency on the subcellular processes of Substantia Nigra Pars Compacta cell for understanding Parkinsonian neurodegeneration. Sci Rep 11, 1754 (2021). Link
Kumar, B.S., Mayakkannan, N., Manojna, N.S. et al. Artificial neurovascular network (ANVN) to study the accuracy vs. efficiency trade-off in an energy dependent neural network. Sci Rep 11, 13808 (2021). Link
Biswas, Dipayan, Sooryakiran Pallikkulath, and V. Srinivasa Chakravarthy. "A Complex-Valued Oscillatory Neural Network for Storage and Retrieval of Multidimensional Aperiodic Signals." Frontiers in computational neuroscience 15 (2021): 551111. Link
Kumar, B.S., Khot, A., Chakravarthy, V.S. and Pushpavanam, S., 2021. A network architecture for bidirectional neurovascular coupling in rat whisker barrel cortex. Frontiers in Computational Neuroscience, 15, Link
Vignayanandam R. Muddapu, & V. Srinivasa Chakravarthy (2020) A Multi-Scale Computational Model of Excitotoxic Loss of Dopaminergic Cells in Parkinson’s Disease, Frontiers in Neuroinformatics. Link
Vignayanandam R. Muddapu, Karthik Vijayakumar, Keerthiga Ramakrishnan, & V. Srinivasa Chakravarthy (2020) A Computational Model of Levodopa-Induced Toxicity in Substantia Nigra Pars Compacta in Parkinson's Disease, bioRxiv 2020.04.05.026807. Link
Vignayanandam R. Muddapu, S. Akila P. Dharshini, V. Srinivasa Chakravarthy, M. Michael Gromiha (2020) Neurodegenerative diseases -Is metabolic deficiency the root cause?, Frontiers in Neuroscience| Neurodegeneration Link
Vignayanandam R. Muddapu & V. Srinivasa Chakravarthy (2020) A Multi-Scale Computational Model of Excitotoxic Loss of Dopaminergic Cells in Parkinson's Disease. bioRxiv: 2020.02.20.957704 Link
Vignayanandam R. Muddapu & V. Srinivasa Chakravarthy (2020) Influence of Energy Deficiency on the Molecular Processes of Substantia Nigra Pars Compacta Cell for Understanding Parkinsonian Neurodegeneration - A Comprehensive Biophysical Computational Model. bioRxiv:2020.02.18.950337 Link
Pragathi Priyadharsini Balasubramani, V Srinivasa Chakravarthy. "Bipolar oscillations between positive and negative mood states in a computational model of Basal Ganglia". Link
Balasubramani, P. P., & Chakravarthy, S. (2019). Bipolar oscillations between positive and negative mood states in a computational model of Basal Ganglia. Cognitive Neurodynamics, Springer, 17412556. Link
Narayanamurthy, Rukhmani, Jayakumar, Samyukta, Elango, Sundari, Chakravarthy, Srinivasa, Muralidharan, Vignesh."A Cortico-Basal Ganglia Model for choosing an optimal rehabilitation strategy in Hemiparetic Stroke." (Accepted in Scientific Reports on 12 Aug, 2019) Link
Vignayanandam R. Muddapu, Alekhya Mandali, V. Srinivasa Chakravarthy, Srikanth Ramaswamy (2019) A computational model of loss of dopaminergic cells in Parkinson’s disease due to glutamate-induced excitotoxicity. Frontiers in Neural Circuits. Link
Anila Gundavarapu, Srinivasa Chakravarthy and Karthik Soman, A model of motion processing in the visual cortex using neural field with asymmetric Hebbian learning”, Frontiers in Neuroscience-Perception Science, 2019. Link
Samyukta Jayakumar, Rukhmani Narayanamurthy, Reshma Ramesh, Karthik Soman, Vignesh Muralidharan and V. Srinivasa Chakravarthy, Modeling the Effect of Environmental Geometries on Grid Cell Representations”, Frontiers in Neural Circuits, 2019. Link
Ankur Chauhan, Karthik Soman and Srinivasa Chakravarthy, “Saccade Velocity Driven Oscillatory Network model of Grid cells”, by, Frontiers in Computational Neuroscience, 2019. Link
V Srinivasa Chakravarthy, V Srinivasa Chakravarthy, Srivastav. "Demystifying the Brain". PDF
Bhadra S Kumar, Avinash Kori, Sundari Elango, and V. Srinivasa Chakravarthy, Phase and Amplitude Modulation in a Neural Oscillatory Model of the Orientation Map, 25th International Conference on Neural Information Processing (ICONIP 2018), Cambodia, Dec 2018. Link
Karthik Soman, Srinivasa Chakravarthy, and Michael Yartsev An Empirically Driven Hierarchal Anti-Hebbian Network Model for the Formation of Spatial Cells in Three-Dimensional Space, Nature Communications, (accepted), 2018. Link
Muddapu VR, Mandali A, Chakravarthy S V, Ramaswamy S (2018) A computational model of loss of dopaminergic cells in Parkinson’s disease due to glutamate-induced excitotoxicity. bioRxiv:1–69 PDF
Chakravarthy, V.S., Balasubramani, P.P., Mandali, A., Jahanshahi, M., Moustafa., A.A., The many facets of Dopamine: Toward an integrative theory of the role of Dopamine in managing the body's energy resources, Journal of Physiology and Behavior, (accepted). Link
Soman, Karthik, Vignesh Muralidharan, and V. Srinivasa Chakravarthy "An Oscillatory Neural Autoencoder based on Frequency Modulation and Multiplexing" Frontiers in computational neuroscience, 2018 (In Press). Link
Soman, Karthik, Vignesh Muralidharan, and Vaddadi Srinivasa Chakravarthy. "A unified hierarchical oscillatory network model of head direction cells, spatially periodic cells, and place cells." European Journal of Neuroscience 47.10 (2018): 1266-1281. PDF
Soman, K., Chakravarthy, S., & Yartsev, M. (2018). A Hierarchical Anti-Hebbian Network Model for the Formation of Spatial Cells in Three-Dimensional Space. PDF
Shivkumar, S., Chakravarthy, V. S., & Rougier, N. P. (2018). Modeling the Role of the Striatum in Non-Stationary Bandit Tasks. PDF
V Srinivasa Chakravarthy, Ahmed A. Moustafa. "Computational Neuroscience Models of the Basal Ganglia". Link
Vignesh Muralidharan, Alekhya Mandali, Pragathi Priyadharsini Balasubramani, Hima Mehta, V Srinivasa Chakravarthy, Marjan Jahanshahi. "A cortico-basal ganglia model to understand the neural dynamics of targeted reaching in normal and Parkinson’s conditions". Link
Ahmed A Moustafa, Alekhya Mandali, Pragathi Priyadharsini Balasubramani, V Srinivasa Chakravarthy. "The motor, cognitive, affective, and autonomic functions of the basal ganglia". Link
Chakravarthy, V. S. (2017). Seeing vision with the eyes of math. Kerala Journal of Ophthalmology, 29(2), 66. PDF
Philips, R. T., Sur, M., & Chakravarthy, V. S. (2017). The influence of astrocytes on the width of orientation hypercolumns in visual cortex: A computational perspective. PLoS Computational Biology, 13(10), e1005785. PDF
Jayakumar, S., Narayanamurthy, R., Ramesh, R., Soman, K., Muralidharan, V., & Chakravarthy, S. (2017). A computational model that explores the effect of environmental geometries on grid cell representations. PDF
Soman, Karthik, Vignesh Muralidharan, and V. Srinivasa Chakravarthy. "A Model of Multisensory Integration and its Influence on Hippocampal Spatial Cell Responses." IEEE Transactions on Cognitive and Developmental Systems(2017). PDF
Shivkumar, Sabyasachi, Vignesh Muralidharan, and V. Srinivasa Chakravarthy. "A Biologically Plausible Architecture of the Striatum to Solve Context-Dependent Reinforcement Learning Tasks." Frontiers in neural circuits 11 (2017). Link
Ryan Thomas Philips, Srinivasa Chakravarthy (2017), A global orientation map in the primary visual cortex (V1): Could a self-organizing model reveal its hidden bias? Frontiers in Neural Circuits. Link
Vignesh Muralidharan, Pragathi P Balasubramani, V Srinivasa Chakravarthy, Moran Gilat, Simon JG Lewis, Ahmed A Moustafa."A neurocomputational model of the effect of cognitive load on freezing of gait in Parkinson's disease". Link
Abhishek De, V Srinivasa Chakravarthy, Michael Levin. "A computational model of planarian regeneration". Link
Adam JH Newton, Alexandra H Seidenstein, Robert A McDougal, Alberto Pérez-Cervera, Gemma Huguet, Tere M-Seara, Caroline Haimerl, David Angulo-Garcia, Alessandro Torcini, Rosa Cossart, Arnaud Malvache, Kaoutar Skiker, Mounir Maouene, Gianmarco Ragognetti, Letizia Lorusso, Andrea Viggiano, Angelo Marcelli, Rosa Senatore, Antonio Parziale, S Stramaglia, M Pellicoro, L Angelini, E Amico, H Aerts, J Cortés, S Laureys, D Marinazzo, S Stramaglia, I Bassez, L Faes, Hannes Almgren, Adeel Razi, Frederik Van de Steen, Ruth Krebs, Hannelore Aerts, Lida Kanari, Pawel Dlotko, Martina Scolamiero, Ran Levi, Julian Shillcock, Christiaan PJ de Kock, Kathryn Hess, Henry Markram, Cheng Ly, Gary Marsat, Tom Gillespie, Malin Sandström, Mathew Abrams, Jeffrey S Grethe, Maryann Martone, Robin De Gernier, Sergio Solinas, Christian Rössert, Marc Haelterman, Serge Massar, Valentina Pasquale, Vito Paolo Pastore, Sergio Martinoia, Paolo Massobrio, Cristiano Capone, Núria Tort-Colet, Maria V Sanchez-Vives, Maurizio Mattia, Ali Almasi, Shaun L Cloherty, David B Grayden, Yan T Wong, Michael R Ibbotson, Hamish Meffin, Luke Y Prince, Krasimira Tsaneva-Atanasova, Jack R Mellor, Alberto Mazzoni, Manuela Rosa, Jacopo Carpaneto, Luigi M Romito, Alberto Priori, Silvestro Micera, Rosanna Migliore, Carmen Alina Lupascu, Francesco Franchina, Luca Leonardo Bologna, Armando Romani, Sára Saray, Werner Van Geit, Szabolcs Káli, Alex Thomson, Audrey Mercer, Sigrun Lange, Joanne Falck, Eilif Muller, Felix Schürmann, Dmitrii Todorov, Robert Capps, William Barnett, Yaroslav Molkov, Federico Devalle, Diego Pazó, Ernest Montbrió, Gabriela Mochol, Habiba Azab, Benjamin Y Hayden, Rubén Moreno-Bote, Pragathi Priyadharsini Balasubramani, Srinivasa V Chakravarthy, Vignayanandam R Muddapu, Medorian D Gheorghiu, Bartul Mimica, Jonathan Withlock, Raul C Mureșan, Jennifer L Zick, Kelsey Schultz, Rachael K Blackman, Matthew V Chafee, Theoden I Netoff, Nicholas Roberts, Vivek Nagaraj, Andrew Lamperski, Theoden I Netoff, Logan L Grado, Matthew D Johnson, David P Darrow, Davide Lonardoni, Hayder Amin, Stefano Di Marco, Alessandro Maccione, Luca Berdondini, Thierry Nieus, Marcel Stimberg, Dan FM Goodman, Thomas Nowotny, Veronika Koren, Valentin Dragoi, Klaus Obermayer, Samy Castro, Mariano Fernandez, Wael El-Deredy, Kesheng Xu, Jean Paul Maidana, Patricio Orio, Weiliang Chen, Iain Hepburn, Francesco Casalegno, Adrien Devresse, Aleksandr Ovcharenko, Fernando Pereira, Fabien Delalondre, Erik De Schutter, Peter Bratby, Andrew R Gallimore. "26th annual computational neuroscience meeting (CNS* 2017): Part 3". Link
Vignesh Muralidharan, Pragathi Priyadharsini Balasubramani, Srinivasa Chakravarthy, Moran Gilat, Simon JG Lewis, Ahmed A. Moustafa (2016), A neurocomputational model of the effect of cognitive load on freezing of gait in Parkinson's disease, Frontiers in Human Neuroscience.
Alekhya Mandali, Srinivasa Chakravarthy, Roopa Rajan, Sankara Sarma, Asha Kishore (2016), Electrode position and current amplitude modulate impulsivity after subthalamic stimulation in Parkinson's disease, Frontiers in Physiology. Link
Soman, K., Muralidharan, V., Chakravarthy, V.S. (2016), An oscillatory network model of head direction, spatially periodic cells and place cells using locomotor inputs, Bioarxiv.
Alekhya Mandali,Srinivasa Chakravarthy V (2016), Probing the role of medication, DBS electrode position and antidromic activation on impulsivity using a computational model of Basal Ganglia. Frontiers in Human Neuroscience.ID:197629 (accepted) Article
Moustafa, A.A., Chakravarthy, S., Phillips, J. Gupta, A., Keri, S, Polner, B., Frank, M. J., Jahanshahi, M. (2016). Motor symptoms in Parkinson's disease: A unified framework. Neuroscience & Biobehavioral Reviews (accepted)
Abhishek Dea, V. Srinivasa Chakravarthyb, Michael Levinc.(2016), A computational model of planarian regeneration. International Journal of Parallel, Emergent and Distributed Systems. DOI:10.1080/17445760.2016.1185521. Article
Ahmed A. Moustafa, Srinivasa Chakravarthy, Joseph R. Phillips, Jacob J. Crouse, Ankur Gupta, Michael J. Frank, Julie M. Hall, Marjan Jahanshahi. Interrelations between cognitive dysfunction and motor symptoms of Parkinson's disease: Behavioral and neural studies. Reviews in the Neurosciences (accepted). Link
Philips RT, Chhabria K, Chakravarthy VS. Vascular Dynamics Aid a Coupled Neurovascular Network Learn Sparse Independent Features: A Computational Model. Frontiers in Neural Circuits. 2016;10:7. DOI:10.3389/fncir.2016.00007.PDF
Chhabria K,Chakravarthy VS, Low-dimensional models of 'Neuro-glio-vascular unit' for describing neural dynamics under normal and energy-starved conditions, Frontiers in Neurology,2016.PDF
Pavan Holla, Srinivasa Chakravarthy. "Decision making with long delays using networks of flip-flop neurons". Link
Balakrishnan Minimol, Chakravarthy Srinivasa, Guhathakurta Soma "Simulation of cardiac arrhythmias using a 2D heterogeneous whole heart model" , Frontiers in Physiology, vol. 6, p. 00374 , 2015PDF
P. P. Balasubramani, V. S. Chakravarthy, M. Ali, B. Ravindran, and A. A. Moustafa, "Identifying the basal ganglia network model markers for medication-induced impulsivity in Parkinson's Disease patients," PloS one, vol. 10, p. e0127542, 2015PDF
A. Mandali, M. Rengaswamy, V. S. Chakravarthy, and A. A. Moustafa, "A spiking Basal Ganglia model of synchrony, exploration and decision making," Frontiers in Neuroscience, vol. 9, p. 191, 2015PDF
P. P. Balasubramani, V. S. Chakravarthy, B. Ravindran, and A. A. Moustafa, "A network model of basal ganglia for understanding the roles of dopamine and serotonin in reward-punishment-risk based decision making," Frontiers in Computational Neuroscience, vol. 9, 2015PDF
R. T. Philips and V. S. Chakravarthy, "The mapping of eccentricity and meridional angle onto orthogonal axes in the primary visual cortex: an activity-dependent developmental model," Frontiers in computational neuroscience, vol. 9, 2015PDF
Mandali Alekhya, V Srinivasa Chakravarthy. "A computational basal ganglia model to assess the role of STN-DBS on impulsivity in Parkinson's disease". Link
P. P. Balasubramani, V. S. Chakravarthy, B. Ravindran, and A. A. Moustafa, "An extended reinforcement learning model of basal ganglia to understand the contributions of serotonin and dopamine in risk-based decision making, reward prediction, and punishment learning," Frontiers in computational neuroscience, vol. 8, 2014PDF
Vignesh Muralidharan, Pragathi P Balasubramani, V Srinivasa Chakravarthy, Simon JG Lewis, Ahmed A Moustafa. A computational model of altered gait patterns in parkinson's disease patients negotiating narrow doorways. Link
Gupta, A., Balasubramani, P.P., and Chakravarthy, S. (2013). Computational model of precision grip in Parkinson's disease: A Utility based approach. Frontiers in Computational Neuroscience 7 Link
Chakravarthy VS (2013) Do Basal Ganglia Amplify Willed Action by Stochastic Resonance? A Model. PLoS ONE 8(11): e75657PDF
Helie, S. Chakravarthy, and A. A. Moustafa, "Exploring the cognitive and motor functions of the basal ganglia: an integrative review of computational cognitive neuroscience models," Frontiers in computational neuroscience, vol. 7, 2013.PDF
V. Muralidharan, P. P. Balasubramani, V. S. Chakravarthy, S. J. Lewis, and A. A. Moustafa, "A computational model of altered gait patterns in parkinson's disease patients negotiating narrow doorways," Frontiers in computational neuroscience, vol. 7, 2013PDF
Soumya T Soman, Ashakranthi Nandigam, V Srinivasa Chakravarthy. An efficient multiclassifier system based on convolutional neural network for offline handwritten Telugu character recognition. Link
Chander, B.S., and Chakravarthy, V.S. (2012). A computational model of neuro-glio-vascular loop interactions. PloS one 7, e48802. Link
Sukumar, D., Rengaswamy, M., and Chakravarthy, V.S. (2012). Modeling the contributions of Basal ganglia and Hippocampus to spatial navigation using reinforcement learning. PloS one 7, e47467. Link
Deepesh.V, R.J. Pardikar, K.Karthik, A. Sricharan, V.S. Chakravarthy, and K. Balasubramanian, Automatic defect recognition (ADR) system for real-time radioscopy (RTR) of straight tube butt (STB) welds, Journal of Non-destructive Testing & Evaluation (Accepted).
Maya M., Chakravarthy V. S., Ravindran B., An Oscillatory neural network model for birdsong learning and generation: Implications for the role of Dopamine in Song Learning, International Journal of Mind, Brain and Cognition, 2012. (Accepted)
Sanjeeva K. Kalva, Maithreye Rengaswamy, V.S. Chakravarthy, Neelima Gupte, On the neural substrates for exploratory dynamics in basal ganglia: A model, Neural Networks, pp. 65-73, February, 2012. Link
Sagar Dewan, Srinivasa Chakravarthy. "A system for offline character recognition using auto-encoder networks". Link
J Rajkumar, K Mariraja, Kanakapriya Kanakapriya, S Nishanthini, VS Chakravarthy. "Two schemas for online character recognition of Telugu script based on support vector machines". Link
Gairik Sachdeva, Kanakapriya Kalyanasundaram, J Krishnan, VS Chakravarthy. "Bistable dynamics of cardiac cell models coupled by dynamic gap junctions linked to cardiac memory". Link
Balasubramani Pragathi Priyadharsini, Balaraman Ravindran, V Srinivasa Chakravarthy. "Understanding the role of serotonin in basal ganglia through a unified model". Link
R.Krishnan, S. Ratnadurai, D. Subramanian, V.S. Chakravarthy, M. Rengaswamy, Modeling the role of Basal Ganglia in Saccade Generation: Is the Indirect Pathway the Explorer?, Neural Networks, Volume: 24, Issue: 8, Pages: 801-813, 2011. Link
Vishwanathan Mohan, Pietro Morasso, Jacopo Zenzeri, Giorgio Metta, V. Chakravarthy, Giulio Sandini, Teaching a humanoid Robot how to draw ‘Shapes,’ Autonomous Robots, pp. 1-33. Volume: 31, Issue: 1, Pages: 21-53, 21 April 2011. Link
S. Mohamed Yacin, M. Manivannan and V. Srinivasa Chakravarthy, Reconstruction of Gastric Slow wave from Finger Photoplethysmographic Signal using Radial Basis Function Neural Network, Medical Biological Engineering and Computing, Volume 49, Number 11, 1241-1247, 2011. Link
S. Mohamed Yacin and M. Manivannan, V.S. Chakravarthy, Effect of gastric myoelectric activity on Pulse Rate Variability in fasting and postprandial conditions, International Journal of Healthcare Technology and Management, Vol. 12, No.5/6 pp. 434 – 446, 2011.
Ranjan K. Pradhan and V. S. Chakravarthy, Informational dynamics of Vasomotion in Microvascular Networks: A Review, Acta Physiologica (Oxf). 201(2):193-218, Feb, 2011. Link
M. Magdoom , D. Subramanian, V.S. Chakravarthy, B. Ravindran, Shun-ichi Amari. N. Meenakshisundaram, Modeling Basal Ganglia for understanding Parkinsonian Reaching Movements, Neural Computation, February 2011, Vol. 23, No. 2, Pages 477-516. Link
Shiek SSJ Ahmed, Abdul R Ahameethunisa, Winkins Santosh, Srinivasa Chakravarthy, Suresh Kumar. "Systems biological approach on neurological disorders: a novel molecular connectivity to aging and psychiatric diseases". Link
Satish Rohit, Srinivasa Chakravarthy. "A convolutional neural network model of the neural responses of inferotemporal cortex to complex visual objects". Link
Saguna Dubey, Sandeep Sambaraju , Sarat C. Cautha, A. Parthasarathy, N. Srivastava, V. S. Chakravarthy, On the role of ambiguity in copying oriented line diagrams, International Journal of Brain, Mind and Cognition, Vol. 1, No. 2, Jul--Dec 2010.
V. Deepesh, R.J. Pardikar, A. Sricharan, V.G. Ramanathan, S. Chakravarthy and K. Balasubramaniam, Automatic Defect Recognition System for Real Time Radioscopy of Hancock Valve Welds, Journal of Non destructive Testing & Evaluation, 9 (1) 12-16, (2010).
V.S. Chakravarthy, Denny Joseph, Raju S. Bapi, “What do the Basal Ganglia Do? A modeling perspective”, Biological Cybernetics, 2010, Sep;103(3):237-53. Link
S. Mohamed Yacin, M. Manivannan, V. Srinivasa Chakravarthy, On non-invasive measurement of Gastric motility from finger photoplethysmographic signal, Annals of Biomedical Engineering, vol 38, no 12, 3744-3755, 2010. Link
D. Joseph, G. Gangadhar, V.S. Chakravarthy, ACE (Actor - Critic - Explorer) Paradigm for Reinforcement Learning in Basal Ganglia: Highlighting the role of Sub-Thalamic and Pallidal Nuclei, Neurocomputing, Volume 74, Issue 1-3, December, 2010. Link
Sachdeva G, Kalyanasundaram K, Krishnan J, Chakravarthy VS. Bistable dynamics of cardiac cell models coupled by dynamic gap junctions linked to Cardiac Memory. Biol Cybern. 2010 Feb;102(2):109-21.
Rohit Gandrakota, V. S. Chakravarthy, Ranjan K. Pradhan, A model of indispensability of a large glial layer in cerebrovascular circulation. Neural Computation 2010 Apr;22(4):949-68. Link
Garipelli Gangadhar, Denny Joseph, A.V. Srinivasan, Deepak Subramanian, Shiva Keshavan, V. Srinivasa Chakravarthy, A computational model of Parkinsonian handwriting that high lights the role of the indirect pathway in the basal ganglia. Human Movement Science, 2009 Oct;28(5):602-18. Link
Dubey, S., Sambaraju, S., Chautha, S.C., Arya, V., Chakravarthy, V.S., A phase dynamic model of systematic error in simple copying tasks. Biological Cybernetics, 2009 Sep;101(3):201-13.
R.K. Pradhan, V. S. Chakravarthy, Desynchronized Vasomotion and Desynchronized Fiber Activation Pattern Enhance Oxygenation in a Model of Skeletal Muscle, Jnl of Theoretical Biology, Vol. 259, No. 2., 21 July 2009, pp. 242-252.
S. Mohamed Yacin, M. Manivannan and V. Srinivasa Chakravarthy, Effect of Gastric Myoelectric Activity on Photoplethysmographic Signals, International Journal of Recent Trends in Engineering, Vol. 2(Electrical), No. 1,pp 27-29, Nov 2009.
Swapnil Belhe, Srinivasa Chakravarthy, AG Ramakrishnan. "XML standard for Indic online handwritten database". Link
Aparna Kokku, Srinivasa Chakravarthy. "A complete OCR system for Tamil magazine documents". Link
S Yacin, M Manivannan, V Chakravarthy. "Pulse rate variability and gastric electric power in fasting and postprandial conditions". PDF
J. Krishnan, G. Sachdeva, V S Chakravarthy, Interpreting voltage-sensitivity of Gap Junctions as a mechanism of Cardiac Memory, Mathematical Biosciences, vo. 212, pp. 132-148, 2008. Link
V.S. Chakravarthy, N. Gupte, S.Yogesh, A. Salhotra, Chaotic Synchronization using a Network of Neural Oscillators, International Journal of Neural Systems, vol. 18, No. 2, pp. 157–164, 2008. Link
G. Gangadhar, D. Joseph, V.S. Chakravarthy, Understanding Parkinsonian Handwriting using a computational model of basal ganglia, Neural Computation, 20, 1–35 (2008). Link
R.K Pradhan, V.S.Chakravarthy, A. Prabhakar, Effect of Chaotic Vasomotion in Skeletal Muscle on Tissue oxygenation , Microvascular Research,Vol 74/1,pp 51-64, July 2007. Link
R.K. Pradhan, V. S. Chakravarthy. A computational Model that Links Nonperiodic Vaosomotion to Enhanced Oxygenation in Skeletal Muscle. Mathematical Biosciences, 209 (2), p.486-499, Oct 2007. Link
G. Gangadhar, D. Joseph, V.S. Chakravarthy, “An oscillatory neuromotor model of handwriting generation,” International Journal of Document Analysis and Recognition, Vol. 10, No. 2, November 2007. Link
P.S. Prashanth, V.S. Chakravarthy (2007), “An oscillator theory of motor unit recruitment in skeletal muscle.” Biological Cybernetics, 97:351-361.
Anitha Jayaraman, C Chandra Sekhar, V Srinivasa Chakravarthy. Modular approach to recognition of strokes in Telugu script. Link
H Swethalakshmi, C Chandra Sekhar, V Srinivasa Chakravarthy. Spatiostructural features for recognition of online handwritten characters in Devanagari and Tamil scripts. Link
H Swethalakshmi, A Jayaraman, VS Chakravarthy, CC Sekhar. "Online handwritten character recognition for Devanagari and Tamil scripts using support vector machines".
S. Devarajan, P.S. Prashanth, V.S. Chakravarthy, “The Role of the Basal Ganglia in Exploration in a Neural Model based on Reinforcement Learning,” International Journal of Neural Systems, vol. 16, No. 2, pp111-124, 2006. Link
V.S. Chakravarthy, J.Krishnan, S. Radhakrishnan, Chaitanya Sai, Activity-dependent plasticity in Gap Junctions as a Mechanism for Cardiac Memory, NeuroQuantology, Vol. 4, Issue 4, Page 307-320 (2006).
Hariharan Swethalakshmi, Anitha Jayaraman, V Srinivasa Chakravarthy, C Chandra Sekhar. Online handwritten character recognition of Devanagari and Telugu Characters using support vector machines. Link
J. Krishnan, V.S. Chakravarthy and S. Radhakrishnan (2005), On the Role of Gap junctions in cardiac Memory Effect, Computers in Cardiology, 32.13-16.
J.Krishnan V.S. Chakravarthy, S.Radhakrishnan, Solomon Victor and Vijaya Nayak (2005) Neural Influence is essential for synchronization of Cardiac Oscillators – A computational Model, Indian Journal of Cardiac Vascular Thoracic Surgery, 21.262-268.
Hema Smanathan, Renee M. Borges, and V. Srinivasa Chakravarthy, “Does Neighbourhood Floral Display Matter? Fruit Set in Carpenter Bee-pollinated Heterophragma quadriloculare and Beetle-pollinated Lasiosiphon eriocephalus” Biotropica, vol. 36, no. 2, 2004. Link
V.S. Chakravarthy & Bhaskar Kompella, “The Shape of Handwritten Character,” Pattern Recognition Letters, Vol. 24, No. 12, August, 2003.
KH Aparna, Vidhya Subramanian, M Kasirajan, G Vijay Prakash, VS Chakravarthy, Sriganesh Madhvanath. Online handwriting recognition for Tamil. Link
KH Aparna, Sumanth Jaganathan, P Krishnan, VS Chakravarthy. "An Optical character recognition system for Tamil newsprint".
KH Aparna, Sumanth Jaganathan, P Krishnan, VS Chakravarthy. "Document image analysis: with specific application to Tamil newsprint".
Srinivasa ChakravarthyPravin GuptaRaghu ChunduruBerthold F. KriegshauserOtto N. Fanini. Conductivity anisotropy estimation method for inversion processing of measurements made by a transverse electromagnetic induction logging instrument. Link
Srinivasa V Chakravarthy, Raghu K Chunduru, Alberto G Mezzatesta, Otto Fanini. "Detection of layer boundaries from array induction tool responses using neural networks". Link
S.Chakravarthy and J.Ghosh. On Hebbian-like Adaptation in Heart Muscle: A proposal for “Cardiac Memory”. Biological Cybernetics, 76(3), April, 1997, pp 207-215. Link
S. Chakravarthy and J. Ghosh. Function Emulation using the Radial Basis Function Network. Neural Networks. Vol. 10, No. 3, pp459-478, 1997. Link
S. Chakravarthy and J. Ghosh. Scale-based Clustering using the Radial Basis Function Network. IEEE Transactions on Neural Networks, vol. 7, no. 5 ,p1250-1261,September, 1996. Link
S. Chakravarthy and J. Ghosh. A Complex-valued Associative Memory for Storing Patterns as Oscillatory States, Biological Cybernetics, 75, p229-238, 1996. Link
J. Ghosh and S. Chakarvarthy, Rapid Kernel Classifier: A link between Self-Organizing Feature Map and the Radial Basis Function Network. Journal of Intelligent Material Systems and Structures (Sp. Issue on Neural Networks), March 1994. Link
Srinivasa V Chakravarthy, Joydeep Ghosh. "A neural network-based associative memory for storing complex-valued patterns". Link
JC Hoskins. "Polynomial modeling behavior in radial basis function networks". Link
1991
SV Chakravarthy, J Ghosh, L Deuser, S Beck."Efficient training procedures for adaptive kernel classifiers". Link
Joydeep Ghosh, Srinivasa Chakravarthy, Yoan Shin, Chen-Chau Chu, Larry Deuser, Steven Beck, Russell Still, James Whiteley. "Adaptive kernel classifiers for short-duration oceanic signals". PDF