B.K. Patil, A. Aziz, S. Deshmukh, V.S. Chakravarthy, A DEEP OSCILLATORY NEURAL NETWORK WITH GRAPH CONVOLUTION TO MODEL SPATIAL CELLS IN HIPPOCAMPAL FORMATION, FENS Forum 2024, Vienna, Austria, 26 June 2024
Palika Charitha, Sandeep Sathyanandan Nair, Vigneswaran C, N. R Rohan, & V. Srinivasa Chakravarthy, MODELLING THE BASAL GANGLIA FOR COGNITIVE PERFORMANCE IN HEALTHY CONTROL, Parkinson’s DISEASE CONDITION AND DBS TREATED PATIENTS, 18th International Conference on Alzheimer’s and Parkinson’s Diseases (ADPD): Mechanisms, Clinical Strategies and promising Treatments of Neurodegenerative Diseases, March 5 - 9, 2023 (Virtual)
Dipayan Biswas,Rupak Krishnamurthy, V. Srinivasa Chakravarthy, Tamizharasan Kanagamani, A Trainable Oscillatory Autoencoder network to model the storage of Working memory in nested theta/gamma oscillations, Society for Neuroscience (SfN), San Diego, USA, 2022.
Tamizharasan Kanagamani,Rupak Krishnamurthy,V. Srinivasa Chakravarthy, Balaraman Ravindran,Ramshekhar N Menon, Memory Consolidation with Orthogonal Gradients for avoiding Catastrophic Forgetting, Society for Neuroscience (SfN), San Diego, USA, 2022.
Sandeep Sathyanandan Nair, Vigneswaran C & V. Srinivasa Chakravarthy, Modelling working memory properties of Basal Ganglia, OCNS 2022 Melbourne, July 16 - 21, 2022
Amal Jude Ashwin, F., V. Srinivasa Chakravarthy, and Sunil Kumar Kopparapu. "An AI-Based Detection System for Mudrabharati: A Novel Unified Fingerspelling System for Indic Scripts." International Conference on Text, Speech, and Dialogue. Springer, Cham, 2021.
Kumari, S., Aravindakshan, S., Jain, U. and Srinivasa Chakravarthy, V., 2021. Convolutional elman jordan neural network for reconstruction and classification using attention window. In Innovations in Computational Intelligence and Computer Vision (pp. 173-181). Springer, Singapore.
Sandeep Sathyanandan Nair, Vignayanandam R. Muddapu & V. Srinivasa Chakravarthy, A Multiscale Cortico-Basal Ganglia Model for Arm Reaching Task in Normal and Parkinsonian Conditions, Neuromatch 3.0 (virtual), October 26 - 30, 2020 (Accepted for traditional talk).
Rupak Krishnamoorthy, Dipayan Biswas, Tamizharasan K, V Srinivasa Chakravarthy, A hybrid network with a reservoir of complex nonlinear oscillators to model the storage of short-term memory, Bernstein Conference (virtual) 2020.
Vignayanandam R. Muddapu, Pragathi P. Balasubramani, Jyoti Mishra, Dhakshin S. Ramanathan & V. Srinivasa Chakravarthy, A Generalized Reinforcement Learning-Based Deep Neural Network Model for Diverse Cognitive Constructs, Bernstein Conference (virtual) 2020.
Abhinav Sardana, Vignayanandam R. Muddapu, & V. Srinivasa Chakravarthy Loss of Projection Neurons Due to Glutamate Toxicity in Alzheimer’s Disease: A Computational Model, Advances in Alzheimer’s and Parkinson’s Therapies 2020 (AD-PD 2020) to be held in Vienna, Austria (Accepted).
Vignayanandam R. Muddapu, Karthik Vijayakumar, Keerthiga Ramakrishnan, & V. Srinivasa Chakravarthy, A Computational Model of Levodopa-Induced Toxicity in Substantia Nigra Pars Compacta in Parkinson's Disease, Dopamine 2020 to be held in Montreal, Canada, 2020 (Accepted).
Sandeep Nair, Vignayanandam R. Muddapu, & V. Srinivasa Chakravarthy, A Systems Neuropharmacological Model of Cortico-Basal Ganglia Circuitry of Arm Reaching for Normal, Parkinsonian and Levodopa medication, Annual Conference of Neural Control of Movement (NCM) to be held in Dubrovnik, Croatia, 2020 (Accepted).
Sweta Kumari, Arvindakshan S, Umangi Jain, & V. Srinivasa Chakravarthy; Convolutional Elman Jordan Neural Network for Reconstruction and Classification Using Attention Window, International Conference on Innovations in Computational Intelligence and Computer Vision (ICICV2020) to be held in Jaipur, India, 2020 (Accepted).
Sweta Kumari, Arvindakshan S, & V. Srinivasa Chakravarthy; Elman Jordan Recurrence Convolutional Neural Networks Using Attention Window, International Conference on Innovative Computing and Communication (ICICC-2020) to be held in New Delhi, India, 2020 (Accepted).
Vishant Batta, Vignayanandam R. Muddapu, Sandeep Nair, & V. Srinivasa Chakravarthy, A Computational Pharmacological Model of Levodopa Medication of PD Patients, Annual conference of the Association for Cognitive Science (ACCS), BITS-Pilani Goa, India, 2019.
Kratika Mujmer, Sandeep Nair, Vignayanandam R. Muddapu & V. Srinivasa Chakravarthy, Role of astrocytes in metabolic support of neurons, Annual conference of the Association for Cognitive Science (ACCS), BITS-Pilani Goa, India, 2019.
Vignayanandam R. Muddapu, V. Srinivasa Chakravarthy, A Comprehensive Biophysical Model of Substantia Nigra Pars Compacta Cells for Understanding Parkinsonian Neurodegeneration, Society for Neuroscience (SfN), Chicago, USA, 2019.
Dipayan Biswas, V. Srinivasa Chakravarthy;Modeling postural sway in terms of planar center of pressure (COP variations) of healthy adults in sagittal and coronal plane; ACCS, BITS Pilani, Goa, India, 2019
V. Srinivasa Chakravarthy, Dipayan, Sooryakiran, Asit Tarsode; Modelling electroencephalogram data using a network of complex valued neural oscillators; BrainModes, Pokhara, Nepal, 2019
J. Elangovan, M.Prakash, A.Aziz, R.Narayanamurthy, S. Jayakumar, S.V. Chakravarthy; A velocity driven oscillatory network model for object vector cells, Society for Neuroscience (SfN), Chicago, IL, USA, 2019
Aakash Mahadevan, Azra Aziz, Bharat Patil, V Srinivasa Chakravarthy; A velocity Driven Hierarchical Anti Hebbian Oscillatroy Network Model for Object Vector Cells and Other Spatial Cells; ACCS, BITS Pilani, Goa, India, 2019
Priyamvada Modak, V. S. Chakravarthy, Izhikevich Models For Hippocampal Neurons And Its Sub-Region CA3, Conference on Cognitive Computational Neuroscience 2018, Philadelphia, Pennsylvania, USA, 2018. (https://doi.org/10.32470/CCN.2018.1189-0)
Vignayanandam R. Muddapu, V. S. Chakravarthy, Programmed cell death in substantia nigra due to subthalamic nucleus- mediated excitotoxicity: a computational model of Parkinsonian neurodegeneration, Organization of Computational Neuroscience (OCNS), Antwerp, Belgium, 2017. (https://doi.org/10.1186/s12868-017-0371-2#Sec113)
P.P. Balasubramani, V. S. Chakravarthy, Vignayanandam R Muddapu, A simple computational model of altered neuromodulation in cortico-basal ganglia dynamics underlying bipolar oscillations, Organization of Computational Neuroscience (OCNS), Antwerp, Belgium, 2017. (https://doi.org/10.1186/s12868-017-0372-1#Sec100)
Ankur Chauhan, Karthik Soman, V. Srinivasa Chakravarthy, Saccade Velocity Driven Oscillatory Network model of Grid cells, Organization of Computational Neuroscience (OCNS), Antwerp, Belgium, 2017. (https://doi.org/10.1186/s12868-017-0371-2#Sec109)
Tamizharasan K, Karthik Soman, V Srinivasa Chakravarthy, B Ravindran, A Model of Memory Consolidation in Hippocampus based on Reinforcement Learning,Brain modes 2017,National Brain Research Centre, Manesar, Gurugran, Haryana.December 2017.
Soman K, Chakravarthy VS, “A generalized architecture for modeling spatial cell responses for navigation in three dimensional spaces”, 4th Annual Conference on Cognitive Science, ACCS (2017).
Karthik Soman, Muralidharan V., V. S. Chakravarthy, A computational model of hippocampus inspired by the functional architecture of basal ganglia, CNS, Jeju Island, South Korea, 2016.
Karthik Soman, Muralidharan V., V. S. Chakravarthy, A oscillatory netwrok model of head direction and grid cells using locomotor inputs, CNS, Jeju Island, South Korea, 2016.
Muralidharan V., Alekhya Mandali, Balasubramani, P.P., Hima Mehta, V. S. Chakravarthy, A scalable cortico- basal ganglia model to understand the neural dynamics of targeted reaching, CNS, Jeju Island, South Korea, 2016
Sabyasachi Shivkumar, Muralidharan V., V. S. Chakravarthy, A computational architecture to model the microanatomy of the striatum and its functional properties, CNS, Jeju Island, South Korea, 2016.
R. T. Philips, K Chhabria, V. S. Chakravarthy, An auto-encoder network realizes sparse features under the influence of desynchronized vascular dynamics, CNS, Prague, Czech Republic, 2015.
R.T Philips, V. S Chakravarthy,Could the prior development of the retinotopic map account for the radial bias in the orientation map in V1?, CNS, Prague, Czech Republic, 2015
K Chhabria, V. S Chakravarthy, Modulation of neural firing through intracellular ATP dynamics governed by energy feedback from the vascular system, CNS, Prague, Czech Republic, 2015
M. Asokan, K Chhabria, V. S Chakravarthy A Model of Learning Axonal Conduction Delays, Representative of Adaptive Myelination, CNS, Prague, Czech Republic, 2015
A. Mandali, V.S. Chakravarthy ,A Spiking network model of Basal Ganglia to study the effect of Dopamine medication and STN-DBS during Probabilistic Learning task, CNS, Prague, Czech Republic, 2015.
A. Mandali, V.S. Chakravarthy , A computational Basal Ganglia model to assess the role of STN-DBS on Impulsivity in Parkinson's disease, IJCNN, Killarney, Ireland, 2015.
Muralidharan, V., Balasubramani, P.P., Chakravarthy, V.S., Ravindran, B. A "Computational model of gait changes in Parkinson's disease patients passing through doorways", in Reinforcement learning and decision making, RLDM, Alberta, Canada,2015.
A. Mandali, S. Chakravarthy, and A. Kishore, "Studying the role of STN-DBS on Impulsivity using a spiking neuron network model of Basal Ganglia," in Brain Stimulation, 2015.
R. T. Philips and V. S. Chakravarthy, "An activity-dependent computational model of development of the retinotopic map along the dorsoventral axis in the primary visual cortex," BMC Neuroscience, vol. 15, p. P189, 2014.
B. P. Priyadharsini, V. S. Chakravarthy, B. Ravindran, and A. A. Moustafa, "Modeling task-specific manifestations of serotonin in basal ganglia using risk-based decision making," BMC Neuroscience, vol. 15, p. P83, 2014
M. Balakrishnan, S. Chakravarthy, and S. Guhathakurta, "A simple 2D whole heart model for simulating Electrocardiograms," in Computing in Cardiology Conference (CinC), 2014, 2014, pp. 517-520
Pragathi Priyadharsini, B. Ravindran, VS Chakravarthy, Understanding the role of Serotonin in Basal Ganglia through a unified model, International Conference on Artificial Neural Networks (ICANN2012), Lausanne, Switzerland, 11-14 September, 2012.
Sagar Dewan, Srinivasa Chakravarthy, A system for offline character recognition using Autoencoder Networks, 19th International Conference on Neural Information Conference (ICONIP 2012), Qatar, Nov 2012.
Rajkumar.J, Mariraja K., Kanakapriya, K., Nishanthini, S., Chakravarthy, V.S., A system for Online Character Recognition of Telugu script based on Support Vector Machines, International Conference on Frontiers in Handwriting Recognition (ICFHR 2012), Bari, Italy, September 18-20 2012.
Ankur Gupta, Manikanta Avinash, Deepa Kandaswamy, Muthukumar Murthy, Suresh R Devasahayam, Sirinivasa K Babu, Srinivasa V Chakravarthy, Biologically inspired closed-loop model of precision grip lifting task, 3rd Interlational conference on cognitive neurodynamics, Hilton Niseko village, Hokkaido, Japan, June 9-13,2011.
Bankim Chander, Srinivasa Chakravarthy, A Biophysical Model of Neuro‐Glial‐Vascular Interactions, 3rd Interlational conference on cognitive neurodynamics, Hilton Niseko village, Hokkaido, Japan, June 9-13,2011.
Maithreye Rengaswamy, Srinivasa Chakravarthy, A Computational study of the role of the Sub-thalamic Nucleus in behavioral switching during saccadic movements, Hilton Niseko village, Hokkaido, Japan, June 9-13,2011.
Srinivasa Chakravarthy, Do Basal Ganglia amplify willed action by stochastic resonance? A model., International Joint Conference on Neural Networks, San Jose, USA, July 30-August 5, 2011.
Sanjeeva Kumar Kalva, Maithreye Rengaswamy, Neelima Gupte and Srinivasa Chakravarthy, Expanding the Go/NoGo depiction of the action of Basal Ganglia Pathways, International Joint Conference on Neural Networks, San Jose, USA, July 30-August 5, 2011
Deepika Sukumar, V. Srinivasa Chakravarthy, A Computational Neuromotor Model of the Role of Basal Ganglia and Hippocampus in Spatial Navigation, International Conference on Artificial Neural Networks (ICANN2010), Thessaloniki, Greece, September 15-18, 2010.
R. Krishnan, S. Ratnadurai, D. Subramanian, V.S. Chakravarthy, A Model of Basal Ganglia in Saccade Generation, International Conference on Artificial Neural Networks (ICANN2010), Thessaloniki, Greece, September 15-18, 2010.
Hiroyasu Ando, Karthik Krishnamurthy and Srinivasa Chakravarthy, Studying the Economy of Energy Expenditure in a Large Balanced Spiking Neuron Network, International Joint Conference on Neural Networks, Barcelona, Spain, 2010.
S. Mohamed Yacin, M. Manivannan and V. Srinivasa Chakravarthy, Extraction of Gastric Myoelectric Activity from Photoplethysmographic Signals, The Seventh IASTED International Conference on Biomedical Engineering 2010 (BioMed 2010), Innsbruck, Austria, Feb 17 - 19, 2010.
S. Mohamed Yacin, M. Manivannan, and V. Srinivasa Chakravarthy, Measurement of Gastric Oscillations from Finger Photoplethysmographic Signal Using Autoregressive Model, Accepted in the ICCCCT - 2010.
S. Mohamed Yacin, M. Manivannan, and V. Srinivasa Chakravarthy, Effect of Gastric Myoelectric Activity on Pulse Rate Variability in Fasting and Postprandial Conditions, Proceedings of the International Conference on Recent Advancements in Electrical Sciences (ICRAES 10), Jan 8 & 9, 2010, India, pp296-304.
Maithreye Rengaswamy and V. S. Chakravarthy, A Study of the switching function of Subthalamic Nucleus in Saccade Generation using a Computational Model of Basal Ganglia, International Joint Conference on Neural Networks, Barcelona, Spain, July 18-23, 2010.
Maya M, Chakravarthy V S, Ravindran B, An Oscillatory neural network model for birdsong learning and generation, International Conference on Artificial Neural Networks (ICANN2010), Thessaloniki, Greece, September 15-18, 2010.
Deepika Sukumar, V. Srinivasa Chakravarthy, A Computational Neuromotor Model of the Role of Basal Ganglia in Spatial Navigation, Bernstein Conference on Computational Neuroscience, September 30th - October 2nd, 2009 Frankfurt, Germany.
S. Mohamed Yacin, M. Manivannan and V. Srinivasa Chakravarthy, Pulse Rate variability and Gastric Electric Power in fasting and Postprandial Conditions, 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, USA. Sep 2 – 6, 2009, 2639-2642 .
Magdoom Mohamed, V. S. Chakravarthy, Deepak Subramanian , B. Ravindran, The role of Basal Ganglia in performing simple reaching movements: a computational model, Proceedings of the 14th Conference of the International Graphonomics Society,” Dijon, France, September, 2009.
Sharath K. Chandra, Deepak Subramanian, V. S. Chakravarthy, A.V. Srinivasan, Jitendra Kumar, Designing an Ensemble Classifier for Classifying Parkinsonian Handwriting, Proceedings of the 14th Conference of the International Graphonomics Society,” Dijon, France, September, 2009.
P. Vednath, V. Srinivasa Chakravarthy Developing a Model of Visuomotor Coordination Involved in Copying a Pair of Intersecting Lines, Bernstein Conference on Computational Neuroscience, September 30th - October 2nd, 2009 Frankfurt, Germany.
Jitendra Kumar, V.S. Chakravarthy, Designing an optimal Classifier Ensemble for online character recognition using Genetic Algorithms, Proc. of 11th International conference on Frontiers in Handwriting Recognition, Montreal, Quebec, Canada, Aug. 19-21, 2008.
J. Krishnan, V S Chakravarthy, “The Heart as a learning Machine,” Joint 52nd Annual Meeting of the Biophysical Society and 16th IUPAB International Biophysics Congress, Long Beach, CA, February 2-6, 2008.
V.S. Chakravarthy, “What do the Basal Ganglia Do?” Neurobiology and Neuroinformatics Conference, Jeju, Korea, July 2007 (Invited lecture).
Denny Joseph, G. Gangadhar, V.S.Chakravarthy, Towards an Integral model of Basal Ganglia: Exploring the multi-faceted role of Basal Ganglia in Motor function, 10th Tamagawa-Riken Dynamic Brain Forum, Hakuba, Japan, Mar. 5-9, 2007.
S. Dubey, S. Sambaraju, Sarat C., V. S. Chakravarthy, “The enigmatic two-peak orientation error structure in copying simple line diagrams,” Proceedings of the 13th Conference of the International Graphonomics Society,” Melbourne, Australia, 11-14 November, 2007.
G. Gangadhar, D. Joseph, V. S. Chakravarthy, “A computational neuromotor model of Parkinsionian handwriting,” Proceedings of the 13th Conference of the International Graphonomics Society,” Melbourne, Australia, 11-14 November, 2007.
Jayaraman, A., Chandra Sekhar, C., Chakravarthy , V.S., “Modular approach to recognition of strokes in Telugu script”, Proceedings of the Ninth International Conference on Document Analysis and Recognition, September 23-26, 2007, pp 501-505.
R. K.Pradhan, V.S.Chakravarthy, A. Prabhakar. The Role of Chaotic Vasomotion on Tissue Oxygenation, A Poster Presentation at International Workshop on Complex Dynamics of Physiological Systems: From Heart to Brain,12th - 14th Feb 2007, Presidency College, Kolkata.
Denny Joseph, G. Gangadhar, V.S.Chakravarthy, The indirect pathway as an Explorer in a Reinforcement learning model of the Basal Ganglia, Second International Conference on Cognitive Science, University of Allahabad, Dec. 10-12, 2006.
Denny Joseph, G. Gangadhar, V.S.Chakravarthy, ACE (Actor-Critic-Explorer) model of the Basal Ganglia highlighting its role in handwriting generation, Third National Brain Research Center International Conference, National Brain Research Cente, Manesar, India, Dec.13-15, 2006.
G. Sachdeva, J.Krishnan, V.S.Chakravarthy, Bistable Behavior in A Pair of Interacting Autorhythmic Cardiac Cell Models: Implications to Cardiac Memory, International conference on Biomedical and Pharmaceutical Engineering (ICBPE2006), Singapore, December 11-14, 2006.
H. Swethalakshmi, A. Jayaraman, V. S. Chakravarthy, C. Chandra Sekhar, ''Online Handwritten Character Recognition of Devanagari and Telugu Characters using Support Vector Machines'', 10th International Workshop on Frontiers in Handwriting Recognition, La Baule, France, October 23-26, 2006.
G. Gangadhar, V.S. Chakravarthy, “An oscillatory neural network model for handwriting generation,” Proceedings of the 12th Biennial Conference of the International Graphonomics Society, pp39-43, University of Salerno, Salerno, Italy, June 26-29, 2005.
G. Gangadhar, J. Srinivas, V.S. Chakravarthy, “A Neural Model of Visuomotor coordination in Copying: Implications to understanding Dysgraphia,” 12th International Conference on BioMedical Engineering (ICBME 2005), Singapore, 6-8 December, 2005.
Krishnan J, Chakravarthy V.S. and Radhakrishnan S, “ Adaptive Gap Junctions as a basis of Cardiac Memory”, Proc. of 6th Asian-Pacific Conference on BME, Japan, pp. PA 1-08, April 24-27, 2005.
Krishnan J, Chakravarthy V.S. and Radhakrishnan S, “ On the Role of Gap junctions in cardiac Memory Effect”, Accepted for oral presentation and Finalist for Rosanna Degani Young Investigator Award at 32nd Annual International Conference on Computers in Cardiology, Lyon, France, 25 –28, September, 2005.
Krishnan J., Chakravarthy V.S. and Radhakrishnan S., “Voltage-sensitive dynamics of Gap Junctions gives memory-like property to Cardiac Function,”12th International Conference on Biomedical Engineering (ICBME 2005), Singapore, 6-8 December, 2005.
Krishnan J, Chakravarthy V.S Solomon Victor, Vijaya Nayak and Radhakrishnan S, “ Neural Influence is essential for synchronization of Cardiac Oscillators – A Computational Model”, pp. 252, Proc. of the 51st Annual Conference of the Indian Association of Cardiovascular and Thoracic Surgery, Cochin, February 17-21, 2005.
Pradhan, R.K., Chakravarthy, V.S., “ChaoticCapillary Vasomotion in Skeletal Muscle is Crucial for Efficient Oxygenation: A Model.” 12th International Conference on BioMedical Engineering (ICBME 2005), Singapore, 6-8 December, 2005.
P. Sowjanya, K. Vijayalakshmi, G. Vijay Prakash, Kasi Rajan, M. S. Vidhya, T. Nagarajan, V. Srinivasa Chakravarthy, N.S.Narayanaswamy and Hema A. Murthy, “Handwriting interface enabled Tamil Search Engine,” National Communications Conference, 2005.
K.H. Aparna, Vidhya Subramanian, M. Kasirajan, G. Vijay Prakash, V.S. Chakravarthy, Sriganesh Madhvanath, “Online Handwriting Recognition for Tamil,” To be presented at Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR-9 2004), Kokubunji, Tokyo, Japan, October, 2004.
V.S. Chakravarthy & P.S. Prashanth &, “A Design for a Distributed Actuator inspired by the skeletal muscle,” Recent Trends and New Directions of Research in Cybernetics & Systems Theory, Guwahati, January, 2004.
S. Devarajan, P.S. Prashanth, V.S. Chakravarthy, “Chaotic activity of Basal Ganglia drives Exploration in a Neural Model based on Reinforcement Learning,” Biomedical Symposium at Stanford (BCATS), Stanford University, October, 2004.
S. Devarajan, P.S. Prashanth, V.S. Chakravarthy, “The Role of the Basal Ganglia in Exploration during Reinforcement Learning in Rats,” International Conference on Neural Information Processing (ICONIP-2004), ISI, Kolkata, November, 2004.
J. Krishnan, C. Shashikiran, V.S. Chakravarthy, S. Radhakrishnan, “Adaptive Gap Junctions as a basis of Cardiac Memory,” International Conference on Mathematical Biology, IIT, Kanpur, Feb 19-21, 2004.
K.H. Aparna & V.S. Chakravarthy, “A complete OCR system development of Tamil Magazine Documents,” Tamil Internet 2003, Chennai, August, 22-24, 2003.
K.H. Aparna, Sumanth Jagannathan, P. Krishnan and V.S. Chakravarthy, “An Optical character recognition system for Tamil newsprint,” National Conference on Communications, IIT, Madras, January, 2003.
V.S. Chakravarthy, S.T. Thomas, N. Nair, “A model for scheduling motor unit recruitment in skeletal muscle,” International Conference on Theoretical Neurobiology, National Brain Research Center, Gurgoan, February, 24-26, 2003.
Gowri Shankar, V. Anoop and V.S. Chakravarthy, “LEKHAK [MAL]: A System for online recognition of handwritten Malayalam characters,” National Conference on Communications, IIT, Madras, January, 2003.
N. Raghavan, M.P. Selvan, V.S. Chakravarthy, K. Vasudevan, V. Jayashankar, “Neural Network-based unit commitment of Wave Energy Units,” International Conference on Digital-aided Modeling and Simulation, 6-7 January, 2003, Coimbatore Institute of Technology, Coimbatore.
M. Udayshankar, M. Viswanathan, V.S. Chakravarthy, “Inevitable Energy Cost of Storage Capacity Enhancement in an Oscillatory Neural Network,” 46th IEEE International Midwest Symposium on Circuits and Systems, Cairo, Egypt, December, 2003.
M. Udayshankar, V.S. Chakravarthy, Anil Prabhakar, Neelima Gupte, “Controlling chaos using adaptive weights in an oscillatory neural network,” National Conference on Nonlinear Systems and Dynamics, IIT, Kharagpur, December, 2003.
K.H.Aparna, Sumanth Jaganathan, P.Krishnan, V.S.Chakravarthy, “An optical Character Recognition System for Tamil Newsprint,” International Conference on Universal Knowledge and Language – 2002, 25th-29th November 2002, Goa, India, 2002.
V.S. Chakravarthy, J. Krishnan, S. Radhakrishnan, Chaitanya Sai, “Gap Junction adaptation: A theory of Cardiac Memory,” XXIII Annual Conference of Indian Association of Biomedical Scientists, JIPMER, Pondicherry, 4-6 October, 2002.
V.S. Chakravarthy, V. Jayashankar, K. Vasudevan, S. Thomas, S. Jharia, “Towards a distributed Wave Power Generation System,” 12th National Power Systems Conference, IIT, Kharagpur, December 27-29, 2002.
A. Kumar, V. Manmohan, M. Udayshankar, M. Vishwanathan, V.S. Chakravarthy, “Link between Energy and Computation in a Physical Model of Hopfield Network,” ICONIP-2002, 18-22, November, Singapore, 2002.
B.J. Manikandan, Gowrishankar, V. Anoop, A. Datta, and V. S. Chakravarthy,, “LEKHAK: A System for Online Recognition of Handwritten Tamil Characters,” International Conference on Natural Language Processing (ICON), December, 2002.
M. Srinivas Rao, Gowrishankar, V.S.Chakravarthy, “Online Recognition of Handwritten Telugu Characters,” International Conference on Universal Knowledge and Language – 2002 (25th-29th November 2002, Goa, India, 2002.
A. Salhotra, S. Yogesh and V.S. Chakravarthy, “A Similarity Analysis of 9 Major Indian Scripts,” National Communications Conference, I.I.T, Mumbai, India, January 25-27, 2002.
N. Yoshimura, R.Sarathi, C.Venkataseshaiah, V.S.Chakravarthy & K.Ganesh, “Study of tracking phenomena in composite insulation materials under AC and DC voltages”. CBIP-International Conference on Recent trends in maintenance technologies of EHV transmission lines, New Delhi, India, April 29-30,2002.
V.S. Chakravarthy & Bhaskar Kompella, “The Shape of Handwritten Character,” National Conference on Document Analysis and Character Recognition - NCDAR, Mandya, 2001.
S. Ray, V. Jain, Rakshe Tejas S., V.S.Chakravarthy, S.Ravichandran, R.Sarathi, “Diagnosis of Faults in Transformer Winding using Neural Networks,” Indian Institute of Technology, Delhi, November 2-4, 2001.
R.Sarathi, V.S.Chakravarthy, R. Vasanthan, M. Ahamed Khan and C. Venkataseshaiah “Investigation of Tracking Phenomena in Polymeric Material,” International symposium on High Voltages-2001, August 21, Bangalore, India.
S.V. Chakravarthy, R.K. Chunduru, A.G. Mezzatesta, O.Fanini, “Detection of Bed Boundaries from Galvanic and Induction Tool Responses using Neural Networks,” 6th International Congress of Brazilian Geophysical Society, Rio de Janeiro, Aug 15-19, 1999.
S.V. Chakravarthy, R.K. Chunduru, A.G. Mezzatesta, O.Fanini, “Detection of Layer Boundaries from Array Induction Tool Responses using Neural Networks,” Society of Exploration Geophysics, 69th Annual Meeting, Houston, November 1-5, 1999.
S. Chakravarthy, J. Ghosh. A Neural network-based Associative Memory for Storing Complex-valued Patterns. In IEEE Int’l Conf. on Systems Man and Cybernetics, San Antonio, October, 1994.
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.
S. Chakravarthy, J. Ghosh. Scale-based clustering using Radial Basis Function Network. IEEE Int’l Conf. On Neural Networks, Orlando, July 1993.
S.V. Chakravarthy, J. Ghosh. Some properties of a complex Hopfield network In Neural Networks for Physicists #3, Theoretical Physics Institute, University of Minnesota, July 14-17, 1993.
S.V. Chakravarthy, J. Ghosh. Studies on a network of complex neurons. In Proc. Of SPIE vol. 1965 Applications of Artificial Neural Networks IV, pages 31 -43, April, 1993. (invited paper)
J. Ghosh, N. Gangishetti and S.V. Chakravarthy. Robust Classification of Variable Length Sonar Sequences. In Proc. Of SPIE vol. 1965 Applications of ANNs IV, pp 96-107, April 1993.
J. C. Hoskins, P. Lee and S.V. Chakravarthy. Polynomial modeling behavior in Radial Basis Function networks. In Proc. Of World Conf. on NNs, Portland OR., pages 693-699, July 1993.
J. Hoskins, S. Chakravarthy, B. Ferrol, V. Kelessidis, L. Prouvost, and D. Zighed. A Predictive Model of Mud Removal Efficiency using Historical Well Data. In Proc. Of Eighth Petroleum Computer Conference, New Orleans. July 1993.
J. Ghosh, and S. V. Chakravarthy. Rapid Kernel Classifier: A link between the Self-Organizing Feature Map and the Radial Basis Function network. In Proc. of ANNIE 92, pp 15-20, Nov 1992.
S. Chakravarthy, J. Ghosh, L. Deuser and S. Beck. Efficient training Procedures for Adaptive Kernel Classifiers. In Neural Networks for Signal Processing, pages 21-29. IEEE Press, 1991.
S.V. Chakravarthy, J. Ghosh and S. Jaikumar. Aspect Graph construction using a neural network of Radial Basis Functions. In Proc. ANNIE 91, pages 465-472, Nov 1991.
J. Ghosh, S. Chakravarthy, Y. Shin, C.Chu, L.Deuser, S. Beck, R. Still and J. Whiteley. Adaptive kernel classifiers for short-duration oceanic signals. In Proc. Of IEEE Conf. On Neural Networks for Ocean Engg., pages 41-48, August 1991