Publications

Journals

2021

1. Vignayanandam R. Muddapu, & V. Srinivasa Chakravarthy (2021) Influence of Energy Deficiency on the Subcellular Processes of Substantia Nigra Pars Compacta Cell for Understanding Parkinsonian Neurodegeneration, Nature Scientific Reports.

2020

1. 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.

2. 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.

2019

1. P. P. Balasubramani, & V. Srinivasa Chakravarthy (2019) Bipolar oscillations between positive and negative mood states in a computational model of Basal Ganglia, Cognitive Neurodynamics, Springer.

2. 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. ModelDB

2018

1. Chakravarthy, V.S., Balasubramani, P.P., Mandali, A., Jahanshahi, M., Moustafa., A.A. (2018) 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.

2017

1. Shivkumar, Sabyasachi, Vignesh Muralidharan, and V. Srinivasa Chakravarthy (2017) A Biologically Plausible Architecture of the Striatum to Solve Context-Dependent Reinforcement Learning Tasks Frontiers in neural circuits.

2. Vignesh Muralidharan, Pragathi Priyadharsini Balasubramani, Srinivasa Chakravarthy, Moran Gilat, Simon JG Lewis, Ahmed A. Moustafa (2017), A neurocomputational model of the effect of cognitive load on freezing of gait in Parkinson's disease, Frontiers in Human Neuroscience.

2016

1. 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

2. 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

3. 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

4. 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 2016

2015

1. 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, 2015

2. 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, 2015

3. 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, 2015

2014

1. 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, 2014

2013

1. 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

2. Chakravarthy VS (2013) Do Basal Ganglia Amplify Willed Action by Stochastic Resonance? A Model. PLoS ONE 8(11): e75657

3. 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

4. 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, 2013

2012

1. 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

2. 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

2011

1. 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

2. 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

2010

1. 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

2. 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

2009

1. 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

2008

1. G. Gangadhar, D. Joseph, V.S. Chakravarthy, Understanding Parkinsonian Handwriting using a computational model of basal ganglia, Neural Computation, 20, 1–35 (2008)

2006

1. 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

Preprints

1. Sandeep Sathyanandan Nair, Vignayanandam R. Muddapu & V. Srinivasa Chakravarthy (2021) A Multiscale, Systems-level, Neuropharmacological Model of Cortico-Basal Ganglia System for Arm Reaching under Normal, Parkinsonian and Levodopa Medication Conditions, bioRxiv 2021.02.10.430544.

2. 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.

3. Shivkumar, S., Chakravarthy, V. S., & Rougier, N. P. (2018). Modeling the Role of the Striatum in Non-Stationary Bandit Tasks. bioRxiv.

Book(s)

1. Chakravarthy VS, Moustafa AA (2018) Computational Neuroscience Models of the Basal Ganglia. Singapore: Springer Singapore.

Book Chapters

1. Nair S.S., Muddapu V.R.J., Sriram M., Aditya R., Gupta R., Chakravarthy S. (2022) Is There a Better Way to Assess Parkinsonian Motor Symptoms?—Experimental and Modelling Approach. In: Arjunan S.P., Kumar D.K. (eds) Techniques for Assessment of Parkinsonism for Diagnosis and Rehabilitation. Series in BioEngineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-3056-9_10

2. Alekhya Mandali, Srinivasa Chakravarthy V, Ahmed A. Moustafa , A neuro-computational model of Pallidal vs. Subthalamic Deep Brain Stimulation Effect on synchronization at Tremor frequency in Parkinson’s disease, Vassilis Cutsuridis (Ed.), Multiscale Models of Brain Disorders, Springer, 2019

3. Balasubramani, P.P, Chakravarthy, S., Wong-Lin, K., Wang, D.,Cohen, J. Y.,, Nakamura, K., and Moustafa,, A. A. (in press). Neural circuit models of serotonergic system: From microcircuits to cognition. In A. Moustafa (Ed.) Computational models of Brain and Behavior. Wiley-Blackwell, 2017,(pp 389-400)

4. Chakravarthy V.S., Balasubramani, P.P. Basal Ganglia System as an Engine for Exploration, In Encyclopedia of Computational Neuroscience. (ed.) J.R. Jaeger D. (Berlin Heidelberg), 2014

5. V. S. Chakravarthy, A model of the neural substrates for exploratory dynamics in Basal Ganglia, In Progress in Brain Research: Decision Making: Neural and Behavioural Approaches, Edited by V. S. Chandrasekhar Pammi and Narayanan Srinivasan, Elsevier, 2012

6. Denny Joseph, Garipelli Gangadhar, V. Srinivasa Chakravarthy, ACE (Actor - Critic - Explorer) Paradigm for Reinforcement Learning in Basal Ganglia: Highlighting the role of the Indirect Pathway, Srinivasan, N., Kar, B. R., & Pandey, J. (Eds.). (forthcoming) Advances in Cognitive Science: Volume 2, Sage Publications, India, 2012

Lectures

1. V.S. Chakravarthy, What do the Basal Ganglia Do? Neurobiology and Neuroinformatics Conference, Jeju, Korea, July 2007 (Invited lecture)

Conference Proceedings

2022

1. Sandeep Sathyanandan Nair, Vigneswaran C & V. Srinivasa Chakravarthy, Modelling working memory functions of the basal ganglia, CNS 2022 ,Organization of Computational Neuroscience (OCNS) , Melbourne, Australia, 16-20 July 2022. Poster.

2021

2. Sandeep Sathyanandan Nair, Vignayanandam R. Muddapu & V. Srinivasa Chakravarthy, A Multiscale Computational Model of Levodopa Medication Effect on Arm Reaching in Parkinson's Disease, Bernstein Conference (Virtual), September 21 - 23, 2021 (Accepted).

3. Sandeep Sathyanandan Nair, Vignayanandam R. Muddapu & V. Srinivasa Chakravarthy, Differential dopaminergic axonal degeneration manifest into tremor-like and rigidity-like Parkinsonian symptoms: A computational investigation, Society for Neuroscience (SfN) Global Connectome 2020 (Virtual), January 11 - 13, 2021 (Accepted).

2020

4. Sandeep S. 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).

5. Vignayanandam R. Muddapu, Pragathi Priyadharsini Balasubramani, Jyoti Mishra, Dhakshin S. Ramanathan , V. Srinivasa Chakravarthy (2020) A Generalized Reinforcement Learning-Based Deep Neural Network Model for Diverse Cognitive Constructs. Bernstein Conference 2020.

6. 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).

7. 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 (Accepted).

8. 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 2020 to be held in Dubrovnik, Croatia (Accepted).

2019

1. 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.

2. 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.

3. 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.

2017

1. Vignayanandam R. Muddapu, V. Srinivasa 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. Poster

2. Pragathi P. Balasubramani, V. Srinivasa 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. Poster

2016

1. 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, Organization of Computational Neuroscience (OCNS) , Jeju Island, South Korea, 2016.

2. Sabyasachi Shivkumar, Muralidharan V., V. S. Chakravarthy, A computational architecture to model the microanatomy of the striatum and its functional properties, Organization of Computational Neuroscience (OCNS) , Jeju Island, South Korea, 2016.

2015

1. 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, Organization of Computational Neuroscience (OCNS) , Prague, Czech Republic, 2015.

2. 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 .

3. 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.

4. 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.

2014

1. 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, Organization of Computational Neuroscience (OCNS) , Québec City, Canada, 2014.

2012

1. Pragathi Priyadharsini, B. Ravindran, V. S. Chakravarthy, Understanding the role of Serotonin in Basal Ganglia through a unified model, International Conference on Artificial Neural Networks (ICANN2012), Lausanne, Switzerland, 2012.

2011

1. V. 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.

2. Sanjeeva Kumar Kalva, Maithreye Rengaswamy, Neelima Gupte and V. 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.

3. 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.

4. 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 .

2010

1. 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.

2. 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.

3. 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.

2009

1. Deepika Sukumar, V. Srinivasa Chakravarthy, A Computational Neuromotor Model of the Role of Basal Ganglia in Spatial Navigation, Bernstein Conference on Computational Neuroscience, Frankfurt, Germany, September 30th - October 2nd, 2009.

2. 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.

3. 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.

2007

1. 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.

2. 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.

2006

1. 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.

2. 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.

2004

1. 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.

2. 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.