V. Chakravarthy

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Interaction of network and rehabilitation therapy parameters in defining recovery after stroke in a Bilateral Neural Network

Sundari Elango, Amal Jude Ashwin Francis, V. Chakravarthy, 2022, Journal of neuroengineering and rehabilitation.

A unified hierarchical oscillatory network model of head direction cells, spatially periodic cells, and place cells

Karthik Soman, Vignesh Muralidharan, V. S. Chakravarthy, 2018, The European journal of neuroscience.

Modeling the development of cortical responses in primate dorsal (“where”) pathway to optic flow using hierarchical neural field models

V. S. Chakravarthy, Anila Gundavarapu, V. Chakravarthy, 2022, bioRxiv.

Low-Dimensional Models of “Neuro-Glio-Vascular Unit” for Describing Neural Dynamics under Normal and Energy-Starved Conditions

V. Srinivasa Chakravarthy, Karishma Chhabria, D. Reutens, 2016, Front. Neurol..

Modeling the tonotopic map using a two-dimensional array of neural oscillators

Dipayan Biswas, V. Chakravarthy, A. Tarsode, 2022, bioRxiv.

A Cortico- Basal Ganglia Model for choosing an optimal rehabilitation strategy in Hemiparetic Stroke

V. S. Chakravarthy, Vignesh Muralidharan, Rukhmani Narayanamurthy, 2019, Scientific Reports.

A Cortico- Basal Ganglia Model for choosing an optimal rehabilitation strategy in Hemiparetic Stroke

V. S. Chakravarthy, S. Chakravarthy, Vignesh Muralidharan, 2018, Scientific Reports.

A Cortico-Basal Ganglia Model to Understand the Neural Dynamics of Targeted Reaching in Normal and Parkinson’s Conditions

V. Srinivasa Chakravarthy, Marjan Jahanshahi, Vignesh Muralidharan, 2018 .

Convolutional Elman Jordan Neural Network for Reconstruction and Classification Using Attention Window

Sweta Kumari, S. Aravindakshan, V. Srinivasa Chakravarthy, 2020, Advances in Intelligent Systems and Computing.

Elman and Jordan Recurrence in Convolutional Neural Networks Using Attention Window

Sweta Kumari, S. Aravindakshan, V. Srinivasa Chakravarthy, 2020 .

Exploring the cognitive and motor functions of the basal ganglia: an integrative review of computational cognitive neuroscience models

Sébastien Hélie, V. Srinivasa Chakravarthy, Ahmed A. Moustafa, 2013, Front. Comput. Neurosci..

Saccade Velocity Driven Oscillatory Network Model of Grid Cells

V. Srinivasa Chakravarthy, Karthik Soman, Ankur Chauhan, 2019, Front. Comput. Neurosci..

Does Neighborhood Floral Display Matter? Fruit Set in Carpenter Bee‐pollinated Heterophragma quadriloculare and Beetle‐pollinated Lasiosiphon eriocephalus

R. Borges, H. Somanathan, V. Chakravarthy, 2004 .

Influence of energy deficiency on the subcellular processes of Substantia Nigra Pars Compacta cell for understanding Parkinsonian neurodegeneration

V. R. Muddapu, V. Chakravarthy, 2021, Scientific Reports.

Effect of chaotic vasomotion in skeletal muscle on tissue oxygenation.

V. S. Chakravarthy, Anil Prabhakar, Ranjan K Pradhan, 2007, Microvascular research.

Bipolar oscillations between positive and negative mood states in a computational model of Basal Ganglia

P. Balasubramani, V. Srinivasa Chakravarthy, V. Chakravarthy, 2017, bioRxiv.

A network model of basal ganglia for understanding the roles of dopamine and serotonin in reward-punishment-risk based decision making

Balaraman Ravindran, V. Srinivasa Chakravarthy, Ahmed A. Moustafa, 2015, Front. Comput. Neurosci..

The Motor, Cognitive, Affective, and Autonomic Functions of the Basal Ganglia

V. S. Chakravarthy, A. Moustafa, P. Balasubramani, 2018 .

Neurodegenerative Diseases – Is Metabolic Deficiency the Root Cause?

M. M. Gromiha, S. Dharshini, V. R. Muddapu, 2020, Frontiers in Neuroscience.

The Role of the Basal Ganglia in Exploration in a Neural Model Based on Reinforcement Learning

V. S. Chakravarthy, P. S. Prashanth, D. Sridharan, 2006, Int. J. Neural Syst..

A computational model of planarian regeneration

V. Srinivasa Chakravarthy, Michael Levin, Abhishek De, 2017, Int. J. Parallel Emergent Distributed Syst..

A Model of Motion Processing in the Visual Cortex Using Neural Field With Asymmetric Hebbian Learning

V. Srinivasa Chakravarthy, Anila Gundavarapu, Karthik Soman, 2019, Front. Neurosci..

Modeling component and pattern motion selectivity in the mt area of visual cortex

V. Srinivasa Chakravarthy, Anila Gundavarapu, Karthik Soman, 2017, 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

The mapping of eccentricity and meridional angle onto orthogonal axes in the primary visual cortex: an activity-dependent developmental model

V. Srinivasa Chakravarthy, Ryan Thomas Philips, V. Chakravarthy, 2015, Front. Comput. Neurosci..

Life in Motion

V. S. Chakravarthy, V. Chakravarthy, 2018, Demystifying the Brain.

A deep network-based model of hippocampal memory functions under normal and Alzheimer’s disease conditions

Balaraman Ravindran, V. Chakravarthy, Tamizharasan Kanagamani, 2021, bioRxiv.

A Complex-Valued Oscillatory Neural Network for Storage and Retrieval of Multidimensional Aperiodic Signals

V. Srinivasa Chakravarthy, Dipayan Biswas, Sooryakiran Pallikkulath, 2021, Frontiers in Computational Neuroscience.

A Complex-valued Oscillatory Neural Network for Storage and Retrieval of Multichannel Electroencephalogram Signals

Dipayan Biswas, P. Sooryakiran, V. Srinivasa Chakravarthy, 2020, bioRxiv.

Pathways of Light

V. Srinivasa Chakravarthy, V. Chakravarthy, V. Srinivasa Chakravarthy, 2018, Demystifying the Brain.

Demystifying the Brain

V. Srinivasa Chakravarthy, V. Chakravarthy, Dr. V. Srinivasa Chakravarthy, 2018, Springer Singapore.

The Stuff that Minds Are Made of

V. Chakravarthy, V. Srinivasa Chakravarthy, 2018, Demystifying the Brain.

A Computational Model of Neuro-Glio-Vascular Loop Interactions

V. Srinivasa Chakravarthy, S. Chakravarthy, Bankim Subhash Chander, 2012, PloS one.

A Model of Multisensory Integration and Its Influence on Hippocampal Spatial Cell Responses

V. Srinivasa Chakravarthy, Karthik Soman, Vignesh Muralidharan, 2018, IEEE Transactions on Cognitive and Developmental Systems.

Phase and Amplitude Modulation in a Neural Oscillatory Model of the Orientation Map

V. Srinivasa Chakravarthy, Avinash Kori, Bhadra S. Kumar, 2018, ICONIP.

Influence of Energy Deficiency on the Molecular Processes of Substantia Nigra Pars Compacta Cell for Understanding Parkinsonian Neurodegeneration: A Comprehensive Biophysical Computational Model

V. S. Chakravarthy, V. R. Muddapu, V. Chakravarthy, 2020, bioRxiv.

Modeling Basal Ganglia for Understanding Parkinsonian Reaching Movements

Shun-ichi Amari, Balaraman Ravindran, V. Srinivasa Chakravarthy, 2010, Neural Computation.

The Flip-flop neuron – A memory efficient alternative for solving challenging sequence processing and decision making problems

S. Kumari, C. Vigneswaran, V. Chakravarthy, 2021, bioRxiv.

A computational basal ganglia model to assess the role of STN-DBS on Impulsivity in Parkinson's disease

V. Srinivasa Chakravarthy, Mandali Alekhya, V. Chakravarthy, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

A Multiscale, Systems-Level, Neuropharmacological Model of Cortico-Basal Ganglia System for Arm Reaching Under Normal, Parkinsonian, and Levodopa Medication Conditions

V. Srinivasa Chakravarthy, Vignayanandam Ravindernath Muddapu, Sandeep Sathyanandan Nair, 2022, Frontiers in Computational Neuroscience.

A Multiscale, Systems-Level, Neuropharmacological Model of Cortico-Basal Ganglia System for Arm Reaching Under Normal, Parkinsonian, and Levodopa Medication Conditions

V. R. Muddapu, S. S. Nair, V. Chakravarthy, 2021, bioRxiv.

The Molecular, Cellular, and Systems-Level Structure of the Basal Ganglia

V. S. Chakravarthy, A. Moustafa, Alekhya Mandali, 2018 .

Modeling the Contributions of Basal Ganglia and Hippocampus to Spatial Navigation Using Reinforcement Learning

V. Srinivasa Chakravarthy, Maithreye Rengaswamy, Deepika Sukumar, 2012, PloS one.

What do the basal ganglia do? A modeling perspective

V. Srinivasa Chakravarthy, Raju S. Bapi, Denny Joseph, 2010, Biological Cybernetics.

Probing the Role of Medication, DBS Electrode Position, and Antidromic Activation on Impulsivity Using a Computational Model of Basal Ganglia

V. S. Chakravarthy, Alekhya Mandali, V. Chakravarthy, 2016, Front. Hum. Neurosci..

A comparative study of complexity of handwritten Bharati characters with that of major Indian scripts

V. Srinivasa Chakravarthy, Manali Naik, V. Chakravarthy, 2016, 2017 International Joint Conference on Neural Networks (IJCNN).

A computational model of Parkinsonian handwriting that highlights the role of the indirect pathway in the basal ganglia.

V. S. Chakravarthy, G. Gangadhar, A. V. Srinivasan, 2009, Human movement science.

Brain—Through the Aeons

V. Chakravarthy, 2018, Demystifying the Brain.

Modeling Serotonin’s Contributions to Basal Ganglia Dynamics

V. S. Chakravarthy, Balaraman Ravindran, A. Moustafa, 2018 .

Identifying the Basal Ganglia Network Model Markers for Medication-Induced Impulsivity in Parkinson's Disease Patients

Balaraman Ravindran, V. Srinivasa Chakravarthy, Pragathi Priyadharsini Balasubramani, 2015, PloS one.

The Basal Ganglia System as an Engine for Exploration

V. S. Chakravarthy, P. Balasubramani, V. Chakravarthy, 2018 .

An Oscillatory Neural Autoencoder Based on Frequency Modulation and Multiplexing

V. Srinivasa Chakravarthy, Karthik Soman, Vignesh Muralidharan, 2018, Front. Comput. Neurosci..

A computational model of altered gait patterns in parkinson's disease patients negotiating narrow doorways

V. Srinivasa Chakravarthy, Simon J. G. Lewis, Ahmed A. Moustafa, 2014, Front. Comput. Neurosci..

An efficient multiclassifier system based on convolutional neural network for offline handwritten Telugu character recognition

V. Srinivasa Chakravarthy, Soumya T Soman, Ashakranthi Nandigam, 2013, 2013 National Conference on Communications (NCC).

Feeling the World

V. S. Chakravarthy, V. Chakravarthy, 2018, Demystifying the Brain.

A Complex-Valued Hopfield Neural Network: Dynamics and Applications

V. Srinivasa Chakravarthy, V. Chakravarthy, 2009 .

Modeling the Effect of Environmental Geometries on Grid Cell Representations

V. Srinivasa Chakravarthy, Karthik Soman, Vignesh Muralidharan, 2019, Front. Neural Circuits.

A computational model that explores the effect of environmental geometries on grid cell representations

V. S. Chakravarthy, Karthik Soman, Vignesh Muralidharan, 2017, bioRxiv.

Do Basal Ganglia Amplify Willed Action by Stochastic Resonance? A Model

V. S. Chakravarthy, Derek Abbott, V. Chakravarthy, 2013, PloS one.

A Multi-Scale Computational Model of Levodopa-Induced Toxicity in Parkinson's Disease

V. R. Muddapu, Karthikeyan A Vijayakumar, Keerthiga Ramakrishnan, 2022, Frontiers in Neuroscience.

A Computational Model of Levodopa-Induced Toxicity in Substantia Nigra Pars Compacta in Parkinson’s Disease

V. S. Chakravarthy, V. R. Muddapu, Karthikeyan A Vijayakumar, 2020, bioRxiv.

A Multi-Scale Computational Model of Excitotoxic Loss of Dopaminergic Cells in Parkinson's Disease

V. S. Chakravarthy, V. R. Muddapu, V. Chakravarthy, 2020, Frontiers in Neuroinformatics.

A Multi-Scale Computational Model of Excitotoxic Loss of Dopaminergic Cells in Parkinson's Disease

V. Srinivasa Chakravarthy, Vignayanandam Ravindernath Muddapu, V. R. Muddapu, 2020, bioRxiv.

A Computational Model of Loss of Dopaminergic Cells in Parkinson's Disease Due to Glutamate-Induced Excitotoxicity

V. S. Chakravarthy, S. Ramaswamy, S. Chakravarthy, 2018, bioRxiv.

An Oscillatory Network Model of Head Direction, Spatially Periodic Cells and Place Cells Using Locomotor Inputs

V. S. Chakravarthy, Karthik Soman, Vignesh Muralidharan, 2016, bioRxiv.

Understanding Parkinsonian Handwriting Through a Computational Model of Basal Ganglia

V. Srinivasa Chakravarthy, Denny Joseph, Garipelli Gangadhar, 2008, Neural Computation.

Circuits of Emotion

V. Chakravarthy, 2018, Demystifying the Brain.

‘A Generalized Reinforcement Learning-Based Deep Neural Network (GRL-DNN) Agent Model for Diverse Cognitive Constructs

V. S. Chakravarthy, P. Balasubramani, D. Ramanathan, 2022, bioRxiv.

Electrode Position and Current Amplitude Modulate Impulsivity after Subthalamic Stimulation in Parkinsons Disease—A Computational Study

V. S. Chakravarthy, A. Kishore, R. Rajan, 2016, Front. Physiol..

Studying the Effect of Dopaminergic Medication and STN–DBS on Cognitive Function Using a Spiking Basal Ganglia Model

Alekhya Mandali, V. Chakravarthy, 2018 .

A Neurocomputational Model of the Effect of Cognitive Load on Freezing of Gait in Parkinson's Disease

V. S. Chakravarthy, A. Moustafa, P. Balasubramani, 2017, Front. Hum. Neurosci..

A Basal Ganglia Model of Freezing of Gait in Parkinson’s Disease

V. S. Chakravarthy, A. Moustafa, P. Balasubramani, 2018 .

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

Balaraman Ravindran, V. Srinivasa Chakravarthy, Ahmed A. Moustafa, 2014, Front. Comput. Neurosci..

Computational model of precision grip in Parkinson's disease: a utility based approach

V. Srinivasa Chakravarthy, Ankur Gupta, Pragathi Priyadharsini Balasubramani, 2013, Front. Comput. Neurosci..

On the neural substrates for exploratory dynamics in basal ganglia: A model

V. Srinivasa Chakravarthy, Neelima Gupte, Maithreye Rengaswamy, 2012, Neural Networks.

Basal Ganglia System as an Engine for Exploration

V. Srinivasa Chakravarthy, Pragathi Priyadharsini Balasubramani, P. Balasubramani, 2014, Encyclopedia of Computational Neuroscience.

A spiking Basal Ganglia model of synchrony, exploration and decision making

V. Srinivasa Chakravarthy, Alekhya Mandali, Maithreye Rengaswamy, 2015, Front. Neurosci..

Memory Consolidation with Orthogonal Gradients for avoiding Catastrophic Forgetting

R. Menon, B. Ravindran, V. Chakravarthy, 2022, bioRxiv.

ACE (Actor-Critic-Explorer) paradigm for reinforcement learning in basal ganglia: Highlighting the role of subthalamic and pallidal nuclei

V. Srinivasa Chakravarthy, Denny Joseph, Garipelli Gangadhar, 2010, Neurocomputing.

Expanding the Go/NoGo depiction of the action of Basal Ganglia pathways

V. Srinivasa Chakravarthy, Neelima Gupte, Maithreye Rengaswamy, 2011, The 2011 International Joint Conference on Neural Networks.

A model of the neural substrates for exploratory dynamics in basal ganglia.

V. S. Chakravarthy, V. Chakravarthy, V. Chakravarthy, 2013, Progress in brain research.

Artificial neurovascular network (ANVN) to study the accuracy vs. efficiency trade-off in an energy dependent neural network

V. S. Chakravarthy, Bhadra S. Kumar, Nagavarshini Mayakkannan, 2021, Scientific Reports.

Author Correction: Artificial neurovascular network (ANVN) to study the accuracy vs. efficiency trade-off in an energy dependent neural network

Bhadra S. Kumar, Nagavarshini Mayakkannan, N Sowmya Manojna, 2021, Scientific Reports.

Modeling the role of basal ganglia in saccade generation: Is the indirect pathway the explorer?

R. Krishnan, S. Ratnadurai, D. Subramanian, 2011, Neural Networks.

A spiking network model of basal ganglia to study the effect of dopamine medication and STN-DBS during probabilistic learning task

Alekhya Mandali, V. Chakravarthy, 2015, BMC Neuroscience.

The Basal Ganglia: Summary and Future Modeling Research

V. S. Chakravarthy, A. Moustafa, V. Chakravarthy, 2018 .

Modeling Serotonin’s Contributions to Basal Ganglia Dynamics in Parkinson’s Disease with Impulse Control Disorders

Balaraman Ravindran, A. Moustafa, P. Balasubramani, 2018 .

Synchronization and Exploration in Basal Ganglia—A Spiking Network Model

V. Srinivasa Chakravarthy, Alekhya Mandali, Alekhya Mandali, 2018 .

Online Handwritten Character Recognition of Devanagari and Telugu Characters using Support Vector Machines

C. Chandra Sekhar, V. Srinivasa Chakravarthy, H. Swethalakshmi, 2006 .

A Biologically Plausible Architecture of the Striatum to Solve Context-Dependent Reinforcement Learning Tasks

V. S. Chakravarthy, Vignesh Muralidharan, Sabyasachi Shivkumar, 2017, Front. Neural Circuits.

Understanding the Role of Serotonin in Basal Ganglia through a Unified Model

Balaraman Ravindran, V. Srinivasa Chakravarthy, Pragathi Priyadharsini Balasubramani, 2012, ICANN.

A Model of Indispensability of a Large Glial Layer in Cerebrovascular Circulation

V. S. Chakravarthy, Rohit Gandrakota, Ranjan K. Pradhan, 2010, Neural Computation.

Modeling the Role of the Striatum in Non-Stationary Bandit Tasks

Sabyasachi Shivkumar, Nicolas P. Rougier, V. Srinivasa Chakravarthy, 2018 .

The influence of astrocytes on the width of orientation hypercolumns in visual cortex: A computational perspective

V. Srinivasa Chakravarthy, Ryan Thomas Philips, Mriganka Sur, 2017, PLoS Comput. Biol..

An oscillatory neuromotor model of handwriting generation

V. Srinivasa Chakravarthy, Denny Joseph, Garipelli Gangadhar, 2007, International Journal of Document Analysis and Recognition (IJDAR).

Maps, Maps Everywhere

V. Chakravarthy, 2018, Demystifying the Brain.

A Basal Ganglia Model for understanding Working Memory Functions in Healthy and Parkinson’s Conditions

S. S. Nair, V. Chakravarthy, Vigneswaran C, 2023, bioRxiv.

The development of bi-directionally coupled self-organizing neurovascular networks captures orientation-selective neural and hemodynamic cortical responses

Bhadra S. Kumar, P. Kara, V. Chakravarthy, 2021, bioRxiv.

Go-Explore-NoGo (GEN) Paradigm in Decision Making—A Multimodel Approach

V. Srinivasa Chakravarthy, Alekhya Mandali, S. Akila Parvathy Dharshini, 2018 .

Vascular Dynamics Aid a Coupled Neurovascular Network Learn Sparse Independent Features: A Computational Model

V. Srinivasa Chakravarthy, Ryan T. Philips, Karishma Chhabria, 2016, Front. Neural Circuits.

An Oscillatory Neural Network Model for Birdsong Learning and Generation: Implications for the Role of Dopamine in Song Learning

Balaraman Ravindran, V. Srinivasa Chakravarthy, M. Maya, 2018 .

A computational model that links non-periodic vasomotion to enhanced oxygenation in skeletal muscle.

R. Pradhan, V. Chakravarthy, 2007, Mathematical biosciences.

A Global Orientation Map in the Primary Visual Cortex (V1): Could a Self Organizing Model Reveal Its Hidden Bias?

V. Srinivasa Chakravarthy, Ryan T. Philips, V. Chakravarthy, 2017, Front. Neural Circuits.

A Gossamer of Words

V. Chakravarthy, 2018, Demystifying the Brain.

Desynchronized vasomotion and desynchronized fiber activation pattern enhance oxygenation in a model of skeletal muscle.

R. Pradhan, V. Chakravarthy, 2009, Journal of theoretical biology.

Simulation of Cardiac Arrhythmias Using a 2D Heterogeneous Whole Heart Model

V. Chakravarthy, Minimol Balakrishnan, Soma Guhathakurta, 2015, Front. Physiol..

A phenomenological model of whole brain dynamics using a network of neural oscillators with power-coupling

Dipayan Biswas, V. Chakravarthy, Anirban Bandyopadhyay, 2023, Scientific reports.

An oscillator theory of motor unit recruitment

V. S. Chakravarthy, P. Prashanth, V. Chakravarthy, 2007, Biological Cybernetics.

Online handwriting recognition for Tamil

Sriganesh Madhvanath, K. H. Aparna, V. S. Chakravarthy, 2004, Ninth International Workshop on Frontiers in Handwriting Recognition.

Modeling Precision Grip Force in Controls and Parkinson’s Disease Patients

V. S. Chakravarthy, Ankur Gupta, V. Chakravarthy, 2018 .

Modeling task-specific manifestations of serotonin in basal ganglia using risk-based decision making

Balaraman Ravindran, V Srinivasa Chakravarthy, Ahmed A Moustafa, 2014, BMC Neuroscience.

A phase dynamic model of systematic error in simple copying tasks

V. S. Chakravarthy, Saguna Dubey, Sandeep Sambaraju, 2009, Biological Cybernetics.

Modeling whole brain Electroencephalogram (EEG) in a spatially organized oscillatory neural network

S. Vijayan, Sayan Ghosh, Dipayan Biswas, 2023, bioRxiv.

A Computational Study of the Role of the Sub-thalamic Nucleus in Behavioral Switching During Saccadic Movements

V. S. Chakravarthy, R. Maithreye, V. Chakravarthy, 2013 .

The flip-flop neuron: a memory efficient alternative for solving challenging sequence processing and decision-making problems

S. Kumari, V. Chakravarthy, Vigneswaran Chandrasekaran, 2023, Neural Computing and Applications.

Memories and Holograms

V. Chakravarthy, 2018, Demystifying the Brain.