V. Srinivasa Chakravarthy

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 24

Top Topics

Handwritten Text

Top Venues

Frontiers Comput. Neurosci.

Publications

Nurani Rajagopal Rohan, Vigneswaran C, Sayan Ghosh, Kishore Rajendran, Gaurav A, V. Srinivasa Chakravarthy
Deep Oscillatory Neural Network. CoRR (2024)
Akhil Bonagiri, Dipayan Biswas, V. Srinivasa Chakravarthy
Coupled Memristor Oscillators for Neuromorphic Locomotion Control: Modeling and Analysis. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Pranav Guruprasad, Sujith Kumar S, Vigneswaran C, V. Srinivasa Chakravarthy
An end-to-end, interactive Deep Learning based Annotation system for cursive and print English handwritten text. CoRR (2023)
Sweta Kumari, Vigneswaran Chandrasekaran, V. Srinivasa Chakravarthy
The flip-flop neuron: a memory efficient alternative for solving challenging sequence processing and decision-making problems. Neural Comput. Appl. 35 (34) (2023)
Tamizharasan Kanagamani, Madhuvanthi Muliya, V. Srinivasa Chakravarthy, Balaraman Ravindran, Ramshekhar N. Menon
Oscillatory Network and Deep Value Network Based Memory Replay Model of Hippocampus. PReMI (2023)
Sweta Kumari, V. Y. Shobha Amala, M. Nivethithan, V. Srinivasa Chakravarthy
BIAS-3D: Brain inspired attentional search model fashioned after what and where/how pathways for target search in 3D environment. Frontiers Comput. Neurosci. 16 (2022)
Sweta Kumari, V. Srinivasa Chakravarthy
Biologically inspired image classifier based on saccadic eye movement design for convolutional neural networks. Neurocomputing 513 (2022)
Abhijeet Sinha, Sweta Kumari, V. Srinivasa Chakravarthy
Brain-Inspired Attention Model for Object Counting. ICONIP (2) (2022)
Anirban Bandyopadhyay, Sayan Ghosh, Dipayan Biswas, Raju Surampudi Bapi, V. Srinivasa Chakravarthy
A Phenomenological Deep Oscillatory Neural Network Model to Capture the Whole Brain Dynamics in Terms of BOLD Signal. ICONIP (2) (2022)
Dipayan Biswas, V. Srinivasa Chakravarthy, Asit Sharad Tarsode
Modeling the tonotopic map using a two-dimensional array of neural oscillators. Frontiers Comput. Neurosci. 16 (2022)
Sandeep Sathyanandan Nair, Vignayanandam Ravindernath Muddapu, 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 Comput. Neurosci. 15 (2021)
F. Amal Jude Ashwin, V. Srinivasa Chakravarthy, Sunil Kumar Kopparapu
An AI-Based Detection System for Mudrabharati: A Novel Unified Fingerspelling System for Indic Scripts. TDS (2021)
Bhadra S. Kumar, Aditi Khot, V. Srinivasa Chakravarthy, S. Pushpavanam
A Network Architecture for Bidirectional Neurovascular Coupling in Rat Whisker Barrel Cortex. Frontiers Comput. Neurosci. 15 (2021)
Dipayan Biswas, Sooryakiran Pallikkulath, V. Srinivasa Chakravarthy
A Complex-Valued Oscillatory Neural Network for Storage and Retrieval of Multidimensional Aperiodic Signals. Frontiers Comput. Neurosci. 15 (2021)
Vignayanandam Ravindernath Muddapu, V. Srinivasa Chakravarthy
A Multi-Scale Computational Model of Excitotoxic Loss of Dopaminergic Cells in Parkinson's Disease. Frontiers Neuroinformatics 14 (2020)
Ankur Chauhan, Karthik Soman, V. Srinivasa Chakravarthy
Saccade Velocity Driven Oscillatory Network Model of Grid Cells. Frontiers Comput. Neurosci. 12 (2018)
Karthik Soman, Vignesh Muralidharan, V. Srinivasa Chakravarthy
A Model of Multisensory Integration and Its Influence on Hippocampal Spatial Cell Responses. IEEE Trans. Cogn. Dev. Syst. 10 (3) (2018)
Karthik Soman, Vignesh Muralidharan, V. Srinivasa Chakravarthy
An Oscillatory Neural Autoencoder Based on Frequency Modulation and Multiplexing. Frontiers Comput. Neurosci. 12 (2018)
Bhadra S. Kumar, Avinash Kori, Sundari Elango, V. Srinivasa Chakravarthy
Phase and Amplitude Modulation in a Neural Oscillatory Model of the Orientation Map. ICONIP (2) (2018)
Anila Gundavarapu, Karthik Soman, V. Srinivasa Chakravarthy
Modeling component and pattern motion selectivity in the mt area of visual cortex. ICACCI (2017)
Ryan Thomas Philips, Mriganka Sur, V. Srinivasa Chakravarthy
The influence of astrocytes on the width of orientation hypercolumns in visual cortex: A computational perspective. PLoS Comput. Biol. 13 (10) (2017)
Abhishek De, V. Srinivasa Chakravarthy, Michael Levin
A computational model of planarian regeneration. Int. J. Parallel Emergent Distributed Syst. 32 (4) (2017)
Manali Naik, V. Srinivasa Chakravarthy
A comparative study of complexity of handwritten Bharati characters with that of major Indian scripts. IJCNN (2017)
Manali Naik, V. Srinivasa Chakravarthy
A comparative study of complexity of handwritten Bharati characters with that of major Indian scripts. CoRR (2016)
Mandali Alekhya, V. Srinivasa Chakravarthy
A computational basal ganglia model to assess the role of STN-DBS on Impulsivity in Parkinson's disease. IJCNN (2015)
Pragathi Priyadharsini Balasubramani, V. Srinivasa Chakravarthy, Balaraman Ravindran, Ahmed A. Moustafa
A network model of basal ganglia for understanding the roles of dopamine and serotonin in reward-punishment-risk based decision making. Frontiers Comput. Neurosci. 9 (2015)
Ryan Thomas Philips, V. Srinivasa Chakravarthy
The mapping of eccentricity and meridional angle onto orthogonal axes in the primary visual cortex: an activity-dependent developmental model. Frontiers Comput. Neurosci. 9 (2015)
Pragathi Priyadharsini Balasubramani, V. Srinivasa Chakravarthy, Balaraman Ravindran, Ahmed 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 Comput. Neurosci. 8 (2014)
Ankur Gupta, Pragathi Priyadharsini Balasubramani, V. Srinivasa Chakravarthy
Computational model of precision grip in Parkinson's disease: a utility based approach. Frontiers Comput. Neurosci. 7 (2013)
Vignesh Muralidharan, Pragathi Priyadharsini Balasubramani, V. Srinivasa Chakravarthy, Simon J. G. Lewis, Ahmed A. Moustafa
A computational model of altered gait patterns in Parkinson's Disease patients negotiating narrow doorways. Frontiers Comput. Neurosci. 7 (2013)
Sébastien Hélie, V. Srinivasa Chakravarthy, Ahmed A. Moustafa
Exploring the cognitive and motor functions of the basal ganglia: an integrative review of computational cognitive neuroscience models. Frontiers Comput. Neurosci. 7 (2013)
Pragathi Priyadharsini Balasubramani, Balaraman Ravindran, V. Srinivasa Chakravarthy
Understanding the Role of Serotonin in Basal Ganglia through a Unified Model. ICANN (1) (2012)
Sanjeeva K. Kalva, Maithreye Rengaswamy, V. Srinivasa Chakravarthy, Neelima Gupte
On the neural substrates for exploratory dynamics in basal ganglia: A model. Neural Networks 32 (2012)
K. N. Magdoom, Deepak Subramanian, V. Srinivasa Chakravarthy, Balaraman Ravindran, Shun-ichi Amari, N. Meenakshisundaram
Modeling Basal Ganglia for Understanding Parkinsonian Reaching Movements. Neural Comput. 23 (2) (2011)
Kumar Sanjeeva, Maithreye Rengaswamy, Neelima Gupte, V. Srinivasa Chakravarthy
Expanding the Go/NoGo depiction of the action of Basal Ganglia pathways. IJCNN (2011)
Ravi Krishnan, Shivakesavan Ratnadurai, Deepak Subramanian, V. Srinivasa Chakravarthy, Maithreye Rengaswamy
Modeling the role of basal ganglia in saccade generation: Is the indirect pathway the explorer? Neural Networks 24 (8) (2011)
Mohamed Yacin Sikkandar, V. Srinivasa Chakravarthy, M. Manivannan
Reconstruction of gastric slow wave from finger photoplethysmographic signal using radial basis function neural network. Medical Biol. Eng. Comput. 49 (11) (2011)
Vishwanathan Mohan, Pietro Morasso, Jacopo Zenzeri, Giorgio Metta, V. Srinivasa Chakravarthy, Giulio Sandini
Teaching a humanoid robot to draw 'Shapes'. Auton. Robots 31 (1) (2011)
Ravi Krishnan, Shivakesavan Ratnadurai, Deepak Subramanian, V. Srinivasa Chakravarthy
A Model of Basal Ganglia in Saccade Generation. ICANN (1) (2010)
Maithreye Rengaswamy, V. Srinivasa Chakravarthy
A study of the switching function of the Subthalamic Nucleus in saccade generation using a computational model of Basal Ganglia. IJCNN (2010)
Maya Manaithunai, V. Srinivasa Chakravarthy, Balaraman Ravindran
An Oscillatory Neural Network Model for Birdsong Learning and Generation. ICANN (2) (2010)
Hiroyasu Ando, K. Karthik, V. Srinivasa Chakravarthy
Studying the economy of energy expenditure in a large balanced spiking neuron network. IJCNN (2010)
Denny Joseph, Garipelli Gangadhar, V. Srinivasa Chakravarthy
ACE (Actor-Critic-Explorer) paradigm for reinforcement learning in basal ganglia: Highlighting the role of subthalamic and pallidal nuclei. Neurocomputing 74 (1-3) (2010)
V. Srinivasa Chakravarthy, Denny Joseph, Raju S. Bapi
What do the basal ganglia do? A modeling perspective. Biol. Cybern. 103 (3) (2010)
Garipelli Gangadhar, Denny Joseph, V. Srinivasa Chakravarthy
Understanding Parkinsonian Handwriting Through a Computational Model of Basal Ganglia. Neural Comput. 20 (10) (2008)
V. Srinivasa Chakravarthy, Neelima Gupte, S. Yogesh, Atul Salhotra
Chaotic Synchronization Using a Network of Neural oscillators. Int. J. Neural Syst. 18 (2) (2008)
Garipelli Gangadhar, Denny Joseph, V. Srinivasa Chakravarthy
An oscillatory neuromotor model of handwriting generation. Int. J. Document Anal. Recognit. 10 (2) (2007)
H. Swethalakshmi, C. Chandra Sekhar, V. Srinivasa Chakravarthy
Spatiostructural Features for Recognition of Online Handwritten Characters in Devanagari and Tamil Scripts. ICANN (2) (2007)
V. Srinivasa Chakravarthy, Bhaskar Kompella
The shape of handwritten characters. Pattern Recognit. Lett. 24 (12) (2003)
V. Srinivasa Chakravarthy, Joydeep Ghosh
On Hebbian-like adaptation in heart muscle: a proposal for 'cardiac memory'. Biol. Cybern. 76 (3) (1997)
V. Srinivasa Chakravarthy, Joydeep Ghosh
Function Emulation Using Radial Basis Function Networks. Neural Networks 10 (3) (1997)
V. Srinivasa Chakravarthy, Joydeep Ghosh
A complex-valued associative memory for storing patterns as oscillatory states. Biol. Cybern. 75 (3) (1996)
V. Srinivasa Chakravarthy, Joydeep Ghosh
Scale-based clustering using the radial basis function network. IEEE Trans. Neural Networks 7 (5) (1996)