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ORCIDV. Srinivasa Chakravarthy
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Books and Theses
- 2019
[b1]V. Srinivasa Chakravarthy:
Demystifying the Brain - A Computational Approach. Springer 2019, ISBN 978-981-13-3319-4, pp. 1-378
Journal Articles
- 2024
- [j35]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): 8638-8652 (2024) - 2023
- [j34]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): 24543-24559 (2023) - 2022
- [j33]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) - [j32]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) - [j31]Sweta Kumari, V. Srinivasa Chakravarthy:
Biologically inspired image classifier based on saccadic eye movement design for convolutional neural networks. Neurocomputing 513: 294-317 (2022) - 2021
- [j30]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: 551111 (2021) - [j29]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: 638700 (2021) - [j28]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: 756881 (2021) - 2020
- [j27]Vignayanandam Ravindernath Muddapu, V. Srinivasa Chakravarthy:
A Multi-Scale Computational Model of Excitotoxic Loss of Dopaminergic Cells in Parkinson's Disease. Frontiers Neuroinformatics 14: 34 (2020) - 2018
- [j26]Karthik Soman, Vignesh Muralidharan, V. Srinivasa Chakravarthy:
An Oscillatory Neural Autoencoder Based on Frequency Modulation and Multiplexing. Frontiers Comput. Neurosci. 12: 52 (2018) - [j25]Ankur Chauhan, Karthik Soman, V. Srinivasa Chakravarthy:
Saccade Velocity Driven Oscillatory Network Model of Grid Cells. Frontiers Comput. Neurosci. 12: 107 (2018) - [j24]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): 637-646 (2018) - 2017
- [j23]Abhishek De, V. Srinivasa Chakravarthy, Michael Levin:
A computational model of planarian regeneration. Int. J. Parallel Emergent Distributed Syst. 32(4): 331-347 (2017) - [j22]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) - 2015
- [j21]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: 3 (2015) - [j20]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: 76 (2015) - 2014
- [j19]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: 47 (2014) - 2013
- [j18]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: 172 (2013) - [j17]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: 174 (2013) - [j16]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: 190 (2013) - 2012
- [j15]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: 65-73 (2012) - 2011
- [j14]Vishwanathan Mohan, Pietro Morasso, Jacopo Zenzeri, Giorgio Metta, V. Srinivasa Chakravarthy, Giulio Sandini:
Teaching a humanoid robot to draw 'Shapes'. Auton. Robots 31(1): 21-53 (2011) - [j13]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): 1241-1247 (2011) - [j12]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): 477-516 (2011) - [j11]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): 801-813 (2011) - 2010
- [j10]V. Srinivasa Chakravarthy, Denny Joseph, Raju S. Bapi:
What do the basal ganglia do? A modeling perspective. Biol. Cybern. 103(3): 237-253 (2010) - [j9]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): 205-218 (2010) - 2008
- [j8]V. Srinivasa Chakravarthy, Neelima Gupte, S. Yogesh, Atul Salhotra:
Chaotic Synchronization Using a Network of Neural oscillators. Int. J. Neural Syst. 18(2): 157-164 (2008) - [j7]Garipelli Gangadhar, Denny Joseph, V. Srinivasa Chakravarthy:
Understanding Parkinsonian Handwriting Through a Computational Model of Basal Ganglia. Neural Comput. 20(10): 2491-2525 (2008) - 2007
- [j6]Garipelli Gangadhar, Denny Joseph, V. Srinivasa Chakravarthy:
An oscillatory neuromotor model of handwriting generation. Int. J. Document Anal. Recognit. 10(2): 69-84 (2007) - 2003
- [j5]V. Srinivasa Chakravarthy, Bhaskar Kompella:
The shape of handwritten characters. Pattern Recognit. Lett. 24(12): 1901-1913 (2003) - 1997
- [j4]V. Srinivasa Chakravarthy, Joydeep Ghosh:
On Hebbian-like adaptation in heart muscle: a proposal for 'cardiac memory'. Biol. Cybern. 76(3): 207-215 (1997) - [j3]V. Srinivasa Chakravarthy, Joydeep Ghosh:
Function Emulation Using Radial Basis Function Networks. Neural Networks 10(3): 459-478 (1997) - 1996
- [j2]V. Srinivasa Chakravarthy, Joydeep Ghosh:
A complex-valued associative memory for storing patterns as oscillatory states. Biol. Cybern. 75(3): 229-238 (1996) - [j1]V. Srinivasa Chakravarthy, Joydeep Ghosh:
Scale-based clustering using the radial basis function network. IEEE Trans. Neural Networks 7(5): 1250-1261 (1996)
Conference and Workshop Papers
- 2023
- [c15]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: 117-127 - 2022
- [c14]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: 160-171 - [c13]Abhijeet Sinha, Sweta Kumari, V. Srinivasa Chakravarthy:
Brain-Inspired Attention Model for Object Counting. ICONIP (2) 2022: 184-193 - 2021
- [c12]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: 425-434 - 2018
- [c11]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: 215-226 - 2017
- [c10]Anila Gundavarapu, Karthik Soman, V. Srinivasa Chakravarthy:
Modeling component and pattern motion selectivity in the mt area of visual cortex. ICACCI 2017: 561-565 - [c9]Manali Naik, V. Srinivasa Chakravarthy:
A comparative study of complexity of handwritten Bharati characters with that of major Indian scripts. IJCNN 2017: 3050-3057 - 2015
- [c8]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: 1-8 - 2012
- [c7]Pragathi Priyadharsini Balasubramani, Balaraman Ravindran, V. Srinivasa Chakravarthy:
Understanding the Role of Serotonin in Basal Ganglia through a Unified Model. ICANN (1) 2012: 467-473 - 2011
- [c6]Kumar Sanjeeva, Maithreye Rengaswamy, Neelima Gupte, V. Srinivasa Chakravarthy:
Expanding the Go/NoGo depiction of the action of Basal Ganglia pathways. IJCNN 2011: 3207-3212 - 2010
- [c5]Maya Manaithunai, V. Srinivasa Chakravarthy, Balaraman Ravindran:
An Oscillatory Neural Network Model for Birdsong Learning and Generation. ICANN (2) 2010: 210-215 - [c4]Ravi Krishnan, Shivakesavan Ratnadurai, Deepak Subramanian, V. Srinivasa Chakravarthy:
A Model of Basal Ganglia in Saccade Generation. ICANN (1) 2010: 282-290 - [c3]Hiroyasu Ando, K. Karthik, V. Srinivasa Chakravarthy:
Studying the economy of energy expenditure in a large balanced spiking neuron network. IJCNN 2010: 1-5 - [c2]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: 1-6 - 2007
- [c1]H. Swethalakshmi, C. Chandra Sekhar, V. Srinivasa Chakravarthy:
Spatiostructural Features for Recognition of Online Handwritten Characters in Devanagari and Tamil Scripts. ICANN (2) 2007: 230-239
Reference Works
- 2014
- [r1]V. Srinivasa Chakravarthy, Pragathi Priyadharsini Balasubramani:
Basal Ganglia System as an Engine for Exploration. Encyclopedia of Computational Neuroscience 2014
Informal and Other Publications
- 2024
- [i3]Nurani Rajagopal Rohan, Vigneswaran C, Sayan Ghosh, Kishore Rajendran, Gaurav A, V. Srinivasa Chakravarthy:
Deep Oscillatory Neural Network. CoRR abs/2405.03725 (2024) - 2023
- [i2]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 abs/2304.08670 (2023) - 2016
- [i1]Manali Naik, V. Srinivasa Chakravarthy:
A comparative study of complexity of handwritten Bharati characters with that of major Indian scripts. CoRR abs/1609.09227 (2016)
Coauthor Index
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