V Srinivasa Chakravarthy

About V Srinivasa Chakravarthy

V Srinivasa Chakravarthy, With an exceptional h-index of 30 and a recent h-index of 17 (since 2020), a distinguished researcher at Indian Institute of Technology Madras, specializes in the field of Computational neuroscience, computational cardiology, pattern recognition....

His recent articles reflect a diverse array of research interests and contributions to the field:

A Chaotic Associative Memory

A Basal Ganglia model for understanding working memory functions in healthy and Parkinson’s conditions

A Computational Model of Deep Brain Stimulation for Parkinsons Disease Tremor

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

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

A generalized reinforcement learning based deep neural network agent model for diverse cognitive constructs

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

Coupled memristor oscillators for neuromorphic locomotion control: Modeling and analysis

V Srinivasa Chakravarthy Information

University

Position

___

Citations(all)

3492

Citations(since 2020)

1503

Cited By

2513

hIndex(all)

30

hIndex(since 2020)

17

i10Index(all)

71

i10Index(since 2020)

33

Email

University Profile Page

Indian Institute of Technology Madras

Google Scholar

View Google Scholar Profile

V Srinivasa Chakravarthy Skills & Research Interests

Computational neuroscience

computational cardiology

pattern recognition...

Top articles of V Srinivasa Chakravarthy

Title

Journal

Author(s)

Publication Date

A Chaotic Associative Memory

arXiv preprint arXiv:2401.10922

Nurani Rajagopal Rohan

Sayan Gupta

V Srinivasa Chakravarthy

2024/1/15

A Basal Ganglia model for understanding working memory functions in healthy and Parkinson’s conditions

Cognitive Neurodynamics

C Vigneswaran

Sandeep Sathyanandan Nair

V Srinivasa Chakravarthy

2024/1/9

A Computational Model of Deep Brain Stimulation for Parkinsons Disease Tremor

Frontiers in Computational Neuroscience

Terence D Sanger

2018/9/20

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

European Journal of Neuroscience

BS Kumar

PJ O'Herron

P Kara

VS Chakravarthy

2023

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

Neural Computing and Applications

Sweta Kumari

Vigneswaran Chandrasekaran

V Srinivasa Chakravarthy

2023/12

A generalized reinforcement learning based deep neural network agent model for diverse cognitive constructs

Scientific Reports

Sandeep Sathyanandan Nair

Vignayanandam Ravindernath Muddapu

C Vigneswaran

Pragathi P Balasubramani

Dhakshin S Ramanathan

...

2023/4/12

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

Scientific Reports

Anirban Bandyopadhyay

Sayan Ghosh

Dipayan Biswas

V Srinivasa Chakravarthy

Raju S. Bapi

2023/10/7

Coupled memristor oscillators for neuromorphic locomotion control: Modeling and analysis

IEEE Transactions on Neural Networks and Learning Systems

Akhil Bonagiri

Dipayan Biswas

Srinivasa Chakravarthy

2023/1/6

A COMPREHENSIVE GAMING SYSTEM FOR REHABILITATION OF UPPER EXTREMITY STROKE

IBRO Neuroscience Reports

Sundari Elango

Amal Jude Ashwin Francis

Divya Darshini

Shabeera Hafsath

V Srinivasa Chakravarthy

...

2023/10/1

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

bioRxiv

Sayan Ghosh

Dipayan Biswas

Srinivasa Chakravarthy

Sujith Vijayan

2023

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

Frontiers in Neural Circuits

Tamizharasan Kanagamani

V. Srinivasa Chakravarthy

Balaraman Ravindran

Ramshekhar N. Menon

2023/6/21

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

Frontiers in Neuroscience

Anila Gundavarapu

V. Srinivasa Chakravarthy

2023/5/22

Oscillatory Network and Deep Value Network Based Memory Replay Model of Hippocampus

Tamizharasan Kanagamani

Madhuvanthi Muliya

V Srinivasa Chakravarthy

Balaraman Ravindran

Ramshekhar N Menon

2023/12/4

A phenomenological deep oscillatory neural network model to capture the whole brain dynamics in terms of bold signal

Anirban Bandyopadhyay

Sayan Ghosh

Dipayan Biswas

Raju Bapi Surampudi

V Srinivasa Chakravarthy

2022/11/22

An end-to-end, interactive deep learning based annotation system for cursive and print English handwritten text

Pranav Guruprasad

S Sujith Kumar

C Vigneswaran

V Srinivasa Chakravarthy

2022

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

bioRxiv

Sandeep S Nair

Vignayanandam R Muddapu

C Vigneswaran

Pragathi P Balasubramani

Dhakshin S Ramanathan

...

2022/6/20

ASM-3D: An attentional search model fashioned after what and where/how pathways for target search in 3D environment

bioRxiv

Sweta Kumari

VY Shobha Amala

M Nivethithan

V Srinivasa Chakravarthy

2022/8/3

Brain-Inspired Attention Model for Object Counting

Abhijeet Sinha

Sweta Kumari

V Srinivasa Chakravarthy

2022/11/22

Basal ganglia system as an engine for exploration

V Srinivasa Chakravarthy

Pragathi Priyadharsini Balasubramani

2022/6/12

Is there a better way to assess Parkinsonian motor symptoms?—experimental and modelling approach

Techniques for Assessment of Parkinsonism for Diagnosis and Rehabilitation

Sandeep Sathyanandan Nair

Vignayanandam Ravindernath Jayashree Muddapu

Meghna Sriram

R Aditya

Reema Gupta

...

2022

See List of Professors in V Srinivasa Chakravarthy University(Indian Institute of Technology Madras)

Co-Authors

H-index: 43
Balaraman Ravindran

Balaraman Ravindran

Indian Institute of Technology Madras

H-index: 14
Pragathi Priyadharsini Balasubramani

Pragathi Priyadharsini Balasubramani

University of California, San Diego

H-index: 9
Alekhya Mandali

Alekhya Mandali

University of Oxford

academic-engine