User profiles for S. G. Surampudi

Govinda Surampudi

MS by Research, KCIS, CVIT, IIIT-H
Verified email at research.iiit.ac.in
Cited by 60

Threat and reward imminence processing in the human brain

DVPS Murty, S Song, SG Surampudi… - Journal of …, 2023 - Soc Neuroscience
In the human brain, aversive and appetitive processing have been studied with controlled
stimuli in rather static settings. In addition, the extent to which aversive-related and appetitive-…

[HTML][HTML] Multiple kernel learning model for relating structural and functional connectivity in the brain

SG Surampudi, S Naik, RB Surampudi, VK Jirsa… - Scientific reports, 2018 - nature.com
A challenging problem in cognitive neuroscience is to relate the structural connectivity (SC)
to the functional connectivity (FC) to better understand how large-scale network dynamics …

Resting state dynamics meets anatomical structure: Temporal multiple kernel learning (tMKL) model

SG Surampudi, J Misra, G Deco, RS Bapi, A Sharma… - NeuroImage, 2019 - Elsevier
Over the last decade there has been growing interest in understanding the brain activity, in
the absence of any task or stimulus, captured by the resting-state functional magnetic …

[HTML][HTML] Learning brain dynamics for decoding and predicting individual differences

J Misra, SG Surampudi, M Venkatesh… - PLoS Computational …, 2021 - journals.plos.org
Insights from functional Magnetic Resonance Imaging (fMRI), as well as recordings of large
numbers of neurons, reveal that many cognitive, emotional, and motor functions depend on …

Combining multiscale diffusion kernels for learning the structural and functional brain connectivity

SG Surampudi, S Naik, A Sharma, RS Bapi, D Roy - bioRxiv, 2016 - biorxiv.org
The activation of the brain at rest is thought to be at the core of cognitive functions. There have
been many attempts at characterizing the functional connectivity at rest from the structure. …

Learning brain dynamics for decoding and predicting individual differences

L Pessoa, C Limbachia, J Misra, SG Surampudi… - bioRxiv, 2021 - biorxiv.org
Insights from functional Magnetic Resonance Imaging (fMRI), as well as recordings of large
numbers of neurons, reveal that many cognitive, emotional, and motor functions depend on …

Speech signal processing using neural networks mapping the phonology of sanskrit language using neural networks

SG Surampudi, R Pal - 2015 IEEE International Advance …, 2015 - ieeexplore.ieee.org
This paper introduces and motivates the use of artificial neural networks (ANN) for
recognition of speaker independent phoneme in voice signal. It shows the utilization of neural …

Temporal Multiple Kernel Learning (tMKL) model for predicting resting state FC via characterizing fMRI connectivity dynamics

SG Surampudi, J Misra, G Deco, RB Surampudi… - bioRxiv, 2018 - biorxiv.org
Over the last decade there has been growing interest in understanding the brain activity in
the absence of any task or stimulus captured by the resting-state functional magnetic …

Lithium ion batteries for Mars exploration missions

…, D Perrone, S Surampudi, SG Greenbaum - Electrochimica …, 2000 - Elsevier
The desired performance characteristics and physical requirements of spacecraft batteries
for planetary exploration are reviewed, particularly with respect to surface landers and rovers …

Irreversible capacities of graphite in low‐temperature electrolytes for lithium‐ion batteries

MC Smart, BV Ratnakumar, S Surampudi… - Journal of The …, 1999 - iopscience.iop.org
Nonaqueous electrolyte solutions in current lithium-ion cells achieve stability toward the
graphite anode (negative electrode) via the formation of passive surface films on the anode …