Giri P. Krishnan

Orcid: 0000-0002-1128-2483

According to our database1, Giri P. Krishnan authored at least 24 papers between 2009 and 2024.

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Bibliography

2024
Python/NEURON code for simulating biophysically realistic thalamocortical dynamics during sleep.
Softw. Impacts, 2024

Cholinergic modulation supports dynamic switching of resting state networks through selective DMN suppression.
PLoS Comput. Biol., 2024

Emergent effects of synaptic connectivity on the dynamics of global and local slow waves in a large-scale thalamocortical network model of the human brain.
PLoS Comput. Biol., 2024

Sleep-Like Unsupervised Replay Improves Performance when Data are Limited or Unbalanced.
CoRR, 2024

Unsupervised Replay Strategies for Continual Learning with Limited Data.
Proceedings of the International Joint Conference on Neural Networks, 2024

Evaluation of Large Language Models on Code Obfuscation (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Sleep-Like Unsupervised Replay Improves Performance When Data Are Limited or Unbalanced (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Improving Robustness of Convolutional Networks Through Sleep-Like Replay.
Proceedings of the International Conference on Machine Learning and Applications, 2023

The role of age-related sleep EEG changes in memory decline: experiments and computational modeling.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2021
Replay in Deep Learning: Current Approaches and Missing Biological Elements.
Neural Comput., 2021

N-Glycosylation Network Construction and Analysis to Modify Glycans on the Spike (S) Glycoprotein of SARS-CoV-2.
Frontiers Bioinform., 2021

2020
Differential Covariance: A New Method to Estimate Functional Connectivity in fMRI.
Neural Comput., 2020

Biologically inspired sleep algorithm for increased generalization and adversarial robustness in deep neural networks.
Proceedings of the 8th International Conference on Learning Representations, 2020

Biologically Inspired Sleep Algorithm for Reducing Catastrophic Forgetting in Neural Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Timing between Cortical Slow Oscillations and Heart Rate Bursts during Sleep Predicts Temporal Processing Speed, but Not Offline Consolidation.
J. Cogn. Neurosci., 2019

Biologically inspired sleep algorithm for artificial neural networks.
CoRR, 2019

2018
Differential roles of sleep spindles and sleep slow oscillations in memory consolidation.
PLoS Comput. Biol., 2018

Thalamocortical and intracortical laminar connectivity determines sleep spindle properties.
PLoS Comput. Biol., 2018

New class of reduced computationally efficient neuronal models for large-scale simulations of brain dynamics.
J. Comput. Neurosci., 2018

2017
Differential Covariance: A New Class of Methods to Estimate Sparse Connectivity from Neural Recordings.
Neural Comput., 2017

2016
Hippocampal CA1 Ripples as Inhibitory Transients.
PLoS Comput. Biol., 2016

2014
Multistability in Seizure Dynamics.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

2009
Steady state and induced auditory gamma deficits in schizophrenia.
NeuroImage, 2009


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