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Giri P. Krishnan
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2020 – today
- 2024
- [j11]Christian G. Fink
, Pavel Sanda, Logan Bayer, Eroma Abeysinghe, Maxim Bazhenov, Giri P. Krishnan:
Python/NEURON code for simulating biophysically realistic thalamocortical dynamics during sleep. Softw. Impacts 21: 100667 (2024) - [c7]Adrian Swindle, Derrick McNealy, Giri P. Krishnan, Ramyaa Ramyaa:
Evaluation of Large Language Models on Code Obfuscation (Student Abstract). AAAI 2024: 23664-23666 - [c6]Anthony Bazhenov, Pahan Dewasurendra, Giri P. Krishnan, Jean Erik Delanois:
Unsupervised Replay Strategies for Continual Learning with Limited Data. IJCNN 2024: 1-10 - 2023
- [c5]Yina Wei, Manli Luo, Xun Mai, Linqing Feng, Tao Tang, Dongping Yang, Giri P. Krishnan, Maxim Bazhenov:
The role of age-related sleep EEG changes in memory decline: experiments and computational modeling. EMBC 2023: 1-4 - [c4]Jean Erik Delanois, Aditya Ahuja, Giri P. Krishnan, Timothy Tadros, Julian J. McAuley, Maxim Bazhenov:
Improving Robustness of Convolutional Networks Through Sleep-Like Replay. ICMLA 2023: 257-264 - [c3]Suresh Marru
Cybershuttle: An End-to-End Cyberinfrastructure Continuum to Accelerate Discovery in Science and Engineering. PEARC 2023: 26-34 - 2021
- [j10]Sridevi Krishnan
N-Glycosylation Network Construction and Analysis to Modify Glycans on the Spike (S) Glycoprotein of SARS-CoV-2. Frontiers Bioinform. 1 (2021) - [j9]Tyler L. Hayes, Giri P. Krishnan, Maxim Bazhenov, Hava T. Siegelmann, Terrence J. Sejnowski, Christopher Kanan:
Replay in Deep Learning: Current Approaches and Missing Biological Elements. Neural Comput. 33(11): 2908-2950 (2021) - [i2]Tyler L. Hayes, Giri P. Krishnan, Maxim Bazhenov, Hava T. Siegelmann, Terrence J. Sejnowski, Christopher Kanan:
Replay in Deep Learning: Current Approaches and Missing Biological Elements. CoRR abs/2104.04132 (2021) - 2020
- [j8]Tiger W. Lin, Yusi Chen
Differential Covariance: A New Method to Estimate Functional Connectivity in fMRI. Neural Comput. 32(12): 2389-2421 (2020) - [c2]Timothy Tadros, Giri P. Krishnan, Ramyaa Ramyaa, Maxim Bazhenov:
Biologically Inspired Sleep Algorithm for Reducing Catastrophic Forgetting in Neural Networks. AAAI 2020: 13933-13934 - [c1]Timothy Tadros, Giri P. Krishnan, Ramyaa Ramyaa, Maxim Bazhenov:
Biologically inspired sleep algorithm for increased generalization and adversarial robustness in deep neural networks. ICLR 2020
2010 – 2019
- 2019
- [j7]Mohsen Naji, Giri P. Krishnan, Elizabeth A. McDevitt, Maxim Bazhenov, Sara C. Mednick:
Timing between Cortical Slow Oscillations and Heart Rate Bursts during Sleep Predicts Temporal Processing Speed, but Not Offline Consolidation. J. Cogn. Neurosci. 31(10): 1484-1490 (2019) - [i1]Giri P. Krishnan, Timothy Tadros, Ramyaa Ramyaa, Maxim Bazhenov:
Biologically inspired sleep algorithm for artificial neural networks. CoRR abs/1908.02240 (2019) - 2018
- [j6]Maxim Komarov, Giri P. Krishnan, Sylvain Chauvette, Nikolai F. Rulkov, Igor Timofeev
New class of reduced computationally efficient neuronal models for large-scale simulations of brain dynamics. J. Comput. Neurosci. 44(1): 1-24 (2018) - [j5]Giri P. Krishnan, Burke Q. Rosen, Jen-Yung Chen, Lyle Muller
Thalamocortical and intracortical laminar connectivity determines sleep spindle properties. PLoS Comput. Biol. 14(6) (2018) - [j4]Yina Wei, Giri P. Krishnan, Maxim Komarov, Maxim Bazhenov
Differential roles of sleep spindles and sleep slow oscillations in memory consolidation. PLoS Comput. Biol. 14(7) (2018) - 2017
- [j3]Tiger W. Lin, Anup Das, Giri P. Krishnan, Maxim Bazhenov, Terrence J. Sejnowski:
Differential Covariance: A New Class of Methods to Estimate Sparse Connectivity from Neural Recordings. Neural Comput. 29(10): 2581-2632 (2017) - 2016
- [j2]Paola Malerba
Hippocampal CA1 Ripples as Inhibitory Transients. PLoS Comput. Biol. 12(4) (2016) - 2014
- [r1]Maxim Bazhenov, Giri P. Krishnan
Multistability in Seizure Dynamics. Encyclopedia of Computational Neuroscience 2014
2000 – 2009
- 2009
- [j1]Giri P. Krishnan, William P. Hetrick, Colleen A. Brenner, Anantha Shekhar, Ashley N. Steffen, Brian F. O'Donnell:
Steady state and induced auditory gamma deficits in schizophrenia. NeuroImage 47(4): 1711-1719 (2009)
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