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Maxim Bazhenov
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2020 – today
- 2024
- [j33]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) - [i7]Shruti Joshi, Aiswarya Akumalla, Seth Haney, Maxim Bazhenov:
Contextual fusion enhances robustness to image blurring. CoRR abs/2406.05120 (2024) - 2023
- [c7]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 - [c6]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 - [c5]Suresh Marru
, Marlon E. Pierce
, Beth Plale
, Sudhakar Pamidighantam
, Dimuthu Wannipurage
, Marcus Christie
, Isuru Ranawaka
, Eroma Abeysinghe
, Rob Quick
, Emad Tajkhorshid
, Seid Koric
, Jim Basney
, Mariano Spivak
, Barry Isralewitz
, Rafael C. Bernardi
, Diego Gomes
, Giri P. Krishnan
, Maxim Bazhenov
, Shava Smallen
, Amit Majumdar
, Anton Arkhipov
, Kael Dai
, Xiao-Ping Liu
, Kenneth Yoshimoto
:
Cybershuttle: An End-to-End Cyberinfrastructure Continuum to Accelerate Discovery in Science and Engineering. PEARC 2023: 26-34 - 2022
- [j32]Dhireesha Kudithipudi, Mario Aguilar-Simon, Jonathan Babb, Maxim Bazhenov, Douglas Blackiston
, Josh C. Bongard
, Andrew P. Brna
, Suraj Chakravarthi Raja
, Nick Cheney, Jeff Clune, Anurag Reddy Daram
, Stefano Fusi
, Peter Helfer, Leslie Kay, Nicholas Ketz, Zsolt Kira
, Soheil Kolouri, Jeffrey L. Krichmar
, Sam Kriegman
, Michael Levin, Sandeep Madireddy
, Santosh Manicka, Ali Marjaninejad
, Bruce McNaughton, Risto Miikkulainen
, Zaneta Navratilova, Tej Pandit, Alice Parker, Praveen K. Pilly
, Sebastian Risi, Terrence J. Sejnowski, Andrea Soltoggio
, Nicholas Soures, Andreas S. Tolias
, Darío Urbina-Meléndez
, Francisco J. Valero Cuevas
, Gido M. van de Ven
, Joshua T. Vogelstein
, Felix Wang, Ron Weiss
, Angel Yanguas-Gil
, Xinyun Zou
, Hava T. Siegelmann:
Biological underpinnings for lifelong learning machines. Nat. Mach. Intell. 4(3): 196-210 (2022) - [j31]Ryan Golden
, Jean Erik Delanois
, Pavel Sanda
, Maxim Bazhenov
:
Sleep prevents catastrophic forgetting in spiking neural networks by forming a joint synaptic weight representation. PLoS Comput. Biol. 18(11): 1010628 (2022) - [c4]Wilkie Olin-Ammentorp
, Maxim Bazhenov:
Deep Phasor Networks: Connecting Conventional and Spiking Neural Networks. IJCNN 2022: 1-10 - [i6]Wilkie Olin-Ammentorp, Maxim Bazhenov:
Residual and Attentional Architectures for Vector-Symbols. CoRR abs/2207.08953 (2022) - 2021
- [j30]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) - [j29]Wilkie Olin-Ammentorp
, Yury Sokolov, Maxim Bazhenov:
A dual-memory architecture for reinforcement learning on neuromorphic platforms. Neuromorph. Comput. Eng. 1(2): 24003 (2021) - [c3]Wilkie Olin-Ammentorp
, Maxim Bazhenov:
Bridge Networks: Relating Inputs through Vector-Symbolic Manipulations. ICONS 2021: 15:1-15:6 - [i5]Wilkie Olin-Ammentorp, Yury Sokolov, Maxim Bazhenov:
A Dual-Memory Architecture for Reinforcement Learning on Neuromorphic Platforms. CoRR abs/2103.04780 (2021) - [i4]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) - [i3]Wilkie Olin-Ammentorp, Maxim Bazhenov:
Bridge Networks. CoRR abs/2106.08446 (2021) - [i2]Wilkie Olin-Ammentorp, Maxim Bazhenov:
Deep Phasor Networks: Connecting Conventional and Spiking Neural Networks. CoRR abs/2106.11908 (2021) - 2020
- [j28]Tiger W. Lin, Yusi Chen
, Qasim Bukhari, Giri P. Krishnan, Maxim Bazhenov, Terrence J. Sejnowski:
Differential Covariance: A New Method to Estimate Functional Connectivity in fMRI. Neural Comput. 32(12): 2389-2421 (2020) - [j27]Collins Assisi
, Mark Stopfer, Maxim Bazhenov
:
Optimality of sparse olfactory representations is not affected by network plasticity. PLoS Comput. Biol. 16(2) (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
- [j26]Paola Malerba
, Nikolai F. Rulkov, Maxim Bazhenov:
Large time step discrete-time modeling of sharp wave activity in hippocampal area CA3. Commun. Nonlinear Sci. Numer. Simul. 72: 162-175 (2019) - [j25]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) - [j24]Maxim Komarov, Paola Malerba
, Ryan Golden
, Paul Nunez, Eric Halgren
, Maxim Bazhenov
:
Selective recruitment of cortical neurons by electrical stimulation. PLoS Comput. Biol. 15(8) (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
- [j23]Maxim Komarov, Giri P. Krishnan, Sylvain Chauvette, Nikolai F. Rulkov, Igor Timofeev
, Maxim Bazhenov:
New class of reduced computationally efficient neuronal models for large-scale simulations of brain dynamics. J. Comput. Neurosci. 44(1): 1-24 (2018) - [j22]Seth Haney
, Jessica Konen, Adam I. Marcus, Maxim Bazhenov
:
The complex ecosystem in non small cell lung cancer invasion. PLoS Comput. Biol. 14(5) (2018) - [j21]Giri P. Krishnan, Burke Q. Rosen, Jen-Yung Chen, Lyle Muller
, Terrence J. Sejnowski, Sydney S. Cash, Eric Halgren, Maxim Bazhenov
:
Thalamocortical and intracortical laminar connectivity determines sleep spindle properties. PLoS Comput. Biol. 14(6) (2018) - [j20]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
- [j19]Zihan Xu
, Steven Skorheim, Ming Tu, Visar Berisha
, Shimeng Yu
, Jae-sun Seo, Maxim Bazhenov, Yu Cao
:
Improving efficiency in sparse learning with the feedforward inhibitory motif. Neurocomputing 267: 141-151 (2017) - [j18]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) - [j17]Pavel Sanda
, Steven Skorheim, Maxim Bazhenov:
Multi-layer network utilizing rewarded spike time dependent plasticity to learn a foraging task. PLoS Comput. Biol. 13(9) (2017) - 2016
- [j16]Maxim Komarov, Maxim Bazhenov:
Linking dynamics of the inhibitory network to the input structure. J. Comput. Neurosci. 41(3): 367-391 (2016) - [j15]Paola Malerba
, Giri P. Krishnan, Jean-Marc Fellous, Maxim Bazhenov:
Hippocampal CA1 Ripples as Inhibitory Transients. PLoS Comput. Biol. 12(4) (2016) - 2015
- [j14]Marina Chistiakova, Nicholas M. Bannon, Jen-Yung Chen, Maxim Bazhenov, Maxim Volgushev
:
Homeostatic role of heterosynaptic plasticity: models and experiments. Frontiers Comput. Neurosci. 9: 89 (2015) - [j13]Tiffany Kee, Pavel Sanda
, Nitin Gupta
, Mark Stopfer
, Maxim Bazhenov:
Feed-Forward versus Feedback Inhibition in a Basic Olfactory Circuit. PLoS Comput. Biol. 11(10) (2015) - 2014
- [j12]Samat Moldakarimov, Maxim Bazhenov, Terrence J. Sejnowski:
Top-Down Inputs Enhance Orientation Selectivity in Neurons of the Primary Visual Cortex during Perceptual Learning. PLoS Comput. Biol. 10(8) (2014) - [j11]Rachel A. Mak-McCully, Stephen R. Deiss, Burke Q. Rosen, Ki-Young Jung, Terrence J. Sejnowski, Hélène Bastuji, Marc Rey, Sydney S. Cash, Maxim Bazhenov, Eric Halgren:
Synchronization of Isolated Downstates (K-Complexes) May Be Caused by Cortically-Induced Disruption of Thalamic Spindling. PLoS Comput. Biol. 10(9) (2014) - [r2]Maxim Bazhenov, Giri P. Krishnan
:
Multistability in Seizure Dynamics. Encyclopedia of Computational Neuroscience 2014 - [r1]Maxim Bazhenov, Mark Stopfer:
Olfactory Computation in Antennal Lobe and Mushroom Bodies. Encyclopedia of Computational Neuroscience 2014 - 2013
- [j10]Vladislav Volman, Maxim Bazhenov, Terrence J. Sejnowski:
Divide and Conquer: Functional Segregation of Synaptic Inputs by Astrocytic Microdomains Could Alleviate Paroxysmal Activity Following Brain Trauma. PLoS Comput. Biol. 9(1) (2013) - 2012
- [j9]Vladislav Volman, Maxim Bazhenov, Terrence J. Sejnowski:
Computational models of neuron-astrocyte interaction in epilepsy. Frontiers Comput. Neurosci. 6: 58 (2012) - [j8]Collins Assisi
, Mark Stopfer
, Maxim Bazhenov:
Excitatory Local Interneurons Enhance Tuning of Sensory Information. PLoS Comput. Biol. 8(7) (2012) - 2011
- [j7]Vladislav Volman, Maxim Bazhenov, Terrence J. Sejnowski:
Pattern of trauma determines the threshold for epileptic activity in a model of cortical deafferentation. Proc. Natl. Acad. Sci. USA 108(37): 15402-15407 (2011) - 2010
- [j6]Samat Moldakarimov, Maxim Bazhenov, Terrence J. Sejnowski:
Representation Sharpening Can Explain Perceptual Priming. Neural Comput. 22(5): 1312-1332 (2010)
2000 – 2009
- 2008
- [j5]Luca A. Finelli, Seth Haney, Maxim Bazhenov, Mark Stopfer
, Terrence J. Sejnowski:
Synaptic Learning Rules and Sparse Coding in a Model Sensory System. PLoS Comput. Biol. 4(4) (2008) - 2006
- [j4]Maxim Bazhenov, Igor Timofeev:
Thalamocortical oscillations. Scholarpedia 1(6): 1319 (2006) - 2004
- [j3]Nikolai F. Rulkov, Igor Timofeev
, Maxim Bazhenov:
Oscillations in Large-Scale Cortical Networks: Map-Based Model. J. Comput. Neurosci. 17(2): 203-223 (2004) - 2002
- [j2]Fredrick W. Howell, Maxim Bazhenov, P. Rogister, Terrence J. Sejnowski, Nigel H. Goddard:
Scaling a slow-wave sleep cortical network model using NEOSIM. Neurocomputing 44-46: 453-458 (2002)
1990 – 1999
- 1999
- [j1]Arthur R. Houweling, Maxim Bazhenov, Igor Timofeev
, Mircea Steriade, Terrence J. Sejnowski:
Cortical and thalamic components of augmenting responses: A modeling study. Neurocomputing 26-27: 735-742 (1999)
Coauthor Index
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