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ORCIDMaxim 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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last updated on 2024-08-25 20:05 CEST by the dblp team
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