Maxim Bazhenov

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 33

Top Topics

Sparse Learning

Biologically Inspired

Processing Speed

Top Venues

PLoS Comput. Biol.

J. Comput. Neurosci.

Publications

Shruti Joshi, Aiswarya Akumalla, Seth Haney, Maxim Bazhenov
Contextual fusion enhances robustness to image blurring. CoRR (2024)
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 (2024)
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)
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)
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)
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) (2022)
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) (2022)
Wilkie Olin-Ammentorp, Maxim Bazhenov
Deep Phasor Networks: Connecting Conventional and Spiking Neural Networks. IJCNN (2022)
Wilkie Olin-Ammentorp, Maxim Bazhenov
Residual and Attentional Architectures for Vector-Symbols. CoRR (2022)
Wilkie Olin-Ammentorp, Maxim Bazhenov
Bridge Networks: Relating Inputs through Vector-Symbolic Manipulations. ICONS (2021)
Wilkie Olin-Ammentorp, Yury Sokolov, Maxim Bazhenov
A dual-memory architecture for reinforcement learning on neuromorphic platforms. Neuromorph. Comput. Eng. 1 (2) (2021)
Wilkie Olin-Ammentorp, Yury Sokolov, Maxim Bazhenov
A Dual-Memory Architecture for Reinforcement Learning on Neuromorphic Platforms. CoRR (2021)
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 (2021)
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) (2021)
Wilkie Olin-Ammentorp, Maxim Bazhenov
Deep Phasor Networks: Connecting Conventional and Spiking Neural Networks. CoRR (2021)
Wilkie Olin-Ammentorp, Maxim Bazhenov
Bridge Networks. CoRR (2021)
Timothy Tadros, Giri P. Krishnan, Ramyaa Ramyaa, Maxim Bazhenov
Biologically Inspired Sleep Algorithm for Reducing Catastrophic Forgetting in Neural Networks. AAAI (2020)
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)
Collins Assisi, Mark Stopfer, Maxim Bazhenov
Optimality of sparse olfactory representations is not affected by network plasticity. PLoS Comput. Biol. 16 (2) (2020)
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) (2020)
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)
Giri P. Krishnan, Timothy Tadros, Ramyaa Ramyaa, Maxim Bazhenov
Biologically inspired sleep algorithm for artificial neural networks. CoRR (2019)
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 (2019)
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) (2019)
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) (2018)
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)
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)
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)
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 (2017)
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)
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) (2017)
Paola Malerba, Giri P. Krishnan, Jean-Marc Fellous, Maxim Bazhenov
Hippocampal CA1 Ripples as Inhibitory Transients. PLoS Comput. Biol. 12 (4) (2016)
Maxim Komarov, Maxim Bazhenov
Linking dynamics of the inhibitory network to the input structure. J. Comput. Neurosci. 41 (3) (2016)
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)
Marina Chistiakova, Nicholas M. Bannon, Jen-Yung Chen, Maxim Bazhenov, Maxim Volgushev
Homeostatic role of heterosynaptic plasticity: models and experiments. Frontiers Comput. Neurosci. 9 (2015)
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)
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)
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)
Vladislav Volman, Maxim Bazhenov, Terrence J. Sejnowski
Computational models of neuron-astrocyte interaction in epilepsy. Frontiers Comput. Neurosci. 6 (2012)
Collins Assisi, Mark Stopfer, Maxim Bazhenov
Excitatory Local Interneurons Enhance Tuning of Sensory Information. PLoS Comput. Biol. 8 (7) (2012)
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) (2011)
Samat Moldakarimov, Maxim Bazhenov, Terrence J. Sejnowski
Representation Sharpening Can Explain Perceptual Priming. Neural Comput. 22 (5) (2010)
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)
Maxim Bazhenov, Igor Timofeev
Thalamocortical oscillations. Scholarpedia 1 (6) (2006)
Nikolai F. Rulkov, Igor Timofeev, Maxim Bazhenov
Oscillations in Large-Scale Cortical Networks: Map-Based Model. J. Comput. Neurosci. 17 (2) (2004)
Fredrick W. Howell, Maxim Bazhenov, P. Rogister, Terrence J. Sejnowski, Nigel H. Goddard
Scaling a slow-wave sleep cortical network model using NEOSIM. Neurocomputing (2002)
Arthur R. Houweling, Maxim Bazhenov, Igor Timofeev, Mircea Steriade, Terrence J. Sejnowski
Cortical and thalamic components of augmenting responses: A modeling study. Neurocomputing (1999)