Maxim Bazhenov

55 papers A* 3B 1C 1Journal 45Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Slumbering to Precision: Enhancing Artificial Neural Network Calibration Through Sleep-like Processes. CoRR Jean Erik Delanois, Aditya Ahuja, Giri P. Krishnan, Maxim Bazhenov
2025	J	`jnl`	Network effects of traumatic brain injury: from infra slow to high frequency oscillations and seizures. J. Comput. Neurosci. Brianna Marsh, Sylvain Chauvette, Mingxiong Huang, Igor Timofeev, Maxim Bazhenov
2025	J	`jnl`	Toward Lifelong Learning in Equilibrium Propagation: Sleep-like and Awake Rehearsal for Enhanced Stability. CoRR Yoshimasa Kubo, Jean Erik Delanois, Maxim Bazhenov
2025	A*	`conf`	When to Learn and When to Stop: Quitting at the Optimal Time (Student Abstract). AAAI Diana Vins, Jean Erik Delanois, Maxim Bazhenov
2024	J	`jnl`	Cholinergic modulation supports dynamic switching of resting state networks through selective DMN suppression. PLoS Comput. Biol. Pavel Sanda, Jaroslav Hlinka, Monica van den Berg, Antonín Skoch, Maxim Bazhenov, Georgios A. Keliris, Giri P. Krishnan
2024	J	`jnl`	Contextual fusion enhances robustness to image blurring. CoRR Shruti Joshi, Aiswarya Akumalla, Seth Haney, Maxim Bazhenov
2024	J	`jnl`	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. Brianna Marsh, M. Gabriela Navas-Zuloaga, Burke Q. Rosen, Yury Sokolov, Jean Erik Delanois, Oscar C. Gonzalez, Giri P. Krishnan, Eric Halgren, Maxim Bazhenov
2024	J	`jnl`	Python/NEURON code for simulating biophysically realistic thalamocortical dynamics during sleep. Softw. Impacts Christian G. Fink, Pavel Sanda, Logan Bayer, Eroma Abeysinghe, Maxim Bazhenov, Giri P. Krishnan
2023	—	`conf`	Cybershuttle: An End-to-End Cyberinfrastructure Continuum to Accelerate Discovery in Science and Engineering. PEARC 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 Enry Barreto Gomes, Giri P. Krishnan, Maxim Bazhenov, Shava Smallen, Amit Majumdar, Anton Arkhipov, Kael Dai, Xiao-Ping Liu, Kenneth Yoshimoto
2023	C	`conf`	Improving Robustness of Convolutional Networks Through Sleep-Like Replay. ICMLA Jean Erik Delanois, Aditya Ahuja, Giri P. Krishnan, Timothy Tadros, Julian J. McAuley, Maxim Bazhenov
2023	—	`conf`	The role of age-related sleep EEG changes in memory decline: experiments and computational modeling. EMBC Yina Wei, Manli Luo, Xun Mai, Linqing Feng, Tao Tang, Dongping Yang, Giri P. Krishnan, Maxim Bazhenov
2022	J	`jnl`	Biological underpinnings for lifelong learning machines. Nat. Mach. Intell. 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
2022	B	`conf`	Deep Phasor Networks: Connecting Conventional and Spiking Neural Networks. IJCNN Wilkie Olin-Ammentorp, Maxim Bazhenov
2022	J	`jnl`	Residual and Attentional Architectures for Vector-Symbols. CoRR Wilkie Olin-Ammentorp, Maxim Bazhenov
2022	J	`jnl`	Sleep prevents catastrophic forgetting in spiking neural networks by forming a joint synaptic weight representation. PLoS Comput. Biol. Ryan Golden, Jean Erik Delanois, Pavel Sanda, Maxim Bazhenov
2021	J	`jnl`	A Dual-Memory Architecture for Reinforcement Learning on Neuromorphic Platforms. CoRR Wilkie Olin-Ammentorp, Yury Sokolov, Maxim Bazhenov
2021	J	`jnl`	A dual-memory architecture for reinforcement learning on neuromorphic platforms. Neuromorph. Comput. Eng. Wilkie Olin-Ammentorp, Yury Sokolov, Maxim Bazhenov
2021	J	`jnl`	Bridge Networks. CoRR Wilkie Olin-Ammentorp, Maxim Bazhenov
2021	—	`conf`	Bridge Networks: Relating Inputs through Vector-Symbolic Manipulations. ICONS Wilkie Olin-Ammentorp, Maxim Bazhenov
2021	J	`jnl`	Deep Phasor Networks: Connecting Conventional and Spiking Neural Networks. CoRR Wilkie Olin-Ammentorp, Maxim Bazhenov
2021	J	`jnl`	Replay in Deep Learning: Current Approaches and Missing Biological Elements. CoRR Tyler L. Hayes, Giri P. Krishnan, Maxim Bazhenov, Hava T. Siegelmann, Terrence J. Sejnowski, Christopher Kanan
2021	J	`jnl`	Replay in Deep Learning: Current Approaches and Missing Biological Elements. Neural Comput. Tyler L. Hayes, Giri P. Krishnan, Maxim Bazhenov, Hava T. Siegelmann, Terrence J. Sejnowski, Christopher Kanan
2020	A*	`conf`	Biologically Inspired Sleep Algorithm for Reducing Catastrophic Forgetting in Neural Networks. AAAI Timothy Tadros, Giri P. Krishnan, Ramyaa Ramyaa, Maxim Bazhenov
2020	A*	`conf`	Biologically inspired sleep algorithm for increased generalization and adversarial robustness in deep neural networks. ICLR Timothy Tadros, Giri P. Krishnan, Ramyaa Ramyaa, Maxim Bazhenov
2020	J	`jnl`	Differential Covariance: A New Method to Estimate Functional Connectivity in fMRI. Neural Comput. Tiger W. Lin, Yusi Chen, Qasim Bukhari, Giri P. Krishnan, Maxim Bazhenov, Terrence J. Sejnowski
2020	J	`jnl`	Optimality of sparse olfactory representations is not affected by network plasticity. PLoS Comput. Biol. Collins Assisi, Mark Stopfer, Maxim Bazhenov
2019	J	`jnl`	Biologically inspired sleep algorithm for artificial neural networks. CoRR Giri P. Krishnan, Timothy Tadros, Ramyaa Ramyaa, Maxim Bazhenov
2019	J	`jnl`	Large time step discrete-time modeling of sharp wave activity in hippocampal area CA3. Commun. Nonlinear Sci. Numer. Simul. Paola Malerba, Nikolai F. Rulkov, Maxim Bazhenov
2019	J	`jnl`	Selective recruitment of cortical neurons by electrical stimulation. PLoS Comput. Biol. Maxim Komarov, Paola Malerba, Ryan Golden, Paul Nunez, Eric Halgren, Maxim Bazhenov
2019	J	`jnl`	Timing between Cortical Slow Oscillations and Heart Rate Bursts during Sleep Predicts Temporal Processing Speed, but Not Offline Consolidation. J. Cogn. Neurosci. Mohsen Naji, Giri P. Krishnan, Elizabeth A. McDevitt, Maxim Bazhenov, Sara C. Mednick
2018	J	`jnl`	Differential roles of sleep spindles and sleep slow oscillations in memory consolidation. PLoS Comput. Biol. Yina Wei, Giri P. Krishnan, Maxim Komarov, Maxim Bazhenov
2018	J	`jnl`	New class of reduced computationally efficient neuronal models for large-scale simulations of brain dynamics. J. Comput. Neurosci. Maxim Komarov, Giri P. Krishnan, Sylvain Chauvette, Nikolai F. Rulkov, Igor Timofeev, Maxim Bazhenov
2018	J	`jnl`	Thalamocortical and intracortical laminar connectivity determines sleep spindle properties. PLoS Comput. Biol. Giri P. Krishnan, Burke Q. Rosen, Jen-Yung Chen, Lyle Muller, Terrence J. Sejnowski, Sydney S. Cash, Eric Halgren, Maxim Bazhenov
2018	J	`jnl`	The complex ecosystem in non small cell lung cancer invasion. PLoS Comput. Biol. Seth Haney, Jessica Konen, Adam I. Marcus, Maxim Bazhenov
2017	J	`jnl`	Differential Covariance: A New Class of Methods to Estimate Sparse Connectivity from Neural Recordings. Neural Comput. Tiger W. Lin, Anup Das, Giri P. Krishnan, Maxim Bazhenov, Terrence J. Sejnowski
2017	J	`jnl`	Improving efficiency in sparse learning with the feedforward inhibitory motif. Neurocomputing Zihan Xu, Steven Skorheim, Ming Tu, Visar Berisha, Shimeng Yu, Jae-sun Seo, Maxim Bazhenov, Yu Cao
2017	J	`jnl`	Multi-layer network utilizing rewarded spike time dependent plasticity to learn a foraging task. PLoS Comput. Biol. Pavel Sanda, Steven Skorheim, Maxim Bazhenov
2016	J	`jnl`	Hippocampal CA1 Ripples as Inhibitory Transients. PLoS Comput. Biol. Paola Malerba, Giri P. Krishnan, Jean-Marc Fellous, Maxim Bazhenov
2016	J	`jnl`	Linking dynamics of the inhibitory network to the input structure. J. Comput. Neurosci. Maxim Komarov, Maxim Bazhenov
2015	J	`jnl`	Feed-Forward versus Feedback Inhibition in a Basic Olfactory Circuit. PLoS Comput. Biol. Tiffany Kee, Pavel Sanda, Nitin Gupta, Mark Stopfer, Maxim Bazhenov
2015	J	`jnl`	Homeostatic role of heterosynaptic plasticity: models and experiments. Frontiers Comput. Neurosci. Marina Chistiakova, Nicholas M. Bannon, Jen-Yung Chen, Maxim Bazhenov, Maxim Volgushev
2014	—	`ch.`	Multistability in Seizure Dynamics. Encyclopedia of Computational Neuroscience Maxim Bazhenov, Giri P. Krishnan
2014	—	`ch.`	Olfactory Computation in Antennal Lobe and Mushroom Bodies. Encyclopedia of Computational Neuroscience Maxim Bazhenov, Mark Stopfer
2014	J	`jnl`	Synchronization of Isolated Downstates (K-Complexes) May Be Caused by Cortically-Induced Disruption of Thalamic Spindling. PLoS Comput. Biol. 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
2014	J	`jnl`	Top-Down Inputs Enhance Orientation Selectivity in Neurons of the Primary Visual Cortex during Perceptual Learning. PLoS Comput. Biol. Samat Moldakarimov, Maxim Bazhenov, Terrence J. Sejnowski
2013	J	`jnl`	Divide and Conquer: Functional Segregation of Synaptic Inputs by Astrocytic Microdomains Could Alleviate Paroxysmal Activity Following Brain Trauma. PLoS Comput. Biol. Vladislav Volman, Maxim Bazhenov, Terrence J. Sejnowski
2012	J	`jnl`	Computational models of neuron-astrocyte interaction in epilepsy. Frontiers Comput. Neurosci. Vladislav Volman, Maxim Bazhenov, Terrence J. Sejnowski
2012	J	`jnl`	Excitatory Local Interneurons Enhance Tuning of Sensory Information. PLoS Comput. Biol. Collins Assisi, Mark Stopfer, Maxim Bazhenov
2011	J	`jnl`	Pattern of trauma determines the threshold for epileptic activity in a model of cortical deafferentation. Proc. Natl. Acad. Sci. USA Vladislav Volman, Maxim Bazhenov, Terrence J. Sejnowski
2010	J	`jnl`	Representation Sharpening Can Explain Perceptual Priming. Neural Comput. Samat Moldakarimov, Maxim Bazhenov, Terrence J. Sejnowski
2008	J	`jnl`	Synaptic Learning Rules and Sparse Coding in a Model Sensory System. PLoS Comput. Biol. Luca A. Finelli, Seth Haney, Maxim Bazhenov, Mark Stopfer, Terrence J. Sejnowski
2006	J	`jnl`	Thalamocortical oscillations. Scholarpedia Maxim Bazhenov, Igor Timofeev
2004	J	`jnl`	Oscillations in Large-Scale Cortical Networks: Map-Based Model. J. Comput. Neurosci. Nikolai F. Rulkov, Igor Timofeev, Maxim Bazhenov
2002	J	`jnl`	Scaling a slow-wave sleep cortical network model using NEOSIM. Neurocomputing Fredrick W. Howell, Maxim Bazhenov, P. Rogister, Terrence J. Sejnowski, Nigel H. Goddard
1999	J	`jnl`	Cortical and thalamic components of augmenting responses: A modeling study. Neurocomputing Arthur R. Houweling, Maxim Bazhenov, Igor Timofeev, Mircea Steriade, Terrence J. Sejnowski