Maxim Bazhenov

According to our database, Maxim Bazhenov authored at least 48 papers between 1999 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Python/NEURON code for simulating biophysically realistic thalamocortical dynamics during sleep.

Christian G. Fink, Pavel Sanda, Logan Bayer, Eroma Abeysinghe, Maxim Bazhenov, Giri P. Krishnan

Softw. Impacts, 2024

Cholinergic modulation supports dynamic switching of resting state networks through selective DMN suppression.

Pavel Sanda, Jaroslav Hlinka, Monica van den Berg, Antonín Skoch, Maxim Bazhenov, Georgios A. Keliris, Giri P. Krishnan

PLoS Comput. Biol., 2024

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.

Brianna Marsh, M. Gabriela Navas-Zuloaga, Burke Q. Rosen, Yury Sokolov, Jean Erik Delanois, Oscar C. Gonzalez, Giri P. Krishnan, Eric Halgren, Maxim Bazhenov

PLoS Comput. Biol., 2024

Contextual fusion enhances robustness to image blurring.

Shruti Joshi, Aiswarya Akumalla, Seth Haney, Maxim Bazhenov

CoRR, 2024

2023

Cybershuttle: An End-to-End Cyberinfrastructure Continuum to Accelerate Discovery in Science and Engineering.

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

Proceedings of the Practice and Experience in Advanced Research Computing, 2023

Improving Robustness of Convolutional Networks Through Sleep-Like Replay.

Jean Erik Delanois, Aditya Ahuja, Giri P. Krishnan, Timothy Tadros, Julian J. McAuley, Maxim Bazhenov

Proceedings of the International Conference on Machine Learning and Applications, 2023

The role of age-related sleep EEG changes in memory decline: experiments and computational modeling.

Yina Wei, Manli Luo, Xun Mai, Linqing Feng, Tao Tang, Dongping Yang, Giri P. Krishnan, Maxim Bazhenov

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Sleep prevents catastrophic forgetting in spiking neural networks by forming a joint synaptic weight representation.

Ryan Golden, Jean Erik Delanois, Pavel Sanda, Maxim Bazhenov

PLoS Comput. Biol., November, 2022

Biological underpinnings for lifelong learning machines.

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

Nat. Mach. Intell., 2022

Residual and Attentional Architectures for Vector-Symbols.

Wilkie Olin-Ammentorp, Maxim Bazhenov

CoRR, 2022

Deep Phasor Networks: Connecting Conventional and Spiking Neural Networks.

Wilkie Olin-Ammentorp, Maxim Bazhenov

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

A dual-memory architecture for reinforcement learning on neuromorphic platforms.

Wilkie Olin-Ammentorp, Yury Sokolov, Maxim Bazhenov

Neuromorph. Comput. Eng., 2021

Replay in Deep Learning: Current Approaches and Missing Biological Elements.

Tyler L. Hayes, Giri P. Krishnan, Maxim Bazhenov, Hava T. Siegelmann, Terrence J. Sejnowski, Christopher Kanan

Neural Comput., 2021

Bridge Networks.

Wilkie Olin-Ammentorp, Maxim Bazhenov

CoRR, 2021

Bridge Networks: Relating Inputs through Vector-Symbolic Manipulations.

Wilkie Olin-Ammentorp, Maxim Bazhenov

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

2020

Optimality of sparse olfactory representations is not affected by network plasticity.

Collins Assisi, Mark Stopfer, Maxim Bazhenov

PLoS Comput. Biol., 2020

Differential Covariance: A New Method to Estimate Functional Connectivity in fMRI.

Tiger W. Lin, Yusi Chen, Qasim Bukhari, Giri P. Krishnan, Maxim Bazhenov, Terrence J. Sejnowski

Neural Comput., 2020

Biologically inspired sleep algorithm for increased generalization and adversarial robustness in deep neural networks.

Timothy Tadros, Giri P. Krishnan, Ramyaa Ramyaa, Maxim Bazhenov

Proceedings of the 8th International Conference on Learning Representations, 2020

Biologically Inspired Sleep Algorithm for Reducing Catastrophic Forgetting in Neural Networks.

Timothy Tadros, Giri P. Krishnan, Ramyaa Ramyaa, Maxim Bazhenov

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Selective recruitment of cortical neurons by electrical stimulation.

Maxim Komarov, Paola Malerba, Ryan Golden, Paul Nunez, Eric Halgren, Maxim Bazhenov

PLoS Comput. Biol., 2019

Timing between Cortical Slow Oscillations and Heart Rate Bursts during Sleep Predicts Temporal Processing Speed, but Not Offline Consolidation.

Mohsen Naji, Giri P. Krishnan, Elizabeth A. McDevitt, Maxim Bazhenov, Sara C. Mednick

J. Cogn. Neurosci., 2019

Biologically inspired sleep algorithm for artificial neural networks.

Giri P. Krishnan, Timothy Tadros, Ramyaa Ramyaa, Maxim Bazhenov

CoRR, 2019

Large time step discrete-time modeling of sharp wave activity in hippocampal area CA3.

Paola Malerba, Nikolai F. Rulkov, Maxim Bazhenov

Commun. Nonlinear Sci. Numer. Simul., 2019

2018

Differential roles of sleep spindles and sleep slow oscillations in memory consolidation.

Yina Wei, Giri P. Krishnan, Maxim Komarov, Maxim Bazhenov

PLoS Comput. Biol., 2018

Thalamocortical and intracortical laminar connectivity determines sleep spindle properties.

Giri P. Krishnan, Burke Q. Rosen, Jen-Yung Chen, Lyle Muller, Terrence J. Sejnowski, Sydney S. Cash, Eric Halgren, Maxim Bazhenov

PLoS Comput. Biol., 2018

The complex ecosystem in non small cell lung cancer invasion.

Seth Haney, Jessica Konen, Adam I. Marcus, Maxim Bazhenov

PLoS Comput. Biol., 2018

New class of reduced computationally efficient neuronal models for large-scale simulations of brain dynamics.

Maxim Komarov, Giri P. Krishnan, Sylvain Chauvette, Nikolai F. Rulkov, Igor Timofeev, Maxim Bazhenov

J. Comput. Neurosci., 2018

2017

Multi-layer network utilizing rewarded spike time dependent plasticity to learn a foraging task.

Pavel Sanda, Steven Skorheim, Maxim Bazhenov

PLoS Comput. Biol., 2017

Differential Covariance: A New Class of Methods to Estimate Sparse Connectivity from Neural Recordings.

Tiger W. Lin, Anup Das, Giri P. Krishnan, Maxim Bazhenov, Terrence J. Sejnowski

Neural Comput., 2017

Improving efficiency in sparse learning with the feedforward inhibitory motif.

Zihan Xu, Steven Skorheim, Ming Tu, Visar Berisha, Shimeng Yu, Jae-sun Seo, Maxim Bazhenov, Yu Cao

Neurocomputing, 2017

2016

Hippocampal CA1 Ripples as Inhibitory Transients.

Paola Malerba, Giri P. Krishnan, Jean-Marc Fellous, Maxim Bazhenov

PLoS Comput. Biol., 2016

Linking dynamics of the inhibitory network to the input structure.

Maxim Komarov, Maxim Bazhenov

J. Comput. Neurosci., 2016

2015

Feed-Forward versus Feedback Inhibition in a Basic Olfactory Circuit.

Tiffany Kee, Pavel Sanda, Nitin Gupta, Mark Stopfer, Maxim Bazhenov

PLoS Comput. Biol., 2015

Homeostatic role of heterosynaptic plasticity: models and experiments.

Marina Chistiakova, Nicholas M. Bannon, Jen-Yung Chen, Maxim Bazhenov, Maxim Volgushev

Frontiers Comput. Neurosci., 2015

2014

Olfactory Computation in Antennal Lobe and Mushroom Bodies.

Maxim Bazhenov, Mark Stopfer

Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Multistability in Seizure Dynamics.

Maxim Bazhenov, Giri P. Krishnan

Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Top-Down Inputs Enhance Orientation Selectivity in Neurons of the Primary Visual Cortex during Perceptual Learning.

Samat Moldakarimov, Maxim Bazhenov, Terrence J. Sejnowski

PLoS Comput. Biol., 2014

Synchronization of Isolated Downstates (K-Complexes) May Be Caused by Cortically-Induced Disruption of Thalamic Spindling.

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

PLoS Comput. Biol., 2014

2013

Divide and Conquer: Functional Segregation of Synaptic Inputs by Astrocytic Microdomains Could Alleviate Paroxysmal Activity Following Brain Trauma.

Vladislav Volman, Maxim Bazhenov, Terrence J. Sejnowski

PLoS Comput. Biol., 2013

2012

Excitatory Local Interneurons Enhance Tuning of Sensory Information.

Collins Assisi, Mark Stopfer, Maxim Bazhenov

PLoS Comput. Biol., 2012

Computational models of neuron-astrocyte interaction in epilepsy.

Vladislav Volman, Maxim Bazhenov, Terrence J. Sejnowski

Frontiers Comput. Neurosci., 2012

2011

Pattern of trauma determines the threshold for epileptic activity in a model of cortical deafferentation.

Vladislav Volman, Maxim Bazhenov, Terrence J. Sejnowski

Proc. Natl. Acad. Sci. USA, 2011

2010

Representation Sharpening Can Explain Perceptual Priming.

Samat Moldakarimov, Maxim Bazhenov, Terrence J. Sejnowski

Neural Comput., 2010

2008

Synaptic Learning Rules and Sparse Coding in a Model Sensory System.

Luca A. Finelli, Seth Haney, Maxim Bazhenov, Mark Stopfer, Terrence J. Sejnowski

PLoS Comput. Biol., 2008

2006

Thalamocortical oscillations.

Maxim Bazhenov, Igor Timofeev

Scholarpedia, 2006

2004

Oscillations in Large-Scale Cortical Networks: Map-Based Model.

Nikolai F. Rulkov, Igor Timofeev, Maxim Bazhenov

J. Comput. Neurosci., 2004

2002

Scaling a slow-wave sleep cortical network model using NEOSIM.

Fredrick W. Howell, Maxim Bazhenov, P. Rogister, Terrence J. Sejnowski, Nigel H. Goddard

Neurocomputing, 2002

1999

Cortical and thalamic components of augmenting responses: A modeling study.

Arthur R. Houweling, Maxim Bazhenov, Igor Timofeev, Mircea Steriade, Terrence J. Sejnowski

Neurocomputing, 1999