Maxim Bazhenov

发表

Can sleep protect memories from catastrophic forgetting?

Oscar C González, Yury Sokolov, Giri P Krishnan, 2020, eLife.

The complex ecosystem in non small cell lung cancer invasion

Maxim Bazhenov, Seth Haney, Jessica Konen, 2017, bioRxiv.

Differential effects of adaptation on odor discrimination.

Maxim Bazhenov, Seth Haney, Debajit Saha, 2018, Journal of neurophysiology.

Improving efficiency in sparse learning with the feedforward inhibitory motif

Shimeng Yu, Yu Cao, Visar Berisha, 2017, Neurocomputing.

Biologically Inspired Sleep Algorithm for Reducing Catastrophic Forgetting in Neural Networks

Maxim Bazhenov, Ramyaa, Timothy Tadros, 2020, AAAI.

Detection of cortical optical changes during seizure activity using optical coherence tomography (Conference Presentation)

Devin K. Binder, Maxim Bazhenov, Boris H. Park, 2017, BiOS.

Genesis and synchronization properties of fast neural oscillations

Nikolai F. Rulkov, Maxim Bazhenov, 2008 .

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

Maxim Bazhenov, Steven Skorheim, Pavel Sanda, 2017, PLoS Comput. Biol..

Representation Sharpening Can Explain Perceptual Priming

Terrence J. Sejnowski, Maxim Bazhenov, Samat Moldakarimov, 2010, Neural Computation.

Optical changes in cortical tissue during seizure activity using optical coherence tomography (Conference Presentation)

Devin K. Binder, Maxim Bazhenov, Boris H. Park, 2017, BiOS.

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

Nikolai F. Rulkov, Maxim Bazhenov, Paola Malerba, 2018 .

Role of network dynamics in shaping spike timing reliability.

Maxim Bazhenov, Jean-Marc Fellous, Igor Timofeev, 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

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

Nikolai F. Rulkov, Maxim Bazhenov, Igor Timofeev, 2017, Journal of Computational Neuroscience.

Perceptual priming leads to reduction of gamma frequency oscillations

Maxim Bazhenov, Samat Moldakarimov, Terrence J Sejnowski, 2010, Proceedings of the National Academy of Sciences.

Selective recruitment of cortical neurons by electrical stimulation

Maxim Bazhenov, Eric Halgren, Maxim Komarov, 2017, bioRxiv.

Distributed Plasticity for Olfactory Learning and Memory in the Honey Bee Brain

Maxim Bazhenov, Ramon Huerta, Brian H. Smith, 2012 .

Synaptic Learning Rules and Sparse Coding in a Model Sensory System

Terrence J. Sejnowski, Maxim Bazhenov, Seth Haney, 2008, PLoS Comput. Biol..

Multistability in neuronal ensembles with balanced couplings

Maxim Bazhenov, Alexander Kozlov, Mikhail I. Rabinovich, 1998 .

Optimality of sparse olfactory representations is not affected by network plasticity

Maxim Bazhenov, Mark Stopfer, Collins Assisi, 2020, PLoS Comput. Biol..

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

Terrence J. Sejnowski, Maxim Bazhenov, Giri P. Krishnan, 2020, Neural Computation.

Decision letter: Theta-modulation drives the emergence of connectivity patterns underlying replay in a network model of place cells

Maxim Bazhenov, 2018 .

Optimal sparse olfactory representations persist in a plastic network

Maxim Bazhenov, Collins Assisi, Mark Stopfer, 2019 .

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

Maxim Bazhenov, Ramyaa, Timothy Tadros, 2020, ICLR.

Correction: Network Models of Frequency Modulated Sweep Detection

Maxim Bazhenov, Steven Skorheim, Khaleel Razak, 2015, PloS one.

Cortical and thalamic components of augmenting responses: A modeling study

Terrence J. Sejnowski, Arthur R. Houweling, Maxim Bazhenov, 1999, Neurocomputing.

Computational models of neuron-astrocyte interaction in epilepsy

Terrence J. Sejnowski, Maxim Bazhenov, Vladislav Volman, 2012, Front. Comput. Neurosci..

Linking dynamics of the inhibitory network to the input structure

Maxim Bazhenov, Maxim Komarov, M. Bazhenov, 2016, Journal of Computational Neuroscience.

Stimulation Augments Spike Sequence Replay and Memory Consolidation during Slow-Wave Sleep

Maxim Bazhenov, Thomas Martinetz, Yina Wei, 2020, The Journal of Neuroscience.

Homeostatic role of heterosynaptic plasticity: models and experiments

Maxim Bazhenov, Maxim Volgushev, Jen-Yung Chen, 2015, Front. Comput. Neurosci..

Synchronisation in neural networks

Allen I. Selverston, Maxim Bazhenov, Mikhail I. Rabinovich, 1996 .

Focal Generation of Paroxysmal Fast Runs during Electrographic Seizures 2008 International League against Epilepsy

Maxim Bazhenov, Igor Timofeev, Sylvain Chauvette, 2022 .

Interleaved training prevents catastrophic forgetting in spiking neural networks

Jean Erik Delanois, Maxim Bazhenov, Ryan Golden, 2019, bioRxiv.

Feed-Forward versus Feedback Inhibition in a Basic Olfactory Circuit

Maxim Bazhenov, Nitin Gupta, Pavel Sanda, 2015, PLoS Comput. Biol..

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

Maxim Bazhenov, Vladislav Volman, Terrence J Sejnowski, 2011, Proceedings of the National Academy of Sciences.

Hippocampal CA1 Ripples as Inhibitory Transients

Maxim Bazhenov, Jean-Marc Fellous, Paola Malerba, 2016, PLoS Comput. Biol..

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

Nikolai F. Rulkov, Maxim Bazhenov, Paola Malerba, 2019, Commun. Nonlinear Sci. Numer. Simul..

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

Nikolai F. Rulkov, Maxim Bazhenov, Igor Timofeev, 2004, Journal of Computational Neuroscience.

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

Terrence J. Sejnowski, Maxim Bazhenov, Samat Moldakarimov, 2014, PLoS Comput. Biol..

Circuit mechanisms of hippocampal reactivation during sleep

Maxim Bazhenov, Paola Malerba, M. Bazhenov, 2019, Neurobiology of Learning and Memory.

Excitatory Local Interneurons Enhance Tuning of Sensory Information

Maxim Bazhenov, Collins Assisi, Mark Stopfer, 2012, PLoS Comput. Biol..

Olfactory Computation in Antennal Lobe and Mushroom Bodies

Maxim Bazhenov, Mark Stopfer, 2014, Encyclopedia of Computational Neuroscience.

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

Maxim Bazhenov, Yina Wei, Maxim Komarov, 2017, bioRxiv.

Multistability in Seizure Dynamics

Maxim Bazhenov, Giri P. Krishnan, M. Bazhenov, 2014, Encyclopedia of Computational Neuroscience.

Differential covariance: A new method to estimate functional connectivity in fMRI

Terrence J. Sejnowski, Maxim Bazhenov, Giri P. Krishnan, 2017, bioRxiv.

Thalamocortical oscillations

Maxim Bazhenov, Igor Timofeev, I. Timofeev, 2006, Scholarpedia.

Feedback stabilizes propagation of synchronous spiking in cortical neural networks

Maxim Bazhenov, Samat Moldakarimov, Terrence J Sejnowski, 2015, Proceedings of the National Academy of Sciences.

Simulating human sleep spindle MEG and EEG from ion channel and circuit level dynamics

Terrence J. Sejnowski, Nikolai F. Rulkov, Maxim Bazhenov, 2018, Journal of Neuroscience Methods.

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

Terrence J. Sejnowski, Maxim Bazhenov, Vladislav Volman, 2013, PLoS Comput. Biol..

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

Maxim Bazhenov, Sara C. Mednick, Elizabeth A. McDevitt, 2019, Journal of Cognitive Neuroscience.

Can sleep protect memories from catastrophic forgetting?

Yury Sokolov, Maxim Bazhenov, Giri P. Krishnan, 2019, bioRxiv.

Oscillations and Synchrony in Large-scale Cortical Network Models

Maxim Bazhenov, Nikolai F Rulkov, N. Rulkov, 2008, Journal of biological physics.

Biologically inspired sleep algorithm for artificial neural networks pdf

Maxim Bazhenov, Ramyaa, Timothy Tadros, 2019, ArXiv.

Thalamocortical and intracortical laminar connectivity determines sleep spindle properties

Terrence J. Sejnowski, Sydney S. Cash, Maxim Bazhenov, 2017, bioRxiv.

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

Terrence J. Sejnowski, Sydney S. Cash, Maxim Bazhenov, 2014, PLoS Comput. Biol..

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

Jean Erik Delanois, Maxim Bazhenov, Pavel Sanda, 2019, PLoS Comput. Biol..

Stimulation Augments Spike Sequence Replay and Memory Consolidation during Slow-Wave Sleep

Thomas Martinetz, Maxim Bazhenov, Yina Wei, 2019, The Journal of Neuroscience.

Figure 1, Effect of feedback inhibition in spike synchronization

Terrence J. Sejnowski, Maxim Bazhenov, Igor Timofeev, 2012 .

Scaling a slow-wave sleep cortical network model using NEOSIM

Terrence J. Sejnowski, Nigel H. Goddard, Fredrick W. Howell, 2002, Neurocomputing.

Figure 5, Variability in neuron – field synchronization during fast runs

Terrence J. Sejnowski, Maxim Bazhenov, Igor Timofeev, 2012 .

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

Terrence J. Sejnowski, Maxim Bazhenov, Anup Das, 2017, Neural Computation.

SYNAPTIC PLASTICITY PROMOTES HIGHLY SYNCHRONOUS ENSEMBLES OF PROJECTION NEURONS IN A MODEL OLFACTORY SYSTEM

Gilles Laurent, Maxim Bazhenov, Mark Stopfer, 2004 .

Deep Phasor Networks: Connecting Conventional and Spiking Neural Networks pdf

Wilkie Olin-Ammentorp, Maxim Bazhenov, M. Bazhenov, 2021, 2022 International Joint Conference on Neural Networks (IJCNN).

Insert Your Title Here pdf

Wilkie Olin-Ammentorp, Maxim Bazhenov, M. Bazhenov, 2021 .

A dual-memory architecture for reinforcement learning on neuromorphic platforms

Wilkie Olin-Ammentorp, Yury Sokolov, Maxim Bazhenov, 2021, Neuromorph. Comput. Eng..

Bridge Networks: Relating Inputs through Vector-Symbolic Manipulations

Wilkie Olin-Ammentorp, Maxim Bazhenov, M. Bazhenov, 2021, ICONS.

Replay in Deep Learning: Current Approaches and Missing Biological Elements

Hava T. Siegelmann, Terrence J. Sejnowski, Maxim Bazhenov, 2021, Neural Computation.

Short‐ and medium‐term plasticity associated with augmenting responses in cortical slabs and spindles in intact cortex of cats in vivo

Maxim Bazhenov, Igor Timofeev, Mircea Steriade, 2002, The Journal of physiology.

The Impact of Cortical Deafferentation on the Neocortical Slow Oscillation

Maxim Bazhenov, Igor Timofeev, Maxime Lemieux, 2014, The Journal of Neuroscience.

Neuronal Synchronization and Thalamocortical Rhythms in Sleep, Wake and Epilepsy

Terrence J. Sejnowski, Maxim Bazhenov, Igor Timofeev, 2012 .

Electrogenic properties of the Na⁺/K⁺ ATPase control transitions between normal and pathological brain states.

Andrey Shilnikov, Giri P Krishnan, Maxim Bazhenov, 2015, Journal of neurophysiology.

Forward and Back: Motifs of Inhibition in Olfactory Processing

Maxim Bazhenov, Mark Stopfer, 2010, Neuron.

Using the Structure of Inhibitory Networks to Unravel Mechanisms of Spatiotemporal Patterning

Maxim Bazhenov, Collins Assisi, Mark Stopfer, 2011, Neuron.

Learning-induced sequence reactivation during sharp-wave ripples: a computational study

Maxim Bazhenov, Paola Malerba, M. Bazhenov, 2017, bioRxiv.

Dynamics of high-frequency synchronization during seizures.

Giri P Krishnan, Maxim Bazhenov, M. Bazhenov, 2013, Journal of neurophysiology.

Adenosine Shifts Plasticity Regimes between Associative and Homeostatic by Modulating Heterosynaptic Changes

Maxim Bazhenov, Maxim Volgushev, Marina Chistiakova, 2017, The Journal of Neuroscience.

Learning Modifies Odor Mixture Processing to Improve Detection of Relevant Components

Maxim Bazhenov, Ramon Huerta, Collins Assisi, 2015, The Journal of Neuroscience.

Ionic and synaptic mechanisms of seizure generation and epileptogenesis

Maxim Bazhenov, Igor Timofeev, Giri P. Krishnan, 2019, Neurobiology of Disease.

Network Models of Frequency Modulated Sweep Detection

Maxim Bazhenov, Steven Skorheim, Khaleel Razak, 2014, PloS one.

Pathological Effect of Homeostatic Synaptic Scaling on Network Dynamics in Diseases of the Cortex

Maxim Bazhenov, Flavio Fröhlich, Terrence J Sejnowski, 2008, The Journal of Neuroscience.

Cortical hyperpolarization-activated depolarizing current takes part in the generation of focal paroxysmal activities

Maxim Bazhenov, Igor Timofeev, Terrence Sejnowski, 2002, Proceedings of the National Academy of Sciences of the United States of America.

Non-homogeneous extracellular resistivity affects the current-source density profiles of up–down state oscillations

Alain Destexhe, Maxim Bazhenov, Steven Skorheim, 2011, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

Corticothalamic Feedback Controls Sleep Spindle Duration In Vivo

Maxime Bonjean, Tanya I. Baker, Maxim Bazhenov, 2011, The Journal of Neuroscience.

Coexistence of tonic firing and bursting in cortical neurons.

Maxim Bazhenov, Flavio Fröhlich, M. Bazhenov, 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

Frequency Transitions in Odor-Evoked Neural Oscillations

Maxim Bazhenov, Baranidharan Raman, Mark Stopfer, 2009, Neuron.

Bidirectional Interaction of Hippocampal Ripples and Cortical Slow Waves Leads to Coordinated Spiking Activity During NREM Sleep.

Jorge Gonzalez-Martinez, Giri P Krishnan, Maxim Bazhenov, 2020, Cerebral cortex.

Coupling of autonomic and central events during sleep benefits declarative memory consolidation

Maxim Bazhenov, Sara C. Mednick, Elizabeth A. McDevitt, 2019, Neurobiology of Learning and Memory.

Slow State Transitions of Sustained Neural Oscillations by Activity-Dependent Modulation of Intrinsic Excitability

Maxim Bazhenov, Flavio Fröhlich, Igor Timofeev, 2006, The Journal of Neuroscience.

Contribution of intrinsic and synaptic factors in the desynchronization of thalamic oscillatory activity

Terrence J. Sejnowski, Maxim Bazhenov, Igor Timofeev, 2001 .

Topological basis of epileptogenesis in a model of severe cortical trauma.

Maxim Bazhenov, Vladislav Volman, Terrence J Sejnowski, 2011, Journal of neurophysiology.

Frequency‐selective augmenting responses by short‐term synaptic depression in cat neocortex

Maxim Bazhenov, Igor Timofeev, Mircea Steriade, 2002, Journal of Physiology.

Experimental evidence and modeling studies support a synchronizing role for electrical coupling in the cat thalamic reticular neurons in vivo

Maxim Bazhenov, Pablo Fuentealba, Igor Timofeev, 2004, The European journal of neuroscience.

17 – Homeostatic Plasticity and post-Traumatic Epileptogenesis

Terrence J. Sejnowski, Arthur R. Houweling, Maxim Bazhenov, 2008 .

Model of Cellular and Network Mechanisms for Odor-Evoked Temporal Patterning in the Locust Antennal Lobe

Terrence J. Sejnowski, Gilles Laurent, Maxim Bazhenov, 2001, Neuron.

Extracellular Potassium Dynamics and Epileptogenesis

Terrence J. Sejnowski, Maxim Bazhenov, Flavio Fröhlich, 2008 .

Multipulse phase resetting curves.

Giri P Krishnan, Maxim Bazhenov, Arkady Pikovsky, 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.

Origin of slow spontaneous resting-state neuronal fluctuations in brain networks

Maxim Bazhenov, Giri P. Krishnan, M. Bazhenov, 2017, Proceedings of the National Academy of Sciences.

Interaction of Hippocampal Ripples and Cortical Slow Waves Leads to Coordinated Large-Scale Sleep Rhythm

Maxim Bazhenov, Eric Halgren, Sydney Cash, 2019, bioRxiv.

Cooperative behavior of a chain of synaptically coupled chaotic neurons

Terrence J. Sejnowski, Ramón Huerta, Maxim Bazhenov, 1998 .

Apis mellifera octopamine receptor 1 (AmOA1) expression in antennal lobe networks of the honey bee (Apis mellifera) and fruit fly (Drosophila melanogaster)

Maxim Bazhenov, Brian H. Smith, Ramon Huerta, 2013, Front. Syst. Neurosci..

Membrane bistability in thalamic reticular neurons during spindle oscillations.

Maxim Bazhenov, Pablo Fuentealba, Igor Timofeev, 2005, Journal of neurophysiology.

Modeling of Age-Dependent Epileptogenesis by Differential Homeostatic Synaptic Scaling

Oscar C González, Giri P Krishnan, Maxim Bazhenov, 2015, The Journal of Neuroscience.

Partial Breakdown of Input Specificity of STDP at Individual Synapses Promotes New Learning

Maxim Bazhenov, Maxim Volgushev, Marina Chistiakova, 2016, The Journal of Neuroscience.