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Neuroscience

D-Index
54
Citations
10653
World Ranking
4922
National Ranking
2211

Overview

Maxim Bazhenov is affiliated with the University of California, San Diego in the United States. Their research primarily focuses on Neuroscience, with a significant concentration in Cognitive Neuroscience and Cellular and Molecular Neuroscience. Additional areas of interest include Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging, and Experimental and Cognitive Psychology.

The scientist's work covers several main topics, including:

  • Neural dynamics and brain function
  • Sleep and Wakefulness Research
  • Functional Brain Connectivity Studies
  • EEG and Brain-Computer Interfaces
  • Neurobiology and Insect Physiology Research
  • Advanced Memory and Neural Computing
  • Neuroscience and Neuropharmacology Research

Maxim Bazhenov has contributed to multiple research papers across various publication venues. Frequent venues include bioRxiv (Cold Spring Harbor Laboratory), arXiv (Cornell University), PLoS Computational Biology, Journal of Neuroscience, and Neural Computation.

Some recent papers include:

  • "Biological underpinnings for lifelong learning machines," 2022, published in Nature Machine Intelligence
  • "Replay in Deep Learning: Current Approaches and Missing Biological Elements," 2021, published in Neural Computation
  • "Bidirectional Interaction of Hippocampal Ripples and Cortical Slow Waves Leads to Coordinated Spiking Activity During NREM Sleep," 2020, published in Cerebral Cortex
  • "Sleep-like unsupervised replay reduces catastrophic forgetting in artificial neural networks," 2022, published in Nature Communications
  • "Replay in Deep Learning: Current Approaches and Missing Biological Elements," 2021, published on arXiv (Cornell University)

Maxim Bazhenov collaborates frequently with several co-authors, including:

  • Giri P. Krishnan
  • Pavel Šanda
  • Seth Haney
  • Jean Erik Delanois
  • Brianna Marsh

Best Publications

  • Origin of Slow Cortical Oscillations in Deafferented Cortical Slabs

    I. Timofeev;F. Grenier;M. Bazhenov;T.J. Sejnowski

  • Model of Thalamocortical Slow-Wave Sleep Oscillations and Transitions to Activated States

    Maxim Bazhenov;Igor Timofeev;Mircea Steriade;Terrence J. Sejnowski;Terrence J. Sejnowski

  • Olfactory representations by Drosophila mushroom body neurons.

    Glenn C. Turner;Maxim Bazhenov;Gilles Laurent

  • Biological underpinnings for lifelong learning machines

    Unknown

  • Model of Transient Oscillatory Synchronization in the Locust Antennal Lobe

    Maxim Bazhenov;Mark Stopfer;Mikhail Rabinovich;Ramon Huerta

  • Oscillations in large-scale cortical networks: map-based model.

    Nikolai F. Rulkov;Igor Timofeev;Maxim Bazhenov

  • Corticothalamic Feedback Controls Sleep Spindle Duration In Vivo

    Maxime Bonjean;Tanya Baker;Maxime Lemieux;Igor Timofeev

  • Potassium Dynamics in the Epileptic Cortex: New Insights on an Old Topic:

    Flavio Fröhlich;Maxim Bazhenov;Vicente Iragui-Madoz;Terrence J. Sejnowski

  • The Impact of Cortical Deafferentation on the Neocortical Slow Oscillation

    Maxime Lemieux;Jen-Yung Chen;Peter Lonjers;Maxim Bazhenov

  • Self-sustained rhythmic activity in the thalamic reticular nucleus mediated by depolarizing GABAA receptor potentials.

    M. Bazhenov;I. Timofeev;M. Steriade;T.J. Sejnowski;T.J. Sejnowski

  • Homeostatic Synaptic Plasticity Can Explain Post-traumatic Epileptogenesis in Chronically Isolated Neocortex

    Arthur R. Houweling;Maxim Bazhenov;Igor Timofeev;Mircea Steriade

  • Model of cellular and network mechanisms for odor-evoked temporal patterning in the locust antennal lobe.

    Maxim Bazhenov;Mark Stopfer;Mikhail Rabinovich;Henry D.I. Abarbanel

  • Ionic dynamics mediate spontaneous termination of seizures and postictal depression state.

    Giri P Krishnan;Maxim Bazhenov

  • Potassium Model for Slow (2-3 Hz) In Vivo Neocortical Paroxysmal Oscillations

    Maxim Bazhenov;Igor Timofeev;Mircea Steriade;Terrence J. Sejnowski

  • Coupling of Thalamocortical Sleep Oscillations Are Important for Memory Consolidation in Humans

    Mohammad Niknazar;Giri P. Krishnan;Maxim Bazhenov;Sara C. Mednick

  • Heterosynaptic Plasticity Multiple Mechanisms and Multiple Roles

    Marina Chistiakova;Nicholas M. Bannon;Maxim Bazhenov;Maxim Volgushev

  • Synchronisation in neural networks

    H.D. Abarbanel;M.I. Rabinovich;A. Selverston;M.V. Bazhenov

  • Intrinsic and circuit properties favor coincidence detection for decoding oscillatory input.

    Javier Perez-Orive;Maxim Bazhenov;Gilles Laurent

  • Interactions between core and matrix thalamocortical projections in human sleep spindle synchronization.

    Maxime Bonjean;Tanya Baker;Maxim Bazhenov;Sydney Cash

  • Homeostatic role of heterosynaptic plasticity: models and experiments.

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

  • Spiking-bursting activity in the thalamic reticular nucleus initiates sequences of spindle oscillations in thalamic networks.

    M. Bazhenov;I. Timofeev;M. Steriade;T. Sejnowski;T. Sejnowski

  • Adaptive regulation of sparseness by feedforward inhibition

    Collins Assisi;Mark Stopfer;Gilles Laurent;Maxim Bazhenov

Frequent Co-Authors

Terrence J. Sejnowski
Terrence J. Sejnowski Salk Institute for Biological Studies
Igor Timofeev
Igor Timofeev Université Laval
Mircea Steriade
Mircea Steriade Université Laval
Mark Stopfer
Mark Stopfer National Institutes of Health
Eric Halgren
Eric Halgren University of California, San Diego
Flavio Fröhlich
Flavio Fröhlich University of North Carolina at Chapel Hill
Sydney S. Cash
Sydney S. Cash Harvard University
Gilles Laurent
Gilles Laurent Max Planck Society
Maxim Volgushev
Maxim Volgushev University of Connecticut
Sara C. Mednick
Sara C. Mednick University of California, Irvine

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