Maxim Bazhenov

According to our database1, Maxim Bazhenov authored at least 32 papers between 1999 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Optimality of sparse olfactory representations is not affected by network plasticity.
PLoS Computational Biology, 2020

Biologically inspired sleep algorithm for increased generalization and adversarial robustness in deep neural networks.
Proceedings of the 8th International Conference on Learning Representations, 2020

Biologically Inspired Sleep Algorithm for Reducing Catastrophic Forgetting in Neural Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Selective recruitment of cortical neurons by electrical stimulation.
PLoS Computational Biology, 2019

Timing between Cortical Slow Oscillations and Heart Rate Bursts during Sleep Predicts Temporal Processing Speed, but Not Offline Consolidation.
J. Cogn. Neurosci., 2019

Biologically inspired sleep algorithm for artificial neural networks.
CoRR, 2019

Large time step discrete-time modeling of sharp wave activity in hippocampal area CA3.
Commun. Nonlinear Sci. Numer. Simul., 2019

2018
Differential roles of sleep spindles and sleep slow oscillations in memory consolidation.
PLoS Computational Biology, 2018

Thalamocortical and intracortical laminar connectivity determines sleep spindle properties.
PLoS Computational Biology, 2018

The complex ecosystem in non small cell lung cancer invasion.
PLoS Computational Biology, 2018

New class of reduced computationally efficient neuronal models for large-scale simulations of brain dynamics.
Journal of Computational Neuroscience, 2018

2017
Multi-layer network utilizing rewarded spike time dependent plasticity to learn a foraging task.
PLoS Computational Biology, 2017

Differential Covariance: A New Class of Methods to Estimate Sparse Connectivity from Neural Recordings.
Neural Computation, 2017

Improving efficiency in sparse learning with the feedforward inhibitory motif.
Neurocomputing, 2017

2016
Hippocampal CA1 Ripples as Inhibitory Transients.
PLoS Computational Biology, 2016

Linking dynamics of the inhibitory network to the input structure.
Journal of Computational Neuroscience, 2016

2015
Feed-Forward versus Feedback Inhibition in a Basic Olfactory Circuit.
PLoS Computational Biology, 2015

Homeostatic role of heterosynaptic plasticity: models and experiments.
Frontiers Comput. Neurosci., 2015

2014
Olfactory Computation in Antennal Lobe and Mushroom Bodies.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Multistability in Seizure Dynamics.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Top-Down Inputs Enhance Orientation Selectivity in Neurons of the Primary Visual Cortex during Perceptual Learning.
PLoS Computational Biology, 2014

Synchronization of Isolated Downstates (K-Complexes) May Be Caused by Cortically-Induced Disruption of Thalamic Spindling.
PLoS Computational Biology, 2014

2013
Divide and Conquer: Functional Segregation of Synaptic Inputs by Astrocytic Microdomains Could Alleviate Paroxysmal Activity Following Brain Trauma.
PLoS Computational Biology, 2013

2012
Excitatory Local Interneurons Enhance Tuning of Sensory Information.
PLoS Computational Biology, 2012

Computational models of neuron-astrocyte interaction in epilepsy.
Frontiers Comput. Neurosci., 2012

2011
Pattern of trauma determines the threshold for epileptic activity in a model of cortical deafferentation.
Proc. Natl. Acad. Sci. USA, 2011

2010
Representation Sharpening Can Explain Perceptual Priming.
Neural Computation, 2010

2008
Synaptic Learning Rules and Sparse Coding in a Model Sensory System.
PLoS Computational Biology, 2008

2006
Thalamocortical oscillations.
Scholarpedia, 2006

2004
Oscillations in Large-Scale Cortical Networks: Map-Based Model.
Journal of Computational Neuroscience, 2004

2002
Scaling a slow-wave sleep cortical network model using NEOSIM.
Neurocomputing, 2002

1999
Cortical and thalamic components of augmenting responses: A modeling study.
Neurocomputing, 1999


  Loading...