Maxim Bazhenov

According to our database1, Maxim Bazhenov authored at least 42 papers between 1999 and 2023.

Collaborative distances:



In proceedings 
PhD thesis 




Cybershuttle: An End-to-End Cyberinfrastructure Continuum to Accelerate Discovery in Science and Engineering.
Proceedings of the Practice and Experience in Advanced Research Computing, 2023

Sleep prevents catastrophic forgetting in spiking neural networks by forming a joint synaptic weight representation.
PLoS Comput. Biol., November, 2022

Biological underpinnings for lifelong learning machines.
Nat. Mach. Intell., 2022

Residual and Attentional Architectures for Vector-Symbols.
CoRR, 2022

Deep Phasor Networks: Connecting Conventional and Spiking Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2022

A dual-memory architecture for reinforcement learning on neuromorphic platforms.
Neuromorph. Comput. Eng., 2021

Replay in Deep Learning: Current Approaches and Missing Biological Elements.
Neural Comput., 2021

Bridge Networks.
CoRR, 2021

Bridge Networks: Relating Inputs through Vector-Symbolic Manipulations.
Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

Optimality of sparse olfactory representations is not affected by network plasticity.
PLoS Comput. Biol., 2020

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

Selective recruitment of cortical neurons by electrical stimulation.
PLoS Comput. Biol., 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

Differential roles of sleep spindles and sleep slow oscillations in memory consolidation.
PLoS Comput. Biol., 2018

Thalamocortical and intracortical laminar connectivity determines sleep spindle properties.
PLoS Comput. Biol., 2018

The complex ecosystem in non small cell lung cancer invasion.
PLoS Comput. Biol., 2018

New class of reduced computationally efficient neuronal models for large-scale simulations of brain dynamics.
J. Comput. Neurosci., 2018

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

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

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

Hippocampal CA1 Ripples as Inhibitory Transients.
PLoS Comput. Biol., 2016

Linking dynamics of the inhibitory network to the input structure.
J. Comput. Neurosci., 2016

Feed-Forward versus Feedback Inhibition in a Basic Olfactory Circuit.
PLoS Comput. Biol., 2015

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

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 Comput. Biol., 2014

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

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

Excitatory Local Interneurons Enhance Tuning of Sensory Information.
PLoS Comput. Biol., 2012

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

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

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

Synaptic Learning Rules and Sparse Coding in a Model Sensory System.
PLoS Comput. Biol., 2008

Thalamocortical oscillations.
Scholarpedia, 2006

Oscillations in Large-Scale Cortical Networks: Map-Based Model.
J. Comput. Neurosci., 2004

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

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