Maxim Bazhenov

Affiliations: 
2005-2012 University of California, Riverside, Riverside, CA, United States 
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"Maxim Bazhenov"
Mean distance: 17.64 (cluster 50)
 

Parents

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Terrence J. Sejnowski research scientist 1997-2008 Salk Institute

Children

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Julio C Dominguez grad student
Tiffany Kee grad student UC Riverside
Timothy L. Myers grad student UC Riverside
Ryan M Golden grad student 2017- UCSD
Steven W. Skorheim grad student 2014 UC Riverside
Oscar C. Gonzalez grad student 2012-2019 UCSD
Giri Krishnan post-doc
Collins G. Assisi post-doc 2005-2012 UC Riverside/Salk Institute
Oscar C. Gonzalez post-doc 2019-2021 UCSD

Collaborators

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Vladislav Volman collaborator
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Publications

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Marsh BM, Navas-Zuloaga MG, Rosen BQ, et al. (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. Biorxiv : the Preprint Server For Biology
Russo S, Claar L, Marks L, et al. (2024) Thalamic feedback shapes brain responses evoked by cortical stimulation in mice and humans. Biorxiv : the Preprint Server For Biology
Wei Y, Luo M, Mai X, et al. (2023) The role of age-related sleep EEG changes in memory decline: experiments and computational modeling. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2023: 1-4
Halgren A, Siegel Z, Golden R, et al. (2023) Multielectrode Cortical Stimulation Selectively Induces Unidirectional Wave Propagation of Excitatory Neuronal Activity in Biophysical Neural Model. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Tadros T, Krishnan GP, Ramyaa R, et al. (2022) Sleep-like unsupervised replay reduces catastrophic forgetting in artificial neural networks. Nature Communications. 13: 7742
Mushtaq M, Marshall L, Bazhenov M, et al. (2022) Differential thalamocortical interactions in slow and fast spindle generation: A computational model. Plos One. 17: e0277772
Golden R, Delanois JE, Sanda P, et al. (2022) Sleep prevents catastrophic forgetting in spiking neural networks by forming a joint synaptic weight representation. Plos Computational Biology. 18: e1010628
Hayes TL, Krishnan GP, Bazhenov M, et al. (2021) Replay in Deep Learning: Current Approaches and Missing Biological Elements. Neural Computation. 1-44
Sanda P, Malerba P, Jiang X, et al. (2020) Bidirectional Interaction of Hippocampal Ripples and Cortical Slow Waves Leads to Coordinated Spiking Activity During NREM Sleep. Cerebral Cortex (New York, N.Y. : 1991)
Lin TW, Chen Y, Bukhari Q, et al. (2020) Differential Covariance: A New Method to Estimate Functional Connectivity in fMRI. Neural Computation. 1-33
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