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Dmitriy Morozov

Showing results (1-10 of 7) with videos related to

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Plos Computational Biology|September 19, 2018
Robust spatial memory maps encoded by networks with transient connectionsAndrey Babichev, Dmitriy Morozov, Yuri Dabaghian
Network Neuroscience (Cambridge, Mass.)|August 15, 2019
Replays of spatial memories suppress topological fluctuations in cognitive mapAndrey Babichev, Dmitriy Morozov, Yuri Dabaghian
Frontiers in Computational Neuroscience|April 26, 2021
Evaluating State Space Discovery by Persistent Cohomology in the Spatial Representation SystemLouis Kang, Boyan Xu, Dmitriy Morozov
Scientific Reports|April 27, 2021
Machine learning with persistent homology and chemical word embeddings improves prediction accuracy and interpretability in metal-organic frameworksAditi S Krishnapriyan, Joseph Montoya, Maciej Haranczyk, et al.
Computational Astrophysics and Cosmology|June 1, 2019
<i>In situ</i> and in-transit analysis of cosmological simulationsBrian Friesen, Ann Almgren, Zarija Lukić, et al.
Nature Communications|March 17, 2026
Learning earthquake ground motions via conditional generative modelingPu Ren, Rie Nakata, Maxime Lacour, et al.
Elife|November 16, 2021
Topological network analysis of patient similarity for precision management of acute blood pressure in spinal cord injuryAbel Torres-Espín, Jenny Haefeli, Reza Ehsanian, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Plos Computational Biology|September 19, 2018
Robust spatial memory maps encoded by networks with transient connectionsAndrey Babichev, Dmitriy Morozov, Yuri Dabaghian
Network Neuroscience (Cambridge, Mass.)|August 15, 2019
Replays of spatial memories suppress topological fluctuations in cognitive mapAndrey Babichev, Dmitriy Morozov, Yuri Dabaghian
Frontiers in Computational Neuroscience|April 26, 2021
Evaluating State Space Discovery by Persistent Cohomology in the Spatial Representation SystemLouis Kang, Boyan Xu, Dmitriy Morozov
Scientific Reports|April 27, 2021
Machine learning with persistent homology and chemical word embeddings improves prediction accuracy and interpretability in metal-organic frameworksAditi S Krishnapriyan, Joseph Montoya, Maciej Haranczyk, et al.
Computational Astrophysics and Cosmology|June 1, 2019
<i>In situ</i> and in-transit analysis of cosmological simulationsBrian Friesen, Ann Almgren, Zarija Lukić, et al.
Nature Communications|March 17, 2026
Learning earthquake ground motions via conditional generative modelingPu Ren, Rie Nakata, Maxime Lacour, et al.
Elife|November 16, 2021
Topological network analysis of patient similarity for precision management of acute blood pressure in spinal cord injuryAbel Torres-Espín, Jenny Haefeli, Reza Ehsanian, et al.
Pageof 1