Danil Tyulmankov

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David A BoasBoston UniversityVerified email at bu.edu
Maria Angela FranceschiniProfessor Harvard Medical SchoolVerified email at mgh.harvard.edu
L F AbbottBrandeis University, CERN, Boston University, Columbia University, Stanford Linear AcceleratorVerified email at columbia.edu
Guangyu Robert YangSilverman (1968) Family Career Development Professor, Massachusetts Institute of TechnologyVerified email at mit.edu
Ching FangColumbia UniversityVerified email at columbia.edu
Peter A. TassProfessor of Neurosurgery, Stanford UniversityVerified email at stanford.edu
Alexander FriedmanAssistant ProfessorVerified email at utep.edu
Kathleen JacqueriePhD candidate in Computational Neuroscience, University of Liege, BelgiumVerified email at uliege.be
Guillaume DrionULg/Brandeis UniversityVerified email at ulg.ac.be
Adithya E RajagopalanPostdoctoral Associate, New York University, Center for Neural ScienceVerified email at nyu.edu
Yash MehtaPhD student, Johns HopkinsVerified email at jh.edu
Jan FunkeHHMI Janelia Research CampusVerified email at janelia.hhmi.org
James E. FitzgeraldAssociate Professor, Northwestern UniversityVerified email at northwestern.edu
Glenn TurnerJanelia Research CampusVerified email at janelia.hhmi.org
Dmitry KrotovMIT-IBM Watson AI Lab & IBM ResearchVerified email at ibm.com
Kimberly Lauren StachenfeldResearch Scientist, Google DeepMindVerified email at google.com
Pierre-Yves SacréUniversity of LiegeVerified email at ulg.ac.be

Danil Tyulmankov

University of Southern California

Verified email at usc.edu

Computational Neuroscience Brain-Machine Interfaces Artificial Intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Time-domain diffuse correlation spectroscopy J Sutin, B Zimmerman, D Tyulmankov, D Tamborini, KC Wu, J Selb, ... Optica 3 (9), 1006-1013, 2016	130	2016
Meta-learning synaptic plasticity and memory addressing for continual familiarity detection D Tyulmankov, GR Yang, LF Abbott Neuron 110 (3), 544-557. e8, 2022	37*	2022
Time domain diffuse correlation spectroscopy: modeling the effects of laser coherence length and instrument response function X Cheng, D Tamborini, SA Carp, O Shatrovoy, B Zimmerman, ... Optics letters 43 (12), 2756-2759, 2018	34	2018
Biological learning in key-value memory networks D Tyulmankov, C Fang, A Vadaparty, GR Yang Thirty-Fifth Conference on Neural Information Processing Systems, 2021	24	2021
Periodic flashing coordinated reset stimulation paradigm reduces sensitivity to ON and OFF period durations D Tyulmankov, PA Tass, H Bokil PloS one 13 (9), e0203782, 2018	10	2018
Systems and methods for determining orientation of an implanted electrical stimulation lead D Tyulmankov, H Bokil US Patent 10,631,937, 2020	5	2020
Analysis of complex neural circuits with nonlinear multidimensional hidden state models A Friedman, JF Slocum, D Tyulmankov*, LG Gibb, A Altshuler, ... Proceedings of the National Academy of Sciences 113 (23), 6538-6543, 2016	4	2016
Model-based inference of synaptic plasticity rules Y Mehta, D Tyulmankov, AE Rajagopalan, GC Turner, JE Fitzgerald, ... bioRxiv, 2023.12. 11.571103, 2023	2	2023
Time-domain diffuse correlation spectroscopy: instrument prototype, preliminary measurements, and theoretical modeling D Tyulmankov Massachusetts Institute of Technology, 2017	2	2017
Memorization and consolidation in associative memory networks D Tyulmankov, K Stachenfeld, D Krotov, L Abbott Associative Memory & Hopfield Networks in 2023, 2023	1	2023
Meta-learning Hebbian plasticity for continual familiarity detection D Tyulmankov, GR Yang, L Abbott Computational and Systems Neuroscience (COSYNE) 2020, 2020	1	2020
Memory consolidation facilitated by burst-driven late-phase plasticity K Jacquerie, D Tyulmankov, P Sacré, G Drion Computational and Systems Neuroscience (COSYNE) 2024, 2024		2024
Synaptic plasticity and memory addressing in biological and artificial neural networks D Tyulmankov Columbia University, 2024		2024
Memory consolidation through combined burst-induced homeostatic reset and structural plasticity K Jacquerie, D Tyulmankov, P Sacré, G Drion Organization for Computational Neuroscience (OCNS), 2023		2023
Switching from tonic firing to bursting: implications on learning and memory K Jacquerie, D Tyulmankov, P Sacré, G Drion European Neuroscience Conference by Doctoral Students (ENCODS) 2023, 2023		2023
Biological learning in key-value memory networks D Tyulmankov, C Fang, LL Dong, A Vadaparty, GR Yang Computational and Systems Neuroscience (COSYNE) 2022, 2022		2022
Systems and methods for generating intermittent stimulation using electrical stimulation systems D Tyulmankov, H Bokil, PA Tass US Patent 11,020,592, 2021		2021

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