Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Danil Tyulmankov"'
Publikováno v:
PLoS ONE, Vol 13, Iss 9, p e0203782 (2018)
Pathological synchronization in the basal ganglia network has been considered an important component of Parkinson's disease pathophysiology. An established treatment for some patients with Parkinson's disease is deep brain stimulation, in which a ton
Externí odkaz:
https://doaj.org/article/e0d4f2a9e7ee45e5bbcff69df280e466
Over the course of a lifetime, a continual stream of information is encoded and retrieved from memory. To explore the synaptic mechanisms that enable this ongoing process, we consider a continual familiarity detection task in which a subject must rep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b96598fa0d2170cfa4aaafc02812305a
https://doi.org/10.1101/2021.03.21.436287
https://doi.org/10.1101/2021.03.21.436287
Publikováno v:
Neuron
Summary Over the course of a lifetime, we process a continual stream of information. Extracted from this stream, memories must be efficiently encoded and stored in an addressable manner for retrieval. To explore potential mechanisms, we consider a fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::210865ba516e668e025762dc55a0af95
https://doi.org/10.1016/j.neuron.2021.11.009
https://doi.org/10.1016/j.neuron.2021.11.009
Autor:
Sebastian E. Toro Arana, Alex Altshuler, Suthee Ruangwises, Joshua F. Slocum, Alexander Friedman, Danil Tyulmankov, Ann M. Graybiel, Leif G. Gibb, Jacquelyn Sholes, Qinru Shi, Dirk W. Beck
Publikováno v:
Proceedings of the National Academy of Sciences. 113:6538-6543
A universal need in understanding complex networks is the identification of individual information channels and their mutual interactions under different conditions. In neuroscience, our premier example, networks made up of billions of nodes dynamica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d22a082a558123ebbf72e344718afcff
https://doi.org/10.1073/pnas.1606280113
https://doi.org/10.1073/pnas.1606280113
Autor:
Andrew M. Siegel, Megan Blackwell, Bernhard Zimmerman, Maria Angela Franceschini, Oleg Shatrovoy, Davide Tamborini, Stefan A. Carp, David A. Boas, Xiaojun Cheng, Danil Tyulmankov
Publikováno v:
Optics letters. 43(12)
Diffuse correlation spectroscopy (DCS) is an optical technique that non-invasively quantifies an index of blood flow (BF(i)) by measuring the temporal autocorrelation function of the intensity fluctuations of light diffusely remitted from the tissue.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6dbf1038aebe32a86083e2383c582d87
https://pubmed.ncbi.nlm.nih.gov/29905681
https://pubmed.ncbi.nlm.nih.gov/29905681
Autor:
Kuan Cheng Wu, David A. Boas, Alberto Tosi, Maria Angela Franceschini, Ivan Rech, Jason Sutin, Angelo Gulinatti, Bernhard Zimmerman, Juliette Selb, Danil Tyulmankov, Davide Tamborini
Physiological monitoring of oxygen delivery to the brain has great significance for improving the management of patients at risk for brain injury. Diffuse correlation spectroscopy (DCS) is a rapidly growing optical technology able to non-invasively a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e30503d1092e4fa4a9ba8f2db19e521
http://hdl.handle.net/11311/1009636
http://hdl.handle.net/11311/1009636