Zobrazeno 1 - 10
of 280
pro vyhledávání: '"J. Stasik"'
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 11, p e1011625 (2023)
In computational neuroscience, hypotheses are often formulated as bottom-up mechanistic models of the systems in question, consisting of differential equations that can be numerically integrated forward in time. Candidate models can then be validated
Externí odkaz:
https://doaj.org/article/c377ede0c0ea46f288fd1e29a28d2e56
Autor:
Atle E Rimehaug, Alexander J Stasik, Espen Hagen, Yazan N Billeh, Josh H Siegle, Kael Dai, Shawn R Olsen, Christof Koch, Gaute T Einevoll, Anton Arkhipov
Publikováno v:
eLife, Vol 12 (2023)
Local field potential (LFP) recordings reflect the dynamics of the current source density (CSD) in brain tissue. The synaptic, cellular, and circuit contributions to current sinks and sources are ill-understood. We investigated these in mouse primary
Externí odkaz:
https://doaj.org/article/3a4020f2608945f28bfec60e0d95b7e2
Autor:
Kael Dai, Sergey L Gratiy, Yazan N Billeh, Richard Xu, Binghuang Cai, Nicholas Cain, Atle E Rimehaug, Alexander J Stasik, Gaute T Einevoll, Stefan Mihalas, Christof Koch, Anton Arkhipov
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 11, p e1008386 (2020)
Experimental studies in neuroscience are producing data at a rapidly increasing rate, providing exciting opportunities and formidable challenges to existing theoretical and modeling approaches. To turn massive datasets into predictive quantitative fr
Externí odkaz:
https://doaj.org/article/5bade63031044794803202c7bca03c50
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 6 (2020)
The local field potential (LFP) is the low frequency part of the extracellular electrical potential in the brain and reflects synaptic activity onto thousands of neurons around each recording contact. Nowadays, LFPs can be measured at several hundred
Externí odkaz:
https://doaj.org/article/5f014ba90bf04bd3b2370692f17fae2b
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 3, p e1007725 (2020)
Most modeling in systems neuroscience has been descriptive where neural representations such as 'receptive fields', have been found by statistically correlating neural activity to sensory input. In the traditional physics approach to modelling, hypot
Externí odkaz:
https://doaj.org/article/4bfa6120c90f4536ad739860f7adf7a0
Publikováno v:
Physica D : Non-linear phenomena
Hybrid machine learning based on Hamiltonian formulations has recently been successfully demonstrated for simple mechanical systems, both energy conserving and not energy conserving. We introduce a pseudo-Hamiltonian formulation that is a generalizat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb3f7d6d9b5743807195a293240efb97
https://hdl.handle.net/11250/3051813
https://hdl.handle.net/11250/3051813
Autor:
Jan-Eirik W. Skaar, Alexander J. Stasik, Hans Ekkehard Plesser, Gaute T. Einevoll, Kristin Tøndel
In computational neuroscience, hypotheses are often formulated as bottom-up mechanistic models of the systems in question, consisting of differential equations that can be numerically integrated forward in time. Candidate models can then be validated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abdb1383e19a500715bbbdd722df23f4
https://doi.org/10.1101/2022.09.05.506616
https://doi.org/10.1101/2022.09.05.506616
Autor:
Atle E. Rimehaug, Alexander J. Stasik, Espen Hagen, Yazan N. Billeh, Joshua H. Siegle, Kael Dai, Shawn R. Olsen, Christof Koch, Gaute T. Einevoll, Anton Arkhipov
Local field potential (LFP) recordings reflect the dynamics of the current source density (CSD) in brain tissue. The synaptic, cellular and circuit contributions to current sinks and sources are ill-understood. We investigated these in mouse primary
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5c337082ee4233eeb4ddd473f06effb
https://doi.org/10.1101/2022.02.22.481540
https://doi.org/10.1101/2022.02.22.481540
Autor:
Christopher J. Stasik, Hiroaki Nitta, Wenjun Zhang, Charles H. Mosher, James R. Cook, Raymond R. Tubbs, Joseph M. Unger, Tracy A. Brooks, Daniel O. Persky, Sarah T. Wilkinson, Thomas M. Grogan, Lisa M. Rimsza
Publikováno v:
Haematologica, Vol 95, Iss 4 (2010)
Background Translocations involving the MYC gene and increased MYC mRNA levels are associated with poor outcome in diffuse large B-cell lymphoma. However, the presence of increased MYC gene copy number and/or polysomy of chromosome 8 have not been pr
Externí odkaz:
https://doaj.org/article/29094554f78e464e829cbb6b02ff8e81
Autor:
M. J. Stasik
Publikováno v:
DMW - Deutsche Medizinische Wochenschrift. 116:1444-1447
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88af64d4b6ddfe1f6bfff8f4fed3a08a
https://doi.org/10.1055/s-2008-1063771
https://doi.org/10.1055/s-2008-1063771