Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Erfan Nozari"'
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-11 (2024)
Abstract Despite promising advancements, closed-loop neurostimulation for drug-resistant epilepsy (DRE) still relies on manual tuning and produces variable outcomes, while automated predictable algorithms remain an aspiration. As a fundamental step t
Externí odkaz:
https://doaj.org/article/6e1c0c2d04c8495c83893be8c50ecd4a
Publikováno v:
Frontiers in Cellular Neuroscience, Vol 18 (2024)
IntroductionUnderstanding the neural code has been one of the central aims of neuroscience research for decades. Spikes are commonly referred to as the units of information transfer, but multi-unit activity (MUA) recordings are routinely analyzed in
Externí odkaz:
https://doaj.org/article/5c3e2677ba824066a93cf5483f45a72e
Autor:
Hamidreza Jamalabadi, Tim Hahn, Nils R. Winter, Erfan Nozari, Jan Ernsting, Susanne Meinert, Elisabeth J. Leehr, Katharina Dohm, Jochen Bauer, Julia-Katharina Pfarr, Frederike Stein, Florian Thomas-Odenthal, Katharina Brosch, Marco Mauritz, Marius Gruber, Jonathan Repple, Tobias Kaufmann, Axel Krug, Igor Nenadić, Tilo Kircher, Udo Dannlowski, Birgit Derntl
Publikováno v:
Frontiers in Aging Neuroscience, Vol 15 (2023)
BackgroundControllability is a measure of the brain’s ability to orchestrate neural activity which can be quantified in terms of properties of the brain’s network connectivity. Evidence from the literature suggests that aging can exert a general
Externí odkaz:
https://doaj.org/article/bf3c4f6bd6f44c1fb670040cbc9f5544
Autor:
Pragya Srivastava, Erfan Nozari, Jason Z. Kim, Harang Ju, Dale Zhou, Cassiano Becker, Fabio Pasqualetti, George J. Pappas, Danielle S. Bassett
Publikováno v:
Network Neuroscience, Vol 4, Iss 4, Pp 1122-1159 (2020)
AbstractRecent advances in computational models of signal propagation and routing in the human brain have underscored the critical role of white-matter structure. A complementary approach has utilized the framework of network control theory to better
Externí odkaz:
https://doaj.org/article/ed13fdd0ee804ed6a09e4c9c718b13e7
Autor:
Tim Hahn, Hamidreza Jamalabadi, Erfan Nozari, Nils R Winter, Jan Ernsting, Marius Gruber, Marco J Mauritz, Pascal Grumbach, Lukas Fisch, Ramona Leenings, Kelvin Sarink, Julian Blanke, Leon Kleine Vennekate, Daniel Emden, Nils Opel, Dominik Grotegerd, Verena Enneking, Susanne Meinert, Tiana Borgers, Melissa Klug, Elisabeth J Leehr, Katharina Dohm, Walter Heindel, Joachim Gross, Udo Dannlowski, Ronny Redlich, Jonathan Repple
Publikováno v:
PNAS Nexus. 2
Electroconvulsive Therapy (ECT) is arguably the most effective intervention for treatment-resistant depression. While large interindividual variability exists, a theory capable of explaining individual response to ECT remains elusive. To address this
Autor:
Sabbir Ahmed, Erfan Nozari
Publikováno v:
2022 IEEE 61st Conference on Decision and Control (CDC).
Publikováno v:
Annual Reviews in Control. 54:324-326
Autor:
Hamidreza Jamalabadi, Tim Hahn, Nils R. Winter, Erfan Nozari, Jan Ernsting, Susanne Meinert, Elisabeth Leehr, Katharina Dohm, Jochen Bauer, Julia-Katharina Pfarr, Frederike Stein, Florian Thomas-Odenthal, Katharina Brosch, Marco Mauritz, Marius Gruber, Jonathan Repple, Tobias Kaufmann, Axel Krug, Igor Nenadić, Tilo Kircher, Udo Dannlowski, Birgit Derntl
BackgroundControllability is a measure of the brain’s ability to orchestrate neural activity which can be quantified in terms of properties of the brain’s network connectivity. Evidence from the literature suggests that aging can exert a general
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6494f6bbf24f9e84e4be86068ae9ba5
https://doi.org/10.1101/2022.07.13.499891
https://doi.org/10.1101/2022.07.13.499891
Publikováno v:
Nature Machine Intelligence. 3:316-323
The ability to store and manipulate information is a hallmark of computational systems. Whereas computers are carefully engineered to represent and perform mathematical operations on structured data, neurobiological systems adapt to perform analogous
Autor:
Jorge E. Cortes, Erfan Nozari
Publikováno v:
IEEE Transactions on Automatic Control. 66:965-980
Goal-driven selective attention (GDSA) is a remarkable function that allows the complex dynamical networks of the brain to support coherent perception and cognition. Part I of this two-part article proposes a new control-theoretic framework, termed h