Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Nozari, Erfan"'
Spectral computational methods leverage modal or nonlocal representations of data, and a physically realized approach to spectral computation pertains to encoded diffraction. Encoded diffraction offers a hybrid approach that pairs analog wave propaga
Externí odkaz:
http://arxiv.org/abs/2304.12172
Neurostimulation technologies have seen a recent surge in interest from the neuroscience and controls communities alike due to their proven potential to treat conditions such as Parkinson's Disease, and depression. The provided stimulation can be of
Externí odkaz:
http://arxiv.org/abs/2210.15957
Autor:
Hahn, Tim, Jamalabadi, Hamidreza, Nozari, Erfan, Winter, Nils R., Ernsting, Jan, Gruber, Marius, Mauritz, Marco J., Grumbach, Pascal, Fisch, Lukas, Leenings, Ramona, Sarink, Kelvin, Blanke, Julian, Vennekate, Leon Kleine, Emden, Daniel, Opel, Nils, Grotegerd, Dominik, Enneking, Verena, Meinert, Susanne, Borgers, Tiana, Klug, Melissa, Leehr, Elisabeth J., Dohm, Katharina, Heindel, Walter, Gross, Joachim, Dannlowski, Udo, Redlich, Ronny, Repple, Jonathan
Electroconvulsive Therapy (ECT) is arguably the most effective intervention for treatment-resistant depression. While large interindividual variability exists, a theory capable of predicting individual response to ECT remains elusive. To address this
Externí odkaz:
http://arxiv.org/abs/2112.07408
Among the versatile forms of dynamical patterns of activity exhibited by the brain, oscillations are one of the most salient and extensively studied, yet are still far from being well understood. In this paper, we provide various structural character
Externí odkaz:
http://arxiv.org/abs/2103.00134
Autor:
Nozari, Erfan, Bertolero, Maxwell A., Stiso, Jennifer, Caciagli, Lorenzo, Cornblath, Eli J., He, Xiaosong, Mahadevan, Arun S., Pappas, George J., Bassett, Dani Smith
A central challenge in the computational modeling of neural dynamics is the trade-off between accuracy and simplicity. At the level of individual neurons, nonlinear dynamics are both experimentally established and essential for neuronal functioning.
Externí odkaz:
http://arxiv.org/abs/2012.12351
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 perform analogous function
Externí odkaz:
http://arxiv.org/abs/2005.01186
Autor:
Srivastava, Pragya, Nozari, Erfan, Kim, Jason Z., Ju, Harang, Zhou, Dale, Becker, Cassiano, Pasqualetti, Fabio, Bassett, Danielle S.
Publikováno v:
Network Neuroscience, 2020
Recent 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 underst
Externí odkaz:
http://arxiv.org/abs/2002.07029
Autor:
Nozari, Erfan, Cortés, Jorge
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 paper proposes a new control-theoretic framework, termed hie
Externí odkaz:
http://arxiv.org/abs/1809.02493
Autor:
Nozari, Erfan, Cortés, Jorge
Goal-driven selective attention (GDSA) refers to the brain's function of prioritizing the activity of a task-relevant subset of its overall network to efficiently process relevant information while inhibiting the effects of distractions. Despite deca
Externí odkaz:
http://arxiv.org/abs/1809.01674
Publikováno v:
In Automatica December 2022 146