Zobrazeno 1 - 10
of 994
pro vyhledávání: '"Ramin, M."'
Autor:
Filip Vujovic, Mary Simonian, William E. Hughes, Claire E. Shepherd, Neil Hunter, Ramin M. Farahani
Publikováno v:
Cell Communication and Signaling, Vol 22, Iss 1, Pp 1-19 (2024)
Abstract Mitochondrial activity directs neuronal differentiation dynamics during brain development. In this context, the long-established metabolic coupling of mitochondria and the eukaryotic host falls short of a satisfactory mechanistic explanation
Externí odkaz:
https://doaj.org/article/e614816f591446b3bb144eb2a89bf3bd
Autor:
Farhang Alem, Ashwini Brahms, Kaori Tarasaki, Samson Omole, Kylene Kehn-Hall, Connie S. Schmaljohn, Sina Bavari, Shinji Makino, Ramin M. Hakami
Publikováno v:
Frontiers in Cellular and Infection Microbiology, Vol 14 (2024)
The mosquito-borne Rift Valley fever virus (RVFV) from the Phenuiviridae family is a single-stranded RNA virus that causes the re-emerging zoonotic disease Rift Valley fever (RVF). Classified as a Category A agent by the NIH, RVFV infection can cause
Externí odkaz:
https://doaj.org/article/bf372d6714b84a879e31760e2a0f982d
Publikováno v:
In Animal Feed Science and Technology May 2024 311
Publikováno v:
In animal February 2024 18(2)
Autor:
Martins, L.F., Cueva, S.F., Lage, C.F.A., Ramin, M., Silvestre, T., Tricarico, J., Hristov, A.N. *
Publikováno v:
In Journal of Dairy Science January 2024 107(1):288-300
Publikováno v:
PLoS ONE, Vol 19, Iss 6, p e0306345 (2024)
Chronic liver diseases are caused by hepatic viral infection, chemicals, and metabolic stress. The protein Grb2-associated binder 1 (Gab1) binds to various growth factor receptors, and triggers cell differentiation/survival signaling pathways. To ide
Externí odkaz:
https://doaj.org/article/abf9689b6ce5496b9d1f101b1a1626f1
Akademický článek
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In this paper, we introduce the notion of liquid time-constant (LTC) recurrent neural networks (RNN)s, a subclass of continuous-time RNNs, with varying neuronal time-constant realized by their nonlinear synaptic transmission model. This feature is in
Externí odkaz:
http://arxiv.org/abs/1811.00321
Autor:
Hasani, Ramin M., Amini, Alexander, Lechner, Mathias, Naser, Felix, Grosu, Radu, Rus, Daniela
In this paper, we introduce a novel method to interpret recurrent neural networks (RNNs), particularly long short-term memory networks (LSTMs) at the cellular level. We propose a systematic pipeline for interpreting individual hidden state dynamics w
Externí odkaz:
http://arxiv.org/abs/1809.03864
We propose an effective way to create interpretable control agents, by re-purposing the function of a biological neural circuit model, to govern simulated and real world reinforcement learning (RL) test-beds. We model the tap-withdrawal (TW) neural c
Externí odkaz:
http://arxiv.org/abs/1803.08554