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pro vyhledávání: '"Rawat, Shivang"'
Stability in recurrent neural models poses a significant challenge, particularly in developing biologically plausible neurodynamical models that can be seamlessly trained. Traditional cortical circuit models are notoriously difficult to train due to
Externí odkaz:
http://arxiv.org/abs/2409.18946
Autor:
Rawat, Shivang, Martiniani, Stefano
Stochasticity plays a central role in nearly every biological process, and the noise power spectral density (PSD) is a critical tool for understanding variability and information processing in living systems. In steady-state, many such processes can
Externí odkaz:
http://arxiv.org/abs/2305.19890
Autor:
Rawat, Shivang, Martiniani, Stefano
Stochasticity plays a central role in nearly every biological process, and the noise power spectral density (PSD) is a critical tool for understanding variability and information processing in living systems. In steady-state, many such processes can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa397fb9a86ca44365e79a71c8f9618b
Autor:
Rawat S; Courant Institute of Mathematical Sciences, NYU.; Center for Soft Matter Research, Department of Physics, NYU., Heeger DJ; Department of Psychology, NYU.; Center for Neural Science, NYU., Martiniani S; Courant Institute of Mathematical Sciences, NYU.; Center for Soft Matter Research, Department of Physics, NYU.; Simons Center for Computational Physical Chemistry, Department of Chemistry, NYU.
Publikováno v:
ArXiv [ArXiv] 2024 Oct 31. Date of Electronic Publication: 2024 Oct 31.
Autor:
Rawat S, Martiniani S
Publikováno v:
ArXiv [ArXiv] 2024 Sep 05. Date of Electronic Publication: 2024 Sep 05.