Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Alexander Rivkind"'
Autor:
Ran Darshan, Alexander Rivkind
Publikováno v:
Cell Reports, Vol 39, Iss 1, Pp 110612- (2022)
Summary: Animals must monitor continuous variables such as position or head direction. Manifold attractor networks—which enable a continuum of persistent neuronal states—provide a key framework to explain this monitoring ability. Neural networks
Externí odkaz:
https://doaj.org/article/dc3134d9724f4b92be4429a8d044ab8c
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 5, p e1007825 (2020)
Biological networks are often heterogeneous in their connectivity pattern, with degree distributions featuring a heavy tail of highly connected hubs. The implications of this heterogeneity on dynamical properties are a topic of much interest. Here we
Externí odkaz:
https://doaj.org/article/32ec9040c8224ce1a5ad1ef2aaa6b518
Autor:
Ran Darshan, Alexander Rivkind
Manifold attractors are a key framework for understanding how continuous variables, such as position or head direction, are encoded in the brain. In this framework, the variable is represented along a continuum of persistent neuronal states which for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16736e144cdef4a565517243687f8a75
https://doi.org/10.1101/2021.06.01.446635
https://doi.org/10.1101/2021.06.01.446635
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 5, p e1007825 (2020)
PLoS Computational Biology
PLoS Computational Biology
Biological networks are often heterogeneous in their connectivity pattern, with degree distributions featuring a heavy tail of highly connected hubs. The implications of this heterogeneity on dynamical properties are a topic of much interest. Here we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80a36ad58ba000af82a35bfc6f02a8ee
Autor:
Rivkind, Alexander1,2 (AUTHOR), Schreier, Hallel2,3 (AUTHOR), Brenner, Naama2,4 (AUTHOR) nbrenner@technion.ac.il, Barak, Omri1,2 (AUTHOR)
Publikováno v:
PLoS Computational Biology. 5/11/2020, Vol. 16 Issue 5, p1-24. 24p. 1 Chart, 10 Graphs.
Autor:
Abdullah Karasan
Financial risk management is quickly evolving with the help of artificial intelligence. With this practical book, developers, programmers, engineers, financial analysts, risk analysts, and quantitative and algorithmic analysts will examine Python-bas