Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Merav Stern"'
Publikováno v:
eLife, Vol 12 (2023)
The temporal activity of many physical and biological systems, from complex networks to neural circuits, exhibits fluctuations simultaneously varying over a large range of timescales. Long-tailed distributions of intrinsic timescales have been observ
Externí odkaz:
https://doaj.org/article/772a2eacf06c4913bf26c8e65fd58fe3
Autor:
Suzanne M. Lewis, Lai Xu, Nicola Rigolli, Mohammad F. Tariq, Lucas M. Suarez, Merav Stern, Agnese Seminara, David H. Gire
Publikováno v:
Frontiers in Cellular Neuroscience, Vol 15 (2021)
Although mice locate resources using turbulent airborne odor plumes, the stochasticity and intermittency of fluctuating plumes create challenges for interpreting odor cues in natural environments. Population activity within the olfactory bulb (OB) is
Externí odkaz:
https://doaj.org/article/742331807fc047129b6bdcaf8153bf77
Publikováno v:
iScience, Vol 23, Iss 7, Pp 101283- (2020)
Externí odkaz:
https://doaj.org/article/5f53d635c4604a5d931acd97137c3a45
Autor:
Amit Vinograd, Yael Fuchs-Shlomai, Merav Stern, Diptendu Mukherjee, Yuan Gao, Ami Citri, Ian Davison, Adi Mizrahi
Publikováno v:
Cell Reports, Vol 21, Iss 2, Pp 351-365 (2017)
Summary: Motherhood is accompanied by new behaviors aimed at ensuring the wellbeing of the offspring. Olfaction plays a key role in guiding maternal behaviors during this transition. We studied functional changes in the main olfactory bulb (OB) of mo
Externí odkaz:
https://doaj.org/article/39bcaf0a3f1d4be498935e625001d48e
Publikováno v:
eLife, Vol 7 (2018)
Different coding strategies are used to represent odor information at various stages of the mammalian olfactory system. A temporal latency code represents odor identity in olfactory bulb (OB), but this temporal information is discarded in piriform co
Externí odkaz:
https://doaj.org/article/2b7f127f246c44d395a2c4938907dcca
The temporal activity of many biological systems, including neural circuits, exhibits fluctuations simultaneously varying over a large range of timescales. The mechanisms leading to this temporal heterogeneity are yet unknown. Here we show that rando
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d30519dcbab872654ed70a6e0a6b3f6f
https://doi.org/10.1101/2021.10.11.463861
https://doi.org/10.1101/2021.10.11.463861
Autor:
Merav Stern, Tatyana Sharpee
Publikováno v:
Frontiers in Systems Neuroscience, Vol 8 (2014)
In the mammalian brain new neurons are being born throughout adult life in two specific regions: the dentate gyrus (Eriksson et al., 1998) and the olfactory bulb (Lazarini and Lledo, 2011). The neurogenesis process has been shown to play an important
Externí odkaz:
https://doaj.org/article/9c5e86e4f0d2486485dc1f4b40c0265b
Autor:
Lai Xu, Suzanne M. Lewis, Agnese Seminara, David H. Gire, Lucas M. Suarez, Merav Stern, Mohammad F. Tariq, Nicola Rigolli
Publikováno v:
Frontiers in Cellular Neuroscience, Vol 15 (2021)
Frontiers in Cellular Neuroscience
Frontiers in Cellular Neuroscience
Although mice locate resources using turbulent airborne odor plumes, the stochasticity and intermittency of fluctuating plumes create challenges for interpreting odor cues in natural environments. Population activity within the olfactory bulb (OB) is
Autor:
Mohammad F. Tariq, Agnese Seminara, David H. Gire, Lai Xu, Suzanne M. Lewis, Nicola Rigolli, Merav Stern
Although mice locate resources using turbulent airborne odor plumes, the stochasticity and intermittency of fluctuating plumes create challenges for interpreting odor cues in natural environments. Population activity within the olfactory bulb (OB), i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edf60bcb70949dd1eadd7aff3e2f6a77
https://doi.org/10.1101/2020.11.25.399089
https://doi.org/10.1101/2020.11.25.399089
Autor:
Merav Stern, Eric Shea-Brown
In 1982 John Hopfield published a neural network model for memory retrieval, a model that became a cornerstone in theoretical neuroscience. A key ingredient of the Hopfield model was the use of a network dynamics that is governed by a Lyapunov functi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c19953c1537e42f203fcf34028b900aa
http://arxiv.org/abs/2004.08091
http://arxiv.org/abs/2004.08091