Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Giri P. Krishnan"'
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-12 (2022)
Artificial neural networks are known to perform well on recently learned tasks, at the same time forgetting previously learned ones. The authors propose an unsupervised sleep replay algorithm to recover old tasks synaptic connectivity that may have b
Externí odkaz:
https://doaj.org/article/cf67a05c568644f2913c0dfc5480f9cc
Autor:
Oscar C. González, Zahra Shiri, Giri P. Krishnan, Timothy L. Myers, Sylvain Williams, Massimo Avoli, Maxim Bazhenov
Publikováno v:
Neurobiology of Disease, Vol 109, Iss , Pp 137-147 (2018)
A balance between excitation and inhibition is necessary to maintain stable brain network dynamics. Traditionally, seizure activity is believed to arise from the breakdown of this delicate balance in favor of excitation with loss of inhibition. Surpr
Externí odkaz:
https://doaj.org/article/c0e5d8eaa03f4550a711e42dcd68d522
Publikováno v:
Neurobiology of Disease, Vol 130, Iss , Pp 104485- (2019)
The biophysical mechanisms underlying epileptogenesis and the generation of seizures remain to be better understood. Among many factors triggering epileptogenesis are traumatic brain injury breaking normal synaptic homeostasis and genetic mutations d
Externí odkaz:
https://doaj.org/article/7026705517164354a957b31dafe7d1dd
Publikováno v:
Nutrients, Vol 11, Iss 7, p 1681 (2019)
Nutritional phenotyping can help achieve personalized nutrition, and machine learning tools may offer novel means to achieve phenotyping. The primary aim of this study was to use energy balance components, namely input (dietary energy intake and macr
Externí odkaz:
https://doaj.org/article/c9ded128d2524dbfb3a8e640a3b20d58
Autor:
Brianna Marsh, M Gabriela Navas-Zuloaga, Burke Q Rosen, Yury Sokolov, Jean Erik Delanois, Oscar C Gonzalez, Giri P Krishnan, Eric Halgren, Maxim Bazhenov
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 7, p e1012245 (2024)
Slow-wave sleep (SWS), characterized by slow oscillations (SOs,
Externí odkaz:
https://doaj.org/article/0994387901d5478fab21aeb12256a8e5
Autor:
Pavel Sanda, Jaroslav Hlinka, Monica van den Berg, Antonin Skoch, Maxim Bazhenov, Georgios A Keliris, Giri P Krishnan
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 6, p e1012099 (2024)
Brain activity during the resting state is widely used to examine brain organization, cognition and alterations in disease states. While it is known that neuromodulation and the state of alertness impact resting-state activity, neural mechanisms behi
Externí odkaz:
https://doaj.org/article/a71045f4d0904ef4a9deb05fa1a4f246
Publikováno v:
eLife, Vol 9 (2020)
Continual learning remains an unsolved problem in artificial neural networks. The brain has evolved mechanisms to prevent catastrophic forgetting of old knowledge during new training. Building upon data suggesting the importance of sleep in learning
Externí odkaz:
https://doaj.org/article/171b8bf4542c419c8d5afd06c29baefd
Autor:
Debra K M Tacad, Ashley P Tovar, Christine E Richardson, William F Horn, Nancy L Keim, Giri P Krishnan, Sridevi Krishnan
Publikováno v:
Advances in nutrition (Bethesda, Md.), vol 13, iss 3
Adv Nutr
Adv Nutr
This review focuses on summarizing current knowledge on how time-restricted feeding (TRF) and continuous caloric restriction (CR) affect central neuroendocrine systems involved in regulating satiety. Several interconnected regions of the hypothalamus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ead62519d7f4fa493fabbf883cc20a8d
https://doi.org/10.1093/advances/nmac011
https://doi.org/10.1093/advances/nmac011
Autor:
Debra K M Tacad, Ashley P Tovar, Christine E Richardson, William F Horn, Giri P Krishnan, Nancy L Keim, Sridevi Krishnan
Publikováno v:
Advances in nutrition (Bethesda, Md.), vol 13, iss 3
Adv Nutr
Adv Nutr
Calorie restriction (CR) is a common approach to inducing negative energy balance. Recently, time-restricted feeding (TRF), which involves consuming food within specific time windows during a 24-h day, has become popular owing to its relative ease of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed0f4a60773453198340c8608173a400
https://doi.org/10.1093/advances/nmac014
https://doi.org/10.1093/advances/nmac014
Publikováno v:
PLoS Computational Biology, Vol 14, Iss 7, p e1006322 (2018)
Sleep plays an important role in the consolidation of recent memories. However, the cellular and synaptic mechanisms of consolidation during sleep remain poorly understood. In this study, using a realistic computational model of the thalamocortical n
Externí odkaz:
https://doaj.org/article/a01b9801af5345f4941aa0e1549e4dce