Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Mark C W van Rossum"'
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 10, p e1012554 (2024)
Synaptic plasticity enables animals to adapt to their environment, but memory formation can require a substantial amount of metabolic energy, potentially impairing survival. Hence, a neuro-economic dilemma arises whether learning is a profitable inve
Externí odkaz:
https://doaj.org/article/410a0c27454644f6bf5416cffb6c0d99
Autor:
Mark C W van Rossum, Aaron Pache
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 10, p e1012553 (2024)
The brain is not only constrained by energy needed to fuel computation, but it is also constrained by energy needed to form memories. Experiments have shown that learning simple conditioning tasks which might require only a few synaptic updates, alre
Externí odkaz:
https://doaj.org/article/83d922480ba949598c64a09d97e11ef6
Publikováno v:
PLoS Computational Biology, Vol 11, Iss 7, p e1004357 (2015)
Neurons are equipped with homeostatic mechanisms that counteract long-term perturbations of their average activity and thereby keep neurons in a healthy and information-rich operating regime. While homeostasis is believed to be crucial for neural fun
Externí odkaz:
https://doaj.org/article/8d4d0841c47745019e20a451a74ce317
Publikováno v:
PLoS Computational Biology, Vol 11, Iss 6, p e1004265 (2015)
It is believed that energy efficiency is an important constraint in brain evolution. As synaptic transmission dominates energy consumption, energy can be saved by ensuring that only a few synapses are active. It is therefore likely that the formation
Externí odkaz:
https://doaj.org/article/1dded7f1ad16493c81a3f9b8133b86c1
Autor:
Cian eO‘Donnell, Mark C W Van Rossum
Publikováno v:
Frontiers in Computational Neuroscience, Vol 8 (2014)
Electrical signaling in neurons is mediated by the openingand closing of large numbers of individual ion channels. The ion channel'sstate transitions are stochastic and introduce fluctuations in themacroscopic current through ion channel populations.
Externí odkaz:
https://doaj.org/article/59bb1aff2d1441038239621e1dfb8900
Publikováno v:
PLoS Computational Biology, Vol 8, Iss 12, p e1002836 (2012)
Accurate models of synaptic plasticity are essential to understand the adaptive properties of the nervous system and for realistic models of learning and memory. Experiments have shown that synaptic plasticity depends not only on pre- and post-synapt
Externí odkaz:
https://doaj.org/article/25f9811893274a6b97bde65398625785
Publikováno v:
PLoS Computational Biology, Vol 5, Iss 1, p e1000259 (2009)
Recent data indicate that plasticity protocols have not only synapse-specific but also more widespread effects. In particular, in synaptic tagging and capture (STC), tagged synapses can capture plasticity-related proteins, synthesized in response to
Externí odkaz:
https://doaj.org/article/b7eaa29e83384f23b684cb908a76d293
Publikováno v:
Journal of Computational Neuroscience. 50:431-444
Models of synaptic plasticity have been used to better understand neural development as well as learning and memory. One prominent classic model is the Bienenstock-Cooper-Munro (BCM) model that has been particularly successful in explaining plasticit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e03a03e9ff69df42efee991a947c81b9
https://doi.org/10.1007/s10827-022-00824-w
https://doi.org/10.1007/s10827-022-00824-w
Publikováno v:
Frontiers in Computational Neuroscience, Vol 7 (2013)
Short-term synaptic plasticity is highly diverse across brain area,cortical layer, cell type, and developmental stage. Since short-termplasticity shapes neural dynamics, this diversity suggests a specificand essential role in neural information proce
Externí odkaz:
https://doaj.org/article/b4629edd31c54418b1c6cb0880d7cb4f
Publikováno v:
Bulletin of Mathematical Biology
We study the flow of electrical currents in spherical cells with a non-conducting core, so that current flow is restricted to a thin shell below the cell’s membrane. Examples of such cells are fat storing cells (adipocytes). We derive the relation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::082db24e5adebe889461915ee8535e19
https://nottingham-repository.worktribe.com/file/5065316/1/Jiang2020_Article_Electro-physiologyModelsOfCell
https://nottingham-repository.worktribe.com/file/5065316/1/Jiang2020_Article_Electro-physiologyModelsOfCell
