Zobrazeno 1 - 10
of 135
pro vyhledávání: '"J E, Richardson"'
Publikováno v:
Physical Review Research, Vol 5, Iss 2, p 023095 (2023)
This article is part of the Physical Review Research collection titled Physics of Neuroscience. The spatiotemporal stochastic dynamics of the voltage, as well as the upcrossing rate, are derived for a model neuron comprising a long dendrite with unif
Externí odkaz:
https://doaj.org/article/2da3c24f3d3b4986b71313f51c27cb31
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 4, p e1007175 (2020)
Analytical forms for neuronal firing rates are important theoretical tools for the analysis of network states. Since the 1960s, the majority of approaches have treated neurons as being electrically compact and therefore isopotential. These approaches
Externí odkaz:
https://doaj.org/article/3652b41ea05c4d7b82c3007c8788bf93
Autor:
Alex D Bird, Magnus J E Richardson
Publikováno v:
PLoS Computational Biology, Vol 14, Iss 6, p e1006232 (2018)
Short-term synaptic depression, caused by depletion of releasable neurotransmitter, modulates the strength of neuronal connections in a history-dependent manner. Quantifying the statistics of synaptic transmission requires stochastic models that link
Externí odkaz:
https://doaj.org/article/d3af0e55feac431a8b7d7619653cb07d
Publikováno v:
Frontiers in Neural Circuits, Vol 11 (2017)
Neural circuit activity increases the release of the purine neuromodulator adenosine into the extracellular space leading to A1 receptor activation and negative feedback via membrane hyperpolarization and inhibition of transmitter release. Adenosine
Externí odkaz:
https://doaj.org/article/300c1d2dca694d87b526d2c61a5eb72d
Publikováno v:
Frontiers in Computational Neuroscience, Vol 10 (2016)
Synaptic transmission is both history-dependent and stochastic, resulting in varying responses to presentations of the same presynaptic stimulus. This complicates attempts to infer synaptic parameters and has led to the proposal of a number of differ
Externí odkaz:
https://doaj.org/article/9fdda58c29834086812d923a35d34288
Publikováno v:
PLoS Computational Biology, Vol 11, Iss 8, p e1004165 (2015)
Models of neocortical networks are increasingly including the diversity of excitatory and inhibitory neuronal classes. Significant variability in cellular properties are also seen within a nominal neuronal class and this heterogeneity can be expected
Externí odkaz:
https://doaj.org/article/d6aa1dacd741412a9084b4f3c28612e2
Publikováno v:
Frontiers in Computational Neuroscience, Vol 8 (2014)
Synchrony in a presynaptic population leads to correlations in vesicle occupancy at the active sites for neurotransmitter release. The number of independent release sites per presynaptic neuron, a synaptic parameter recently shown to be modifed durin
Externí odkaz:
https://doaj.org/article/215dfd1ae3484627bdfec16274ee8ce7
Autor:
Juan Lantero-Rodriguez, Kaj Blennow, Thomas K. Karikari, Magnus J. E. Richardson, Mark J. Wall, Henrik Zetterberg, Emily Hill
Publikováno v:
Communications Biology
Communications Biology, Vol 4, Iss 1, Pp 1-15 (2021)
Communications Biology, Vol 4, Iss 1, Pp 1-15 (2021)
Tau protein is involved in maintaining neuronal structure. In Alzheimer’s disease, small numbers of tau molecules can aggregate to form oligomers. However, how these oligomers produce changes in neuronal function remains unclear. Previously, oligom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51c1f895cf5981c5b458cea134891111
https://pubmed.ncbi.nlm.nih.gov/34737403
https://pubmed.ncbi.nlm.nih.gov/34737403
Publikováno v:
British Journal of Pharmacology. 175:1471-1485
Background and purpose Ethanol is a widely used recreational drug with complex effects on physiological and pathological brain function. In epileptic patients, the use of ethanol can modify seizure initiation and subsequent seizure activity with repo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db5e24420ff59dacca9b185759ca95d7
https://doi.org/10.1111/bph.14152
https://doi.org/10.1111/bph.14152
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 16, Iss 4, p e1007175 (2020)
PLoS Computational Biology, Vol 16, Iss 4, p e1007175 (2020)
Analytical forms for neuronal firing rates are important theoretical tools for the analysis of network states. Since the 1960s, the majority of approaches have treated neurons as being electrically compact and therefore isopotential. These approaches
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a36b7a394f7d7d25699d523ecb40ec23
https://doi.org/10.1101/669705
https://doi.org/10.1101/669705
