Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Everton J. Agnes"'
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 8 (2022)
Neuronal networks encode information through patterns of activity that define the networks’ function. The neurons’ activity relies on specific connectivity structures, yet the link between structure and function is not fully understood. Here, we
Externí odkaz:
https://doaj.org/article/1a2c578400604ffda96b6dca724fc315
Publikováno v:
PLoS computational biology. 18(8)
Neuronal networks encode information through patterns of activity that define the networks’ function. The neurons’ activity relies on specific connectivity structures, yet the link between structure and function is not fully understood. Here, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de7aee2d4ed289441baa67cf5dc6ea75
https://pubmed.ncbi.nlm.nih.gov/35969604
https://pubmed.ncbi.nlm.nih.gov/35969604
We use upper triangular matrices as abstract representations of neuronal networks and directly manipulate their eigenspectra and non-normality to explore different regimes of transient amplification. Counter–intuitively, manipulating the imaginary
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a79f62e9ff002cc1dea0ad0f85c08ac
https://doi.org/10.1101/2021.04.01.437964
https://doi.org/10.1101/2021.04.01.437964
Autor:
Tim P. Vogels, Everton J. Agnes
Distinct synapses influence one another when they undergo changes, with unclear consequences for neuronal dynamics and function. Here we show that synapses can interact such that excitatory currents are naturally normalised and balanced by inhibitory
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c05403621128ae1157cda9b719c51ee1
https://doi.org/10.1101/2021.04.01.437962
https://doi.org/10.1101/2021.04.01.437962
Publikováno v:
The Journal of Neuroscience
Cortical areas comprise multiple types of inhibitory interneurons, with stereotypical connectivity motifs that may follow specific plasticity rules. Yet, their combined effect on postsynaptic dynamics has been largely unexplored. Here, we analyze the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc43b182a625f7df6994d9430abd4390
https://www.repository.cam.ac.uk/handle/1810/342778
https://www.repository.cam.ac.uk/handle/1810/342778
Biological memory is known to be flexible — memory formation and recall depend on factors such as the behavioral context of the organism. However, this property is often ignored in associative memory models. Here, we bring this dynamic nature of me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4b27122c3b71d72f1cd113444826794
https://doi.org/10.1101/2020.01.08.898528
https://doi.org/10.1101/2020.01.08.898528
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 479:279-286
The plastic character of brain synapses is considered to be one of the foundations for the formation of memories. There are numerous kinds of such phenomenon currently described in the literature, but their role in the development of information path
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::923340410975fc6ba14a4638a72fb6cd
https://doi.org/10.1016/j.physa.2017.02.035
https://doi.org/10.1016/j.physa.2017.02.035
Cortical areas comprise multiple types of inhibitory interneurons with stereotypical connectivity motifs, but their combined effect on postsynaptic dynamics has been largely unexplored. Here, we analyse the response of a single postsynaptic model neu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::beb17daf0b12792d37466bac5c45e68d
https://doi.org/10.1101/729988
https://doi.org/10.1101/729988
Publikováno v:
Annual review of neuroscience. 40
Inhibitory neurons, although relatively few in number, exert powerful control over brain circuits. They stabilize network activity in the face of strong feedback excitation and actively engage in computations. Recent studies reveal the importance of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16edc249fd7fbbe91df82c6a4b1e1441
https://pubmed.ncbi.nlm.nih.gov/28598717
https://pubmed.ncbi.nlm.nih.gov/28598717
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 391(3):843-848
A synaptic connectivity model is assembled on a spiking neuron network aiming to build up a dynamic pattern recognition system. The connection architecture includes gap junctions and both inhibitory and excitatory chemical synapses based on Hebb’s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3c4cdea6bcf0487e18e34a93dc35712