Zobrazeno 1 - 10
of 181
pro vyhledávání: '"Sue Ann Campbell"'
Publikováno v:
Frontiers in Computational Neuroscience, Vol 16 (2022)
Neural firing in many inhibitory networks displays synchronous assembly or clustered firing, in which subsets of neurons fire synchronously, and these subsets may vary with different inputs to, or states of, the network. Most prior analytical and com
Externí odkaz:
https://doaj.org/article/a78c8a3f8d7d4bcbaa0c6ed39637b99e
Publikováno v:
Mathematics, Vol 11, Iss 13, p 2911 (2023)
Two nutrient–phytoplankton–zooplankton (NZP) models for a closed ecosystem that incorporates a delay in nutrient recycling, obtained using the gamma distribution function with one or two degrees of freedom, are analysed. The models are described
Externí odkaz:
https://doaj.org/article/015c6f4652944966bb0bf6ce9536f6f5
Autor:
Hwayeon Ryu, Sue Ann Campbell
Publikováno v:
Mathematical Biosciences and Engineering, Vol 17, Iss 6, Pp 7931-7957 (2020)
We study a model for a network of synaptically coupled, excitable neurons to identify the role of coupling delays in generating different network behaviors. The network consists of two distinct populations, each of which contains one excitatory-inhib
Externí odkaz:
https://doaj.org/article/58b98b8606814949be8362d7571a340f
Publikováno v:
Frontiers in Systems Neuroscience, Vol 15 (2021)
The human brain constitutes one of the most advanced networks produced by nature, consisting of billions of neurons communicating with each other. However, this communication is not in real-time, with different communication or time-delays occurring
Externí odkaz:
https://doaj.org/article/f007df6f14db4f9eaa438987ee668c0a
Autor:
Liang Chen, Sue Ann Campbell
Publikováno v:
Journal of Computational Neuroscience. 50:445-469
Networks of spiking neurons with adaption have been shown to be able to reproduce a wide range of neural activities, including the emergent population bursting and spike synchrony that underpin brain disorders and normal function. Exact mean-field mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::356377b9385fb3ccf0508341762e1ac8
https://doi.org/10.1007/s10827-022-00825-9
https://doi.org/10.1007/s10827-022-00825-9
Autor:
Sue Ann Campbell, Wilten Nicola
Publikováno v:
SIAM Journal on Applied Dynamical Systems. 20:1158-1176
The synchronization of different brain regions is widely observed under both normal and pathological conditions such as epilepsy. However, the relationship between the dynamics of these brain regions, the connectivity between them, and the ability to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cf019fe1f69c7853f77494e3c2b3067
https://doi.org/10.1137/20m1370082
https://doi.org/10.1137/20m1370082
Publikováno v:
SIAM Journal on Applied Mathematics. 81:2405-2432
We study a diffusive nutrient-phytoplankton-zooplankton (NPZ) model with spatio-temporal delay. The closed nature of the system allows the formulation of a conservation law of biomass that governs ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebaf967e4240f7ab50a7ef0b5270ea3f
https://doi.org/10.1137/20m1378065
https://doi.org/10.1137/20m1378065
Autor:
Marina A. Chugunova, Sue Ann Campbell
Publikováno v:
Journal of Difference Equations and Applications. 26:753-778
In this paper, we develop a population equation based on the Ricker model with periodic carrying capacity and embedded mechanisms of both weak and strong types of Allee effect: x ( n + 1 ) = x ( n ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a73893164468ea662c3e8e5e0f75e9d
https://doi.org/10.1080/10236198.2020.1787396
https://doi.org/10.1080/10236198.2020.1787396
A Connected Autonomous Vehicle Network (CAVN) is an emerging paradigm that can reduce traffic congestion by allowing vehicles to cooperatively behave according to information out of the line of sight and improve traffic flow by decreasing inter-vehic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d248e1394bb8c4a39c9a66567d89d64
https://doi.org/10.21203/rs.3.rs-1157959/v1
https://doi.org/10.21203/rs.3.rs-1157959/v1
Publikováno v:
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05622daa387d070a745be6caa6fc4121
https://doi.org/10.1109/iros51168.2021.9636739
https://doi.org/10.1109/iros51168.2021.9636739