Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Claire M Postlethwaite"'
Autor:
Claire M Postlethwaite, Todd E Dennis
Publikováno v:
PLoS ONE, Vol 8, Iss 5, p e57640 (2013)
Recently, there has been much interest in describing the behaviour of animals by fitting various movement models to tracking data. Despite this interest, little is known about how the temporal 'grain' of movement trajectories affects the outputs of s
Externí odkaz:
https://doaj.org/article/b72c56b8290a46ff87c552f6dbd589fc
Stability of cycling behaviour near a heteroclinic network model of Rock–Paper–Scissors–Lizard–Spock
Publikováno v:
Nonlinearity. 35:1702-1733
The well-known game of Rock--Paper--Scissors can be used as a simple model of competition between three species. When modelled in continuous time using differential equations, the resulting system contains a heteroclinic cycle between the three equil
Publikováno v:
SIAM Journal on Applied Dynamical Systems. 19:366-411
Center manifold reduction is a standard technique in bifurcation theory, reducing the essential features of local bifurcations to equations in a small number of variables corresponding to critical ...
Publikováno v:
Artificial Life. 25:315-333
Engineers, control theorists, and neuroscientists often view the delay imposed by finite signal propagation velocities as a problem that needs to be compensated for or avoided. In this article, we consider the alternative possibility that in some cas
Publikováno v:
Journal of Mathematical Neuroscience
Journal of Mathematical Neuroscience, Vol 11, Iss 1, Pp 1-25 (2021)
Journal of Mathematical Neuroscience, Vol 11, Iss 1, Pp 1-25 (2021)
The brain is intrinsically organized into large-scale networks that constantly re-organize on multiple timescales, even when the brain is at rest. The timing of these dynamics is crucial for sensation, perception, cognition, and ultimately consciousn
Autor:
Claire M. Postlethwaite, Rob Sturman
Publikováno v:
Chaos: An Interdisciplinary Journal of Nonlinear Science. 32:063104
Networks of interacting nodes connected by edges arise in almost every branch of scientific inquiry. The connectivity structure of the network can force the existence of invariant subspaces, which would not arise in generic dynamical systems. These i
Autor:
Peter Ashwin, Claire M. Postlethwaite
Publikováno v:
Biological Cybernetics
Continuous time recurrent neural networks (CTRNN) are systems of coupled ordinary differential equations that are simple enough to be insightful for describing learning and computation, from both biological and machine learning viewpoints. We describ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e6b314fe1e9e6d6d207a85cd481c5c7
http://arxiv.org/abs/2012.04129
http://arxiv.org/abs/2012.04129
Heteroclinic-induced spiral waves may arise in systems of partial differential equations that exhibit robust heteroclinic cycles between spatially uniform equilibria. Robust heteroclinic cycles arise naturally in systems with invariant subspaces, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc453c5430610c402e84da80189f7307
Publikováno v:
The 2020 Conference on Artificial Life.
Autor:
Peter Ashwin, Claire M. Postlethwaite
Publikováno v:
Biological Cybernetics. 116:117-117