Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Borresen, Jon"'
Autor:
Borresen, Jon, O'Brien, Killian
Human brains are arguably the most complex entities known. Composed of billions of neurons, connected via a highly detailed structure where the underlying method by which functionality occurs is still debated. Here we consider one theory for neural c
Externí odkaz:
http://arxiv.org/abs/1903.10334
Autor:
Lynch, Stephen, Borresen, Jon
This paper presents a stability analysis of simple neuromodules displaying fold bifurcations (leading to hysteresis), flip bifurcations (period doubling and undoubling to and from chaos) and Neimark-Sacker bifurcations (quasiperiodic and periodic bif
Externí odkaz:
http://arxiv.org/abs/1606.07307
Accurately determining and classifying the structure of complex networks is the focus of much current research. One class of network of particular interest are metabolic pathways, which have previously been studied from a graph theoretical viewpoint
Externí odkaz:
http://arxiv.org/abs/1210.2550
Autor:
Ashwin, Peter, Borresen, Jon
Synchronization is known to play a vital role within many highly connected neural systems such as the olfactory systems of fish and insects. In this paper we show how one can robustly and effectively perform practical computations using small perturb
Externí odkaz:
http://arxiv.org/abs/q-bio/0409012
Akademický článek
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Publikováno v:
PLoS ONE. Oct2013, Vol. 8 Issue 10, p1-10. 10p.
Autor:
Borresen, Jon1 (AUTHOR) J.Borresen@mmu.ac.uk, Lynch, Stephen1 (AUTHOR)
Publikováno v:
PLoS ONE. Nov2012, Vol. 7 Issue 11, Special section p1-10. 10p.
This poster was presented at the 33rd New Phytologist Symposium: Networks of Power and Influence: ecology and evolution of symbioses between plants and mycorrhizal fungi. Zurich, Switzerland (2014).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a03ec28e7e5836d5d40c7694606d9a4c