Zobrazeno 1 - 10
of 1 459
pro vyhledávání: '"STORACE, A."'
Publikováno v:
Journal of Integrated Care, 2024, Vol. 32, Issue 5, pp. 13-24.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JICA-07-2023-0054
In this paper, we study the network pinning control problem in the presence of two different types of coupling: (i) node-to-node coupling among the network nodes and (ii) input-to-node coupling from the source node to the `pinned nodes'. Previous wor
Externí odkaz:
http://arxiv.org/abs/2210.06410
Publikováno v:
Communications Physics, Vol 7, Iss 1, Pp 1-12 (2024)
Abstract Adaptive networks with time-varying connectivity, often called plasticity, provide a fundamental paradigm to model complex dynamical systems. In these systems, different groups of elements frequently exhibit different yet synchronized dynami
Externí odkaz:
https://doaj.org/article/26ee7ce44dff4cd9b3e9f1447d267e7c
Autor:
Storace, Keith1,2 info@kikuimagination.com, Hunt, Helen3,4
Publikováno v:
AI Practitioner. Nov2024, Vol. 26 Issue 4, p73-77. 5p.
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-19 (2023)
Abstract The dynamics of the brain results from the complex interplay of several neural populations and is affected by both the individual dynamics of these areas and their connection structure. Hence, a fundamental challenge is to derive models of t
Externí odkaz:
https://doaj.org/article/f44e8e0e9c8b46f584f0e7fcbaee7cd5
Publikováno v:
Nat Commun 12, 4073 (2021)
Cluster synchronization in networks of coupled oscillators is the subject of broad interest from the scientific community, with applications ranging from neural to social and animal networks and technological systems. Most of these networks are direc
Externí odkaz:
http://arxiv.org/abs/2106.06611
The presence of synchronized clusters in neuron networks is a hallmark of information transmission and processing. The methods commonly used to study cluster synchronization in networks of coupled oscillators ground on simplifying assumptions, which
Externí odkaz:
http://arxiv.org/abs/2007.04182
Publikováno v:
Phys. Rev. E 102, 032406 (2020)
How can we develop simple yet realistic models of the small neural circuits known as central pattern generators (CPGs), which contribute to generate complex multi-phase locomotion in living animals? In this paper we introduce a new model (with design
Externí odkaz:
http://arxiv.org/abs/2005.10517
Akademický článek
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