Generalising the Kuramoto Model for the study of Neuronal Synchronisation in the Brain

By David Cumin, Charles P. Unsworth. 2007

254 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/84b08e34a0e2a29c84c01582354ee269c82be62a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Tiago Pereira
2. Aneta Stefanovska
3. Peter V. E. McClintock
4. Tomislav Stankovski

In Computer Networks and Communications

1. Tiago Pereira
2. Aneta Stefanovska
3. Peter V. E. McClintock
4. Tomislav Stankovski

Citations in the corpus

• On the Critical Coupling for Kuramoto Oscillators (2010, unknown): “The authors of [24, 18] come to a similar conclusion when analyzing the effects of time-varying frequencies via input-to-state stability arguments or in simulations.”
• Coupling functions:universal insights into dynamical interaction mechanisms (2017, background): “…for many studies and applications (Acebrón et al., 2005; Strogatz, 2000), including neuroscience (Breakspear et al., 2010; Cabral et al., 2014; Cumin and Unsworth, 2007), Josephsonjunction arrays (Filatrella et al., 2000; Wiesenfeld et al., 1996, 1998), power grids (Dorfler and Bullo, 2012;…”