While input frequency and coupling strength were varied, the spatio-temporal dynamics of the network was examined by the bi-orthogonal decomposition technique.
Abstract. A system of coupled bistable Hopf oscillators with an external periodic input source was used to model the ability of interacting neural ...
Schwarz et al. Mode dynamics of interacting neural populations by bi-orthogonal spectral decomposition. Biol. Cybern. (2000). J. Schwarz et al. Low ...
Our aim is to indicate what the methods can achieve and the circumstances under which they are likely to succeed. Toward this end, we include a discussion of ...
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receive more attention in neuroscience is the Koopman operator (88, 89), which extends greatly a method known as dynamic mode decomposition (90). State ...
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Stevens: Mode dynamics of interacting neural populations by bi-orthogonal spectral decomposition. Biol. Cybern. 82, 231-245, 2000; G. Dangelmayr, S. Gadaleta ...
To investigate the dynamics in a hierarchical system of coupled bistable van der Pol oscillators we apply the bi-orthogonal decomposition into empirical ...
coherent patterns in large-scale neural recordings using dynamic mode decomposition. Journal of Neuroscience Methods, 258, 1–15. Brunton, S. L., Budišic, M ...
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Mode dynamics of interacting neural populations by bi-orthogonal spectral decomposition · J. SchwarzA. SieckG. DangelmayrA. Stevens. Biology, Physics.
Mar 20, 2020 · SPECTRAL DECOMPOSITION FOR SPECIFIC. NEURON MODELS. To illustrate the ... Transient dynamics of populations of non-interacting neurons. We ...