Dynamical encoding by networks of competing neuron groups: winnerless competition.

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Neurophysiological and Computational Principles of Cortical Rhythms in Cognition (2010, background): “In response to long-lasting inputs, short oscillation episodes may reoccur intermittently in a slow temporal pattern (67, 378, 557, 711, 788, 1043).”
Olfactory network dynamics and the coding of multidimensional signals (2002, methodology): “A more abstract approach with smaller networks was used to explore fundamental aspects of these dynamic phenomen”
Computation Through Neural Population Dynamics (2020, background): “The study also serves as yet another example of how different regions of state space can subserve different computational roles (Churchland et al. 2012; Hennequin et al. 2014; Mante et al. 2013; Murakami & Mainen 2015; Rabinovich et al. 2001, 2008; Raposo et al. 2014).”
ROBUST TIMING AND MOTOR PATTERNS BY TAMING CHAOS IN RECURRENT NEURAL NETWORKS (2012, background): “…this theoretical work experimental studies indicate that sensory and motor computations may be encoded in the trajectories of neural activity in high-dimensional space (Balaguer-Ballester et al., 2011; Harvey et al., 2012; Mazor and Laurent, 2005; Nikoli ć et al., 2009; Rabinovich et al., 2001).”