Flexible information routing by transient synchrony

By A. Palmigiano, Theo Geisel, F. Wolf, Demian Battaglia. 2017

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On the Binding Problem in Artificial Neural Networks (2020, background): “For example, it has been debated whether synchrony is necessary (Merker, 2013; Riesenhuber and Poggio, 1999), fast enough (Ray and Maunsell, 2015; Palmigiano et al., 2017), and is capable of providing sufficient (temporal) resolution24 for separating multiple different objects.”
Colloquium: Criticality and dynamical scaling in living systems (2017, background): “At such a point –i.e. at “the edge of synchrony” (Brunel, 2000; Deco et al., 2014; Palmigiano et al., 2017)– the level of synchronization variability is maximal and scale-free avalanches of activity can be concomitantly observed (Gireesh and Plenz, 2008; Yang et al., 2012).”
Communication dynamics in complex brain networks (2017, background): “The emergent communication process is richly dynamic: noisy fluctuations enables coherence to be rapidly established and dissolved, resulting in selective routing of signals 141 (FIG.”
Neural interactions in the human frontal cortex dissociate reward and punishment learning (2024, background): “We then investigated differential communication patterns and directional relations within the two redundancy-dominated circuits (Kirst et al., 2016; Palmigiano et al., 2017).”