[Comp-neuro] Research Topic "Metastable dynamics of neural ensembles"

Emili Balaguer-Ballester eb-ballester at bournemouth.ac.uk
Tue Jan 6 12:45:06 CET 2015

Research Topic "Metastable dynamics of neural ensembles"


A classical view on neural computation is that it can be characterized in terms of deterministic convergence to fixed-point-type attractor states (representing, e.g., memory patterns in Hopfield 1982) or limit-cycle-like sequential transitions among states (representing e.g. motor or syntactical sequences). Is this still a valid model of how brain dynamics implements cognition? The idea that neuro-computational dynamics is more or less deterministically driven by convergence to simple attractor states has recently been challenged both empirically and by computational work.

In this Research Topic of Frontiers in Systems Neuroscience we welcome experimental studies and modelling contributions addressing the question of stable vs. transient neural population dynamics, and the potential role of noise and trial-to trial variability in neural computation. Major topics are, but are not restricted to:

-Attracting and meta-stable dynamics of neural ensembles, both from empirical and computational modelling perspectives.

-Coding by non-stationary and transient states in neural recordings

-Spontaneous cortical activity dynamics

-Metastable dynamics during cognitive processing

-Oscillatory emergent patterns and propagation of waves in an excitable network

-Trial-to-trial variability

Please see more information in http://journal.frontiersin.org/ResearchTopic/1955. Deadline is on the 31st of March.
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