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ID: 699276.0, MPI für Dynamik und Selbstorganisation / Netzwerk-Dynamik
Oscillation-Induced Signal Transmission and Gating in Neural Circuits
Authors:Jahnke, Sven; Memmesheimer, Raoul Martin; Timme, Marc
Date of Publication (YYYY-MM-DD):2014-12-11
Title of Journal:PLoS Computational Biology
Issue / Number:12
Sequence Number of Article:1003940
Review Status:Peer-review
Audience:Experts Only
Abstract / Description:Reliable signal transmission constitutes a key requirement for neural circuit function. The propagation of synchronous pulse packets through recurrent circuits is hypothesized to be one robust form of signal transmission and has been extensively studied in computational and theoretical works. Yet, although external or internally generated oscillations are ubiquitous across neural systems, their influence on such signal propagation is unclear. Here we systematically investigate the impact of oscillations on propagating synchrony. We find that for standard, additive couplings and a net excitatory effect of oscillations, robust propagation of synchrony is enabled in less prominent feed-forward structures than in systems without oscillations. In the presence of non-additive coupling (as mediated by fast dendritic spikes), even balanced oscillatory inputs may enable robust propagation. Here, emerging resonances create complex locking patterns between oscillations and spike synchrony. Interestingly, these resonances make the circuits capable of selecting specific pathways for signal transmission. Oscillations may thus promote reliable transmission and, in co-action with dendritic nonlinearities, provide a mechanism for information processing by selectively gating and routing of signals. Our results are of particular interest for the interpretation of sharp wave/ripple complexes in the hippocampus, where previously learned spike patterns are replayed in conjunction with global high-frequency oscillations. We suggest that the oscillations may serve to stabilize the replay.
External Publication Status:published
Document Type:Article
Version Comment:Automatic journal name synchronization
Communicated by:Folkert Mueller-Hoissen
Affiliations:MPI für Dynamik und Selbstorganisation/Netzwerk-Dynamik
External Affiliations:Bernstein Center for Computational Neuroscience (BCCN), Göttingen, Germany
Institute for Nonlinear Dynamics, Fakultät für Physik, Georg-August Universität Göttingen, Göttingen Germany
Department for Neuroinformatics, Donders Institute, Radboud University, Nijmegen, Netherlands
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