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Noise promotes independent control of gamma oscillations and grid firing within recurrent attractor networks

Solanka, Lukas; van Rossum, Mark C.W.; Nolan, Matthew F.

Authors

Lukas Solanka

Mark C.W. van Rossum

Matthew F. Nolan



Abstract

Neural computations underlying cognitive functions require calibration of the strength of excitatory and inhibitory synaptic connections and are associated with modulation of gamma frequency oscillations in network activity. However, principles relating gamma oscillations, synaptic strength and circuit computations are unclear. We address this in attractor network models that account for grid firing and theta-nested gamma oscillations in the medial entorhinal cortex. We show that moderate intrinsic noise massively increases the range of synaptic strengths supporting gamma oscillations and grid computation. With moderate noise, variation in excitatory or inhibitory synaptic strength tunes the amplitude and frequency of gamma activity without disrupting grid firing. This beneficial role for noise results from disruption of epileptic-like network states. Thus, moderate noise promotes independent control of multiplexed firing rate- and gamma-based computational mechanisms. Our results have implications for tuning of normal circuit function and for disorders associated with changes in gamma oscillations and synaptic strength.

Journal Article Type Article
Journal eLife
Electronic ISSN 2050-084X
Publisher eLife Sciences Publications
Peer Reviewed Peer Reviewed
Volume 4
Article Number e06444
APA6 Citation Solanka, L., van Rossum, M. C., & Nolan, M. F. (in press). Noise promotes independent control of gamma oscillations and grid firing within recurrent attractor networks. eLife, 4, https://doi.org/10.7554/eLife.06444
DOI https://doi.org/10.7554/eLife.06444
Publisher URL https://elifesciences.org/articles/06444
Copyright Statement Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0





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