Noise promotes independent control of gamma oscillations and grid firing within recurrent attractor networks
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 circ...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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eLife Sciences Publications Ltd
2015-07-01
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| Series: | eLife |
| Subjects: | |
| Online Access: | https://elifesciences.org/articles/06444 |
| _version_ | 1811201060380868608 |
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| author | Lukas Solanka Mark CW van Rossum Matthew F Nolan |
| author_facet | Lukas Solanka Mark CW van Rossum Matthew F Nolan |
| author_sort | Lukas Solanka |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T02:14:32Z |
| format | Article |
| id | doaj.art-5fd3429ace9f47889cec8467fc0601b8 |
| institution | Directory Open Access Journal |
| issn | 2050-084X |
| language | English |
| last_indexed | 2024-04-12T02:14:32Z |
| publishDate | 2015-07-01 |
| publisher | eLife Sciences Publications Ltd |
| record_format | Article |
| series | eLife |
| spelling | doaj.art-5fd3429ace9f47889cec8467fc0601b82022-12-22T03:52:17ZengeLife Sciences Publications LtdeLife2050-084X2015-07-01410.7554/eLife.06444Noise promotes independent control of gamma oscillations and grid firing within recurrent attractor networksLukas Solanka0Mark CW van Rossum1Matthew F Nolan2https://orcid.org/0000-0003-1062-6501Centre for Integrative Physiology, University of Edinburgh, Edinburgh, United Kingdom; Institute for Adaptive and Neural Computation, Edinburgh, United Kingdom; Neuroinformatics Doctoral Training Centre, School of Informatics, University of Edinburgh, Edinburgh, United KingdomInstitute for Adaptive and Neural Computation, Edinburgh, United KingdomCentre for Integrative Physiology, University of Edinburgh, Edinburgh, United KingdomNeural 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.https://elifesciences.org/articles/06444oscillationentorhinal cortexcognitionattractor networksynapseinhibition |
| spellingShingle | Lukas Solanka Mark CW van Rossum Matthew F Nolan Noise promotes independent control of gamma oscillations and grid firing within recurrent attractor networks eLife oscillation entorhinal cortex cognition attractor network synapse inhibition |
| title | Noise promotes independent control of gamma oscillations and grid firing within recurrent attractor networks |
| title_full | Noise promotes independent control of gamma oscillations and grid firing within recurrent attractor networks |
| title_fullStr | Noise promotes independent control of gamma oscillations and grid firing within recurrent attractor networks |
| title_full_unstemmed | Noise promotes independent control of gamma oscillations and grid firing within recurrent attractor networks |
| title_short | Noise promotes independent control of gamma oscillations and grid firing within recurrent attractor networks |
| title_sort | noise promotes independent control of gamma oscillations and grid firing within recurrent attractor networks |
| topic | oscillation entorhinal cortex cognition attractor network synapse inhibition |
| url | https://elifesciences.org/articles/06444 |
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