Noise promotes independent control of gamma oscillations and grid firing (Solanka et al 2015)

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Accession:183017
"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. ..."
Reference:
1 . Solanka L, van Rossum MCW, Nolan MF (2015) Noise promotes independent control of gamma oscillations and grid firing within recurrent attractor networks eLife 4:e06444 [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Entorhinal cortex;
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s): Gaba; Glutamate;
Simulation Environment: NEST; Python (web link to model);
Model Concept(s): Attractor Neural Network; Place cell/field; Brain Rhythms; Grid cell;
Implementer(s): Solanka, Lukas [l.solanka at sms.ed.ac.uk];
Search NeuronDB for information about:  Gaba; Glutamate;
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