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

Noise promotes independent control of gamma oscillations and grid firing within 1 recurrent attractor networks

Solanka, Lukas and van Rossum, Mark C.W. and Nolan, Matthew F. (2015) Noise promotes independent control of gamma oscillations and grid firing within recurrent attractor networks. eLife, 4 . e06444. ISSN 2050-084X

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 f...

Continuous attractor network models of grid cell firing based on excitatory–inhibitory interactions

Neurons in the medial entorhinal cortex encode location through spatial firing fields that have a grid-like organisation. The challenge of identifying mechanisms for grid firing has been addressed through experimental and theoretical investigations of medial entorhinal circuits. Here, we discuss evidence for continuous attractor network models that account for grid firing by synaptic interactio...

Feedback Inhibition Enables Theta-Nested Gamma Oscillations and Grid Firing Fields

Cortical circuits are thought to multiplex firing rate codes with temporal codes that rely on oscillatory network activity, but the circuit mechanisms that combine these coding schemes are unclear. We establish with optogenetic activation of layer II of the medial entorhinal cortex that theta frequency drive to this circuit is sufficient to generate nested gamma frequency oscillations in synapt...

Noise in Attractor Networks in the Brain Produced by Graded Firing Rate Representations

Representations in the cortex are often distributed with graded firing rates in the neuronal populations. The firing rate probability distribution of each neuron to a set of stimuli is often exponential or gamma. In processes in the brain, such as decision-making, that are influenced by the noise produced by the close to random spike timings of each neuron for a given mean rate, the noise with ...