Parametric computation and persistent gamma in a cortical model (Chambers et al. 2012)

Using the Traub et al (2005) model of the cortex we determined how 33 synaptic strength parameters control gamma oscillations. We used fractional factorial design to reduce the number of runs required to 4096. We found an expected multiplicative interaction between parameters.

Model Type: Realistic Network; Axon; Synapse; Channel/Receptor; Dendrite

Cell Type(s): Neocortex L5/6 pyramidal GLU cell; Neocortex L2/3 pyramidal GLU cell; Neocortex V1 interneuron basket PV GABA cell; Neocortex fast spiking (FS) interneuron; Neocortex spiny stellate cell; Neocortex spiking regular (RS) neuron; Neocortex spiking low threshold (LTS) neuron

Currents: I A; I K; I K,leak; I K,Ca; I Calcium; I_K,Na

Receptors: GabaA; AMPA; NMDA

Transmitters: Gaba; Glutamate

Model Concept(s): Oscillations; Parameter sensitivity

Simulation Environment: NEURON

Implementer(s): Thomas, Evan [evan at evan-thomas.net]; Chambers, Jordan [jordandchambers at gmail.com]

References:

Chambers JD et al. (2012). Parametric computation predicts a multiplicative interaction between synaptic strength parameters that control gamma oscillations. Frontiers in computational neuroscience. 6 [PubMed]