"... Here we demonstrate the mechanism underlying a purely neocortical delta rhythm generator and show a remarkable laminar, cell subtype and local subcircuit delineation between delta and nested theta rhythms. We show that spike timing during delta-nested theta rhythms controls an iterative, reciprocal interaction between deep and superficial cortical layers resembling the unsupervised learning processes proposed for laminar neural networks by Hinton and colleagues ... and mimicking the alternating cortical dynamics of sensory and memory processing during wakefulness."

Model Type: Realistic Network

Cell Type(s): Neocortex L5/6 pyramidal GLU cell; Neocortex L2/3 pyramidal GLU cell; Neocortex V1 L5B pyramidal pyramidal tract GLU cell; Neocortex fast spiking (FS) interneuron; Neocortex spiking regular (RS) neuron; Neocortex spiking low threshold (LTS) neuron; Neocortex deep neurogliaform interneuron; Neocortex superficial neurogliaform interneuron

Currents: I Na,p; I Na,t; I L high threshold; I A; I K; I M; I h; I K,Ca; I Calcium; I A, slow

Receptors: GabaA; GabaB; AMPA; NMDA

Model Concept(s): Activity Patterns; Bursting; Oscillations; Sleep

Simulation Environment: FORTRAN

Implementer(s): Traub, Roger D [rtraub at us.ibm.com]

References:

Carracedo LM et al. (2013). A neocortical delta rhythm facilitates reciprocal interlaminar interactions via nested theta rhythms. The Journal of neuroscience : the official journal of the Society for Neuroscience. 33 [PubMed]