ModelDB: Models that contain the Cell : Neocortical Regular Spiking (RS) neuron

Models that contain the Cell : Neocortical Regular Spiking (RS) neuron

(Regular spiking is an activity where a single action potential occurs at a regular (roughly constant) time interval.)

Models
A single column thalamocortical network model (Traub et al 2005)
Altered complexity in layer 2/3 pyramidal neurons (Luuk van der Velden et al. 2012)
Computational Surgery (Lytton et al. 2011)
Engaging distinct oscillatory neocortical circuits (Vierling-Claassen et al. 2010)
Extraction and classification of three cortical neuron types (Mensi et al. 2011)
Hodgkin-Huxley models of different classes of cortical neurons (Pospischil et al. 2008)
Parameter estimation for Hodgkin-Huxley based models of cortical neurons (Lepora et al. 2011)
Parametric computation and persistent gamma in a cortical model (Chambers et al. 2012)
Pyramidal Neuron: Deep, Thalamic Relay and Reticular, Interneuron (Destexhe et al 1998, 2001)
Rate model of a cortical RS-FS-LTS network (Hayut et al. 2011)
Reinforcement learning of targeted movement (Chadderdon et al. 2012)
Synaptic information transfer in computer models of neocortical columns (Neymotin et al. 2010)
Synaptic scaling balances learning in a spiking model of neocortex (Rowan & Neymotin 2013)

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