Circuits that contain the Neuron : Neocortex L5/6 pyramidal GLU cell

(The cell bodies (somas) of these projection neurons are found in the (deeper) layers 5/6 of cortex, and have a pyramid shape. These cells release glutamate, the most common excitatory neurotransmitter. These are corticothalamic (project to the thalamus), pyramidal tract (project to the brain stem and spinal cord), and intratelencephalic (project to the cortex, possibly the other hemisphere, or the basal ganglia). Where the axon goes determines these additional classes. The apical tuft is thicker for the subtypes of these cells primarily in layer 5b (deeper layer 5) that project to subcortical regions and thinner for those in layer 5a (superficial layer 5) that project through the corpus callosum to the other hemisphere.) Re-display model names with descriptions

	Models
1.	A neural mass model for critical assessment of brain connectivity (Ursino et al 2020)
2.	Auditory cortex layer IV network model (Beeman 2013)
3.	Biophysically realistic neural modeling of the MEG mu rhythm (Jones et al. 2009)
4.	Ca+/HCN channel-dependent persistent activity in multiscale model of neocortex (Neymotin et al 2016)
5.	Collection of simulated data from a thalamocortical network model (Glabska, Chintaluri, Wojcik 2017)
6.	Dynamic cortical interlaminar interactions (Carracedo et al. 2013)
7.	Electrostimulation to reduce synaptic scaling driven progression of Alzheimers (Rowan et al. 2014)
8.	Emergence of Connectivity Motifs in Networks of Model Neurons (Vasilaki, Giugliano 2014)
9.	Emergence of physiological oscillation frequencies in neocortex simulations (Neymotin et al. 2011)
10.	Hyperconnectivity, slow synapses in PFC mental retardation and autism model (Testa-Silva et al 2011)
11.	Information-processing in lamina-specific cortical microcircuits (Haeusler and Maass 2006)
12.	Irregular spiking in NMDA-driven prefrontal cortex neurons (Durstewitz and Gabriel 2006)
13.	KInNeSS : a modular framework for computational neuroscience (Versace et al. 2008)
14.	L5 PFC microcircuit used to study persistent activity (Papoutsi et al. 2014, 2013)
15.	Laminar analysis of excitatory circuits in vibrissal motor and sensory cortex (Hooks et al. 2011)
16.	Laminar connectivity matrix simulation (Weiler et al 2008)
17.	Large cortex model with map-based neurons (Rulkov et al 2004)
18.	Large scale neocortical model for PGENESIS (Crone et al 2019)
19.	Large-scale model of neocortical slice in vitro exhibiting persistent gamma (Tomsett et al. 2014)
20.	MEG of Somatosensory Neocortex (Jones et al. 2007)
21.	Microcircuits of L5 thick tufted pyramidal cells (Hay & Segev 2015)
22.	Motor cortex microcircuit simulation based on brain activity mapping (Chadderdon et al. 2014)
23.	Multiscale model of primary motor cortex circuits predicts in vivo dynamics (Dura-Bernal et al 2023)
24.	Multitarget pharmacology for Dystonia in M1 (Neymotin et al 2016)
25.	Neocort. pyramidal cells subthreshold somatic voltage controls spike propagation (Munro Kopell 2012)
26.	Network model with neocortical architecture (Anderson et al 2007,2012; Azhar et al 2012)
27.	Neural Mass Model for relationship between Brain Rhythms + Functional Connectivity (Ricci et al '21)
28.	Parametric computation and persistent gamma in a cortical model (Chambers et al. 2012)
29.	Persistent synchronized bursting activity in cortical tissues (Golomb et al 2005)
30.	Prosthetic electrostimulation for information flow repair in a neocortical simulation (Kerr 2012)
31.	Response properties of neocort. neurons to temporally modulated noisy inputs (Koendgen et al. 2008)
32.	Sensorimotor cortex reinforcement learning of 2-joint virtual arm reaching (Neymotin et al. 2013)
33.	Sensory-evoked responses of L5 pyramidal tract neurons (Egger et al 2020)
34.	Simulations of oscillations in piriform cortex (Wilson & Bower 1992)
35.	Sleep-wake transitions in corticothalamic system (Bazhenov et al 2002)
36.	Spikes,synchrony,and attentive learning by laminar thalamocort. circuits (Grossberg & Versace 2007)
37.	Structure-dynamics relationships in bursting neuronal networks revealed (Mäki-Marttunen et al. 2013)
38.	Studies of stimulus parameters for seizure disruption using NN simulations (Anderson et al. 2007)
39.	Synaptic information transfer in computer models of neocortical columns (Neymotin et al. 2010)
40.	Synaptic scaling balances learning in a spiking model of neocortex (Rowan & Neymotin 2013)
41.	Synchronization by D4 dopamine receptor-mediated phospholipid methylation (Kuznetsova, Deth 2008)
42.	Systematic integration of data into multi-scale models of mouse primary V1 (Billeh et al 2020)
43.	Thalamocortical augmenting response (Bazhenov et al 1998)
44.	Theory of sequence memory in neocortex (Hawkins & Ahmad 2016)

Re-display model names with descriptions