Models 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.	Action potential-evoked Na+ influx are similar in axon and soma (Fleidervish et al. 2010)
3.	Action potential-evoked Na+ influx similar in axon and soma (Fleidervish et al. 2010) (Python)
4.	AP back-prop. explains threshold variability and rapid rise (McCormick et al. 2007, Yu et al. 2008)
5.	Apical Length Governs Computational Diversity of Layer 5 Pyramidal Neurons (Galloni et al 2020)
6.	Auditory cortex layer IV network model (Beeman 2013)
7.	Ave. neuron model for slow-wave sleep in cortex Tatsuki 2016 Yoshida 2018 Rasmussen 2017 (all et al)
8.	Axonal spheroids and conduction defects in Alzheimer’s disease (Yuan, Zhang, Tong, et al 2022)
9.	Biophysically realistic neural modeling of the MEG mu rhythm (Jones et al. 2009)
10.	Ca+/HCN channel-dependent persistent activity in multiscale model of neocortex (Neymotin et al 2016)
11.	Collection of simulated data from a thalamocortical network model (Glabska, Chintaluri, Wojcik 2017)
12.	Combining modeling, deep learning for MEA neuron localization, classification (Buccino et al 2018)
13.	Cortical Layer 5b pyr. cell with [Na+]i mechanisms, from Hay et al 2011 (Zylbertal et al 2017)
14.	Dendritic Impedance in Neocortical L5 PT neurons (Kelley et al. 2021)
15.	Dendritic Na+ spike initiation and backpropagation of APs in active dendrites (Nevian et al. 2007)
16.	Double cable myelinated axon (Layer 5 pyramidal neuron; Cohen et al 2020)
17.	Dynamic cortical interlaminar interactions (Carracedo et al. 2013)
18.	Effects of neural morphology on global and focal NMDA-spikes (Poleg-Polsky 2015)
19.	Electrostimulation to reduce synaptic scaling driven progression of Alzheimers (Rowan et al. 2014)
20.	Emergence of Connectivity Motifs in Networks of Model Neurons (Vasilaki, Giugliano 2014)
21.	Emergence of physiological oscillation frequencies in neocortex simulations (Neymotin et al. 2011)
22.	Excitability of PFC Basal Dendrites (Acker and Antic 2009)
23.	Excitatory synaptic interactions in pyramidal neuron dendrites (Behabadi et al. 2012)
24.	Firing neocortical layer V pyramidal neuron (Reetz et al. 2014; Stadler et al. 2014)
25.	Fluctuating synaptic conductances recreate in-vivo-like activity (Destexhe et al 2001)
26.	Glutamate mediated dendritic and somatic plateau potentials in cortical L5 pyr cells (Gao et al '20)
27.	Hodgkin-Huxley models of different classes of cortical neurons (Pospischil et al. 2008)
28.	Hyperconnectivity, slow synapses in PFC mental retardation and autism model (Testa-Silva et al 2011)
29.	Impact of dendritic size and topology on pyramidal cell burst firing (van Elburg and van Ooyen 2010)
30.	Impedance spectrum in cortical tissue: implications for LFP signal propagation (Miceli et al. 2017)
31.	Influence of dendritic structure on neocortical neuron firing patterns (Mainen and Sejnowski 1996)
32.	Information-processing in lamina-specific cortical microcircuits (Haeusler and Maass 2006)
33.	Inhibition of bAPs and Ca2+ spikes in a multi-compartment pyramidal neuron model (Wilmes et al 2016)
34.	Input Fluctuations effects on f-I curves (Arsiero et al. 2007)
35.	Intracortical synaptic potential modulation by presynaptic somatic potential (Shu et al. 2006, 2007)
36.	Ionic mechanisms of dendritic spikes (Almog and Korngreen 2014)
37.	Irregular spiking in NMDA-driven prefrontal cortex neurons (Durstewitz and Gabriel 2006)
38.	Kinetic NMDA receptor model (Kampa et al 2004)
39.	KInNeSS : a modular framework for computational neuroscience (Versace et al. 2008)
40.	L5 PFC microcircuit used to study persistent activity (Papoutsi et al. 2014, 2013)
41.	L5 PFC pyramidal neurons (Papoutsi et al. 2017)
42.	L5 pyr. cell spiking control by oscillatory inhibition in distal apical dendrites (Li et al 2013)
43.	L5 pyramidal neuron myelination increases analog-digital facilitation extent (Zbili & Debanne 2020)
44.	L5b PC model constrained for BAC firing and perisomatic current step firing (Hay et al., 2011)
45.	Laminar analysis of excitatory circuits in vibrissal motor and sensory cortex (Hooks et al. 2011)
46.	Laminar connectivity matrix simulation (Weiler et al 2008)
47.	Large cortex model with map-based neurons (Rulkov et al 2004)
48.	Large scale neocortical model for PGENESIS (Crone et al 2019)
49.	Large-scale model of neocortical slice in vitro exhibiting persistent gamma (Tomsett et al. 2014)
50.	Layer 5 Pyramidal Neuron (Shai et al., 2015)
51.	Layer V PFC pyramidal neuron used to study persistent activity (Sidiropoulou & Poirazi 2012)
52.	Layer V pyramidal cell model with reduced morphology (Mäki-Marttunen et al 2018)
53.	MCCAIS model (multicompartmental cooperative AIS) (Öz et al 2015)
54.	Mechanisms of magnetic stimulation of central nervous system neurons (Pashut et al. 2011)
55.	Mechanisms underlying subunit independence in pyramidal neuron dendrites (Behabadi and Mel 2014)
56.	MEG of Somatosensory Neocortex (Jones et al. 2007)
57.	Memory savings through unified pre- and postsynaptic STDP (Costa et al 2015)
58.	Microcircuits of L5 thick tufted pyramidal cells (Hay & Segev 2015)
59.	Modeling conductivity profiles in the deep neocortical pyramidal neuron (Wang K et al. 2013)
60.	Motor cortex microcircuit simulation based on brain activity mapping (Chadderdon et al. 2014)
61.	Multitarget pharmacology for Dystonia in M1 (Neymotin et al 2016)
62.	Na+ channel dependence of AP initiation in cortical pyramidal neuron (Kole et al. 2008)
63.	Neocort. pyramidal cells subthreshold somatic voltage controls spike propagation (Munro Kopell 2012)
64.	Neocortical pyramidal neuron: deep; effects of dopamine (Durstewitz et al 2000)
65.	Network model with neocortical architecture (Anderson et al 2007,2012; Azhar et al 2012)
66.	Neural Mass Model for relationship between Brain Rhythms + Functional Connectivity (Ricci et al '21)
67.	Neuronal dendrite calcium wave model (Neymotin et al, 2015)
68.	NMDA spikes in basal dendrites of L5 pyramidal neurons (Polsky et al. 2009)
69.	NN activity impact on neocortical pyr. neurons integrative properties in vivo (Destexhe & Pare 1999)
70.	Non-Weak E-Fields Pyramidal Neurons (Reznik et. al.,2015)
71.	Optical stimulation of a channelrhodopsin-2 positive pyramidal neuron model (Foutz et al 2012)
72.	Parameter estimation for Hodgkin-Huxley based models of cortical neurons (Lepora et al. 2011)
73.	Parametric computation and persistent gamma in a cortical model (Chambers et al. 2012)
74.	Persistent synchronized bursting activity in cortical tissues (Golomb et al 2005)
75.	Pipette and membrane patch geometry effects on GABAa currents patch-clamp exps (Moroni et al. 2011)
76.	Pleiotropic effects of SCZ-associated genes (Mäki-Marttunen et al. 2017)
77.	Preserving axosomatic spiking features despite diverse dendritic morphology (Hay et al., 2013)
78.	Prosthetic electrostimulation for information flow repair in a neocortical simulation (Kerr 2012)
79.	Pyramidal neuron coincidence detection tuned by dendritic branching pattern (Schaefer et al 2003)
80.	Pyramidal Neuron Deep: attenuation in dendrites (Stuart, Spruston 1998)
81.	Pyramidal Neuron Deep: Constrained by experiment (Dyhrfjeld-Johnsen et al. 2005)
82.	Pyramidal Neuron Deep: K+ kinetics (Korngreen, Sakmann 2000)
83.	Pyramidal Neuron: Deep, Thalamic Relay and Reticular, Interneuron (Destexhe et al 1998, 2001)
84.	Pyramidal neurons with mutated SCN2A gene (Nav1.2) (Ben-Shalom et al 2017)
85.	Response properties of neocort. neurons to temporally modulated noisy inputs (Koendgen et al. 2008)
86.	Schiz.-linked gene effects on intrinsic single-neuron excitability (Maki-Marttunen et al. 2016)
87.	SCZ-associated variant effects on L5 pyr cell NN activity and delta osc. (Maki-Marttunen et al 2018)
88.	Selective control of cortical axonal spikes by a slowly inactivating K+ current (Shu et al. 2007)
89.	Sensorimotor cortex reinforcement learning of 2-joint virtual arm reaching (Neymotin et al. 2013)
90.	Sensory-evoked responses of L5 pyramidal tract neurons (Egger et al 2020)
91.	Shaping NMDA spikes by timed synaptic inhibition on L5PC (Doron et al. 2017)
92.	Simulations of oscillations in piriform cortex (Wilson & Bower 1992)
93.	Single cell model with variable ion concentrations and Na+/K+ ATPase (Krishnan et al. 2015)
94.	Sleep-wake transitions in corticothalamic system (Bazhenov et al 2002)
95.	Sodium currents activate without a delay (Baranauskas and Martina 2006)
96.	Space clamp problems in neurons with voltage-gated conductances (Bar-Yehuda and Korngreen 2008)
97.	Spectral method and high-order finite differences for nonlinear cable (Omurtag and Lytton 2010)
98.	Spike repolarization in axon collaterals (Foust et al. 2011)
99.	Spikelet generation and AP initiation in a L5 neocortical pyr neuron (Michalikova et al. 2017) Fig 1
100.	Spikes,synchrony,and attentive learning by laminar thalamocort. circuits (Grossberg & Versace 2007)
101.	State and location dependence of action potential metabolic cost (Hallermann et al., 2012)
102.	STDP depends on dendritic synapse location (Letzkus et al. 2006)
103.	Steady-state Vm distribution of neurons subject to synaptic noise (Rudolph, Destexhe 2005)
104.	Stochastic Ih and Na-channels in pyramidal neuron dendrites (Kole et al 2006)
105.	Stochastic ion channels and neuronal morphology (Cannon et al. 2010)
106.	Stochastic layer V pyramidal neuron: interpulse interval coding and noise (Singh & Levy 2017)
107.	Structure-dynamics relationships in bursting neuronal networks revealed (Mäki-Marttunen et al. 2013)
108.	Studies of stimulus parameters for seizure disruption using NN simulations (Anderson et al. 2007)
109.	Synaptic information transfer in computer models of neocortical columns (Neymotin et al. 2010)
110.	Synaptic integration in tuft dendrites of layer 5 pyramidal neurons (Larkum et al. 2009)
111.	Synaptic scaling balances learning in a spiking model of neocortex (Rowan & Neymotin 2013)
112.	Synchronization by D4 dopamine receptor-mediated phospholipid methylation (Kuznetsova, Deth 2008)
113.	Systematic integration of data into multi-scale models of mouse primary V1 (Billeh et al 2020)
114.	Thalamocortical augmenting response (Bazhenov et al 1998)
115.	Theory of sequence memory in neocortex (Hawkins & Ahmad 2016)
116.	Visual Cortex Neurons: Dendritic computations (Archie, Mel 2000)

Re-display model names with descriptions