Models that contain the Cell : Abstract integrate-and-fire adaptive exponential (AdEx) neuron

(The adaptive exponential integrate and fire neuron (AdEx) was introduced in Brette R, Gerstner W (2005) ) Re-display model names with descriptions

	Models
1.	A detailed data-driven network model of prefrontal cortex (Hass et al 2016)
2.	A spatial model of the intermediate superior colliculus (Moren et. al. 2013)
3.	An electrophysiological model of GABAergic double bouquet cells (Chrysanthidis et al. 2019)
4.	Asynchronous irregular and up/down states in excitatory and inhibitory NNs (Destexhe 2009)
5.	Brette-Gerstner model (Touboul and Brette 2008)
6.	Dentate Gyrus model including Granule cells with dendritic compartments (Chavlis et al 2017)
7.	Development and Binocular Matching of Orientation Selectivity in Visual Cortex (Xu et al 2020)
8.	eLIF and mAdExp: energy-based integrate-and-fire neurons (Fardet and Levina 2020)
9.	In vivo imaging of dentate gyrus mossy cells in behaving mice (Danielson et al 2017)
10.	Input strength and time-varying oscillation peak frequency (Cohen MX 2014)
11.	Inverse stochastic resonance of cerebellar Purkinje cell (Buchin et al. 2016)
12.	L5 cortical neurons with recreated synaptic inputs in vitro correlation transfer (Linaro et al 2019)
13.	Large-scale model of neocortical slice in vitro exhibiting persistent gamma (Tomsett et al. 2014)
14.	Learning spatiotemporal sequences using recurrent spiking NN that discretizes time (Maes et al 2020)
15.	Linking dynamics of the inhibitory network to the input structure (Komarov & Bazhenov 2016)
16.	Mean Field Equations for Two-Dimensional Integrate and Fire Models (Nicola and Campbell, 2013)
17.	Mean-field models of neural populations under electrical stimulation (Cakan & Obermayer 2020)
18.	Mesoscopic dynamics from AdEx recurrent networks (Zerlaut et al JCNS 2018)
19.	Mesoscopic dynamics from AdEx recurrent networks (Zerlaut et al JCNS 2018) (PyNN)
20.	Network bursts in cultured NN result from different adaptive mechanisms (Masquelier & Deco 2013)
21.	Neuron-based control mechanisms for a robotic arm and hand (Singh et al 2017)
22.	Oscillations emerging from noise-driven NNs (Tchumatchenko & Clopath 2014)
23.	Physiological noise facilitates multiplexed coding of vibrotactile signals in somatosensory cortex
24.	PING, ING and CHING network models for Gamma oscillations in cortex (Susin and Destexhe 2021)
25.	Robust modulation of integrate-and-fire models (Van Pottelbergh et al 2018)
26.	Synaptic scaling balances learning in a spiking model of neocortex (Rowan & Neymotin 2013)
27.	Tag Trigger Consolidation (Clopath and Ziegler et al. 2008)
28.	Vibration-sensitive Honeybee interneurons (Ai et al 2017)

Re-display model names with descriptions