Circuits that contain the Cell : Abstract integrate-and-fire leaky neuron

(A simple electrical model of a neuron first introduced in (Lapicque 1907)) Re-display model names with descriptions

	Models
1.	A full-scale cortical microcircuit spiking network model (Shimoura et al 2018)
2.	A spiking neural network model of model-free reinforcement learning (Nakano et al 2015)
3.	A spiking NN for amplification of feature-selectivity with specific connectivity (Sadeh et al 2015)
4.	Biophysical model for field potentials of networks of I&F neurons (beim Graben & Serafim 2013)
5.	Complex dynamics: reproducing Golgi cell electroresponsiveness (Geminiani et al 2018, 2019ab)
6.	Dentate Gyrus model including Granule cells with dendritic compartments (Chavlis et al 2017)
7.	Diffusive homeostasis in a spiking network model (Sweeney et al. 2015)
8.	Disrupted information processing in Fmr1-KO mouse layer 4 barrel cortex (Domanski et al 2019)
9.	Dynamical patterns underlying response properties of cortical circuits (Keane et al 2018)
10.	Emergence of spatiotemporal sequences in spiking neuronal networks (Spreizer et al 2019)
11.	Excitatory and inhibitory population activity (Bittner et al 2017) (Litwin-Kumar & Doiron 2017)
12.	Explainable AI for spatial navigation based on hippocampal circuitry (Coppolino + Migliore 2023)
13.	Functional balanced networks with synaptic plasticity (Sadeh et al, 2015)
14.	Gap junction plasticity as a mechanism to regulate network-wide oscillations (Pernelle et al 2018)
15.	Grid cell oscillatory interference with noisy network oscillators (Zilli and Hasselmo 2010)
16.	Grid cell spatial firing models (Zilli 2012)
17.	Hierarchical network model of perceptual decision making (Wimmer et al 2015)
18.	Hippocampal spiking model for context dependent behavior (Raudies & Hasselmo 2014)
19.	I&F recurrent networks with current- or conductance-based synapses (Cavallari et al. 2014)
20.	Inhibition perturbations reveals dynamical structure of neural processing (Sadeh & Clopath 2020)
21.	Inhibitory cells enable sparse coding in V1 model (King et al. 2013)
22.	MDD: the role of glutamate dysfunction on Cingulo-Frontal NN dynamics (Ramirez-Mahaluf et al 2017)
23.	Mean-field models of neural populations under electrical stimulation (Cakan & Obermayer 2020)
24.	Minimal model of interictal and ictal discharges “Epileptor-2” (Chizhov et al 2018)
25.	Models for cortical UP-DOWN states in a bistable inhibitory-stabilized network (Jercog et al 2017)
26.	Networks of spiking neurons: a review of tools and strategies (Brette et al. 2007)
27.	Neural transformations on spike timing information (Tripp and Eliasmith 2007)
28.	Neuronify: An Educational Simulator for Neural Circuits (Dragly et al 2017)
29.	Norns - Neural Network Studio (Visser & Van Gils 2014)
30.	Olfactory Bulb mitral-granule network generates beta oscillations (Osinski & Kay 2016)
31.	Optimal Localist and Distributed Coding Through STDP (Masquelier & Kheradpisheh 2018)
32.	Orientation selectivity in inhibition-dominated recurrent networks (Sadeh and Rotter, 2015)
33.	Oscillating neurons in the cochlear nucleus (Bahmer Langner 2006a, b, and 2007)
34.	Oscillations, phase-of-firing coding and STDP: an efficient learning scheme (Masquelier et al. 2009)
35.	Population models of temporal differentiation (Tripp and Eliasmith 2010)
36.	Potjans-Diesmann cortical microcircuit model in NetPyNE (Romaro et al 2021)
37.	Relative spike time coding and STDP-based orientation selectivity in V1 (Masquelier 2012)
38.	SHOT-CA3, RO-CA1 Training, & Simulation CODE in models of hippocampal replay (Nicola & Clopath 2019)
39.	Single Trial Sequence learning: a spiking neurons model based on hippocampus (Coppolino et al 2021)
40.	Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation (Luque et al 2019)
41.	Spiking neuron model of the basal ganglia (Humphries et al 2006)
42.	STDP allows fast rate-modulated coding with Poisson-like spike trains (Gilson et al. 2011)
43.	Structure-dynamics relationships in bursting neuronal networks revealed (Mäki-Marttunen et al. 2013)
44.	Supervised learning in spiking neural networks with FORCE training (Nicola & Clopath 2017)
45.	Universal feature of developing networks (Tabak et al 2010)
46.	V1 and AL spiking neural network for visual contrast response in mouse (Meijer et al. 2020)

Re-display model names with descriptions