SenseLab

Computational model (s) having NEST as Simulator software


 
Name
1 A spatial model of the intermediate superior colliculus (Moren et. al. 2013)
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 AGLIF (Marasco et al., 2023)
5 An electrophysiological model of GABAergic double bouquet cells (Chrysanthidis et al. 2019)
6 Brain networks simulators - a comparative study (Tikidji-Hamburyan et al 2017)
7 Complex dynamics: reproducing Golgi cell electroresponsiveness (Geminiani et al 2018, 2019ab)
8 Cortical feedback alters visual response properties of dLGN relay cells (Martínez-Cañada et al 2018)
9 eLIF and mAdExp: energy-based integrate-and-fire neurons (Fardet and Levina 2020)
10 Emergence of spatiotemporal sequences in spiking neuronal networks (Spreizer et al 2019)
11 GLMCC validation neural network model (Kobayashi et al. 2019)
12 Growth Rules for Repair of Asynch Irregular Networks after Peripheral Lesions (Sinha et al 2021)
13 Multi-area layer-resolved spiking network model of resting-state dynamics in macaque visual cortex
14 Networks of spiking neurons: a review of tools and strategies (Brette et al. 2007)
15 Neuromorphic muscle spindle model (Vannucci et al 2017)
16 On the structural connectivity of large-scale models of brain networks (Giacopelli et al 2021)
17 Orientation selectivity in inhibition-dominated recurrent networks (Sadeh and Rotter, 2015)
18 Sparsely connected networks of spiking neurons (Brunel 2000)
19 Structure-dynamics relationships in bursting neuronal networks revealed (Mäki-Marttunen et al. 2013)