A spiking neural network model of model-free reinforcement learning (Nakano et al 2015)

A full-scale cortical microcircuit spiking network model (Shimoura et al 2018)

Optimal Localist and Distributed Coding Through STDP (Masquelier & Kheradpisheh 2018)

Emergence of spatiotemporal sequences in spiking neuronal networks (Spreizer et al 2019)

Sequence learning via biophysically realistic learning rules (Cone and Shouval 2021)

Perfect Integrate and fire with noisy adaptation or fractional noise (Richard et al 2018)

STDP allows fast rate-modulated coding with Poisson-like spike trains (Gilson et al. 2011)

Hierarchical network model of perceptual decision making (Wimmer et al 2015)

Biophysical model for field potentials of networks of I&F neurons (beim Graben & Serafim 2013)

Functional balanced networks with synaptic plasticity (Sadeh et al, 2015)

Oscillations, phase-of-firing coding and STDP: an efficient learning scheme (Masquelier et al. 2009)

I&F recurrent networks with current- or conductance-based synapses (Cavallari et al. 2014)

Minimal model of interictal and ictal discharges “Epileptor-2” (Chizhov et al 2018)

Networks of spiking neurons: a review of tools and strategies (Brette et al. 2007)

Diffusive homeostasis in a spiking network model (Sweeney et al. 2015)

E-I balance modulates formation and dynamics of neuronal assemblies (Sadeh and Clopath, 2021)

On the structural connectivity of large-scale models of brain networks (Giacopelli et al 2021)

V1 and AL spiking neural network for visual contrast response in mouse (Meijer et al. 2020)

Excitatory and inhibitory population activity (Bittner et al 2017) (Litwin-Kumar & Doiron 2017)

Models for cortical UP-DOWN states in a bistable inhibitory-stabilized network (Jercog et al 2017)