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

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

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

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

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

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

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

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)

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

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

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)

A spiking NN for amplification of feature-selectivity with specific connectivity (Sadeh et al 2015)

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

Leaky Integrate and Fire Neuron Model of Context Integration (Calvin, Redish 2021)

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

Code to calc. spike-trig. ave (STA) conduct. from Vm (Pospischil et al. 2007, Rudolph et al. 2007)

Explainable AI for spatial navigation based on hippocampal circuitry (Coppolino + Migliore 2023)