| 1 |
A biophysical model of vestibular ganglion neurons (Hight & Kalluri 2016, Ventura & Kalluri 2018) |
| 2 |
A full-scale cortical microcircuit spiking network model (Shimoura et al 2018) |
| 3 |
A sensorimotor-spinal cord model (Hoshino et al. 2022) |
| 4 |
A spiking neural network model of model-free reinforcement learning (Nakano et al 2015) |
| 5 |
A spiking NN for amplification of feature-selectivity with specific connectivity (Sadeh et al 2015) |
| 6 |
A state-space model to quantify common input to motor neurons (Feeney et al 2017) |
| 7 |
Active dendritic integration in robust and precise grid cell firing (Schmidt-Hieber et al 2017) |
| 8 |
AGLIF (Marasco et al., 2023) |
| 9 |
Biophysical model for field potentials of networks of I&F neurons (beim Graben & Serafim 2013) |
| 10 |
Code to calc. spike-trig. ave (STA) conduct. from Vm (Pospischil et al. 2007, Rudolph et al. 2007) |
| 11 |
Complex dynamics: reproducing Golgi cell electroresponsiveness (Geminiani et al 2018, 2019ab) |
| 12 |
Dentate Gyrus model including Granule cells with dendritic compartments (Chavlis et al 2017) |
| 13 |
Diffusive homeostasis in a spiking network model (Sweeney et al. 2015) |
| 14 |
Disrupted information processing in Fmr1-KO mouse layer 4 barrel cortex (Domanski et al 2019) |
| 15 |
Double boundary value problem (A. Bose and J.E. Rubin, 2015) |
| 16 |
Dynamical patterns underlying response properties of cortical circuits (Keane et al 2018) |
| 17 |
E-I balance modulates formation and dynamics of neuronal assemblies (Sadeh and Clopath, 2021) |
| 18 |
Effects of the membrane AHP on the Lateral Superior Olive (LSO) (Zhou & Colburn 2010) |
| 19 |
eLIF and mAdExp: energy-based integrate-and-fire neurons (Fardet and Levina 2020) |
| 20 |
Emergence of spatiotemporal sequences in spiking neuronal networks (Spreizer et al 2019) |
| 21 |
Excitatory and inhibitory population activity (Bittner et al 2017) (Litwin-Kumar & Doiron 2017) |
| 22 |
Explainable AI for spatial navigation based on hippocampal circuitry (Coppolino + Migliore 2023) |
| 23 |
Feedforward network undergoing Up-state-mediated plasticity (Gonzalez-Rueda et al. 2018) |
| 24 |
Functional balanced networks with synaptic plasticity (Sadeh et al, 2015) |
| 25 |
Gap junction plasticity as a mechanism to regulate network-wide oscillations (Pernelle et al 2018) |
| 26 |
Generalized Carnevale-Hines algorithm (van Elburg and van Ooyen 2009) |
| 27 |
Grid cell oscillatory interference with noisy network oscillators (Zilli and Hasselmo 2010) |
| 28 |
Grid cell spatial firing models (Zilli 2012) |
| 29 |
Hierarchical network model of perceptual decision making (Wimmer et al 2015) |
| 30 |
Hippocampal spiking model for context dependent behavior (Raudies & Hasselmo 2014) |
| 31 |
I&F recurrent networks with current- or conductance-based synapses (Cavallari et al. 2014) |
| 32 |
Inhibition perturbations reveals dynamical structure of neural processing (Sadeh & Clopath 2020) |
| 33 |
Inhibitory cells enable sparse coding in V1 model (King et al. 2013) |
| 34 |
Inhibitory microcircuits for top-down plasticity of sensory representations (Wilmes & Clopath 2019) |
| 35 |
Inverse stochastic resonance of cerebellar Purkinje cell (Buchin et al. 2016) |
| 36 |
Leaky Integrate and Fire Neuron Model of Context Integration (Calvin, Redish 2021) |
| 37 |
Leaky integrate-and-fire model of spike frequency adaptation in the LGMD (Gabbiani and Krapp 2006) |
| 38 |
Learning spatiotemporal sequences using recurrent spiking NN that discretizes time (Maes et al 2020) |
| 39 |
MDD: the role of glutamate dysfunction on Cingulo-Frontal NN dynamics (Ramirez-Mahaluf et al 2017) |
| 40 |
Mean-field models of neural populations under electrical stimulation (Cakan & Obermayer 2020) |
