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• Reliability of spike timing is a general property of spiking model neurons (Brette & Guigon 2003) [Model]

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• Pyramidal Neuron: Deep, Thalamic Relay and Reticular, Interneuron (Destexhe et al 1998, 2001) [Model]

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• Fluctuating synaptic conductances recreate in-vivo-like activity (Destexhe et al 2001) [Model]
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• Squid axon (Hodgkin, Huxley 1952) (SNNAP) [Model]
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• Squid axon (Hodgkin, Huxley 1952) (SBML, XPP, other) [Model]
• Squid axon (Hodgkin, Huxley 1952) used in (Chen et al 2010) (R language) [Model]

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• Duration-tuned neurons from the inferior colliculus of the big brown bat (Aubie et al. 2009) [Model]

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• The Virtual Mouse Brain (TVMB) (Melozzi et al. 2017) [Model]

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• Sharpness of spike initiation in neurons explained by compartmentalization (Brette 2013) [Model]

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• Networks of spiking neurons: a review of tools and strategies (Brette et al. 2007) [Model]
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• Voltage-based STDP synapse (Clopath et al. 2010) [Model]

Clopath C, Ziegler L, Vasilaki E, Büsing L, Gerstner W. (2008). Tag-trigger-consolidation: a model of early and late long-term-potentiation and depression. PLoS computational biology. 4 [PubMed]

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• Memory savings through unified pre- and postsynaptic STDP (Costa et al 2015) [Model]

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• In vivo imaging of dentate gyrus mossy cells in behaving mice (Danielson et al 2017) [Model]

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• Asynchronous irregular and up/down states in excitatory and inhibitory NNs (Destexhe 2009) [Model]

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• Modeling single neuron LFPs and extracellular potentials with LFPsim (Parasuram et al. 2016) [Model]

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• Neuronify: An Educational Simulator for Neural Circuits (Dragly et al 2017) [Model]

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• Mathematical Foundations of Neuroscience (Ermentrout and Terman 2010) [Model]

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• eLIF and mAdExp: energy-based integrate-and-fire neurons (Fardet and Levina 2020) [Model]

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• Mean-field systems and small scale neural networks (Ferguson et al. 2015) [Model]
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• Complex dynamics: reproducing Golgi cell electroresponsiveness (Geminiani et al 2018, 2019ab) [Model]

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• Spike-Timing-Based Computation in Sound Localization (Goodman and Brette 2010) [Model]

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• A detailed data-driven network model of prefrontal cortex (Hass et al 2016) [Model]

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• Realistic barrel cortical column - Matlab (Huang et al., 2022) [Model]
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• Spike Response Model simulator (Jolivet et al. 2004, 2006, 2008) [Model]

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• Spike Response Model simulator (Jolivet et al. 2004, 2006, 2008) [Model]

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• Neuron-based control mechanisms for a robotic arm and hand (Singh et al 2017) [Model]

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• Multi-timescale adaptive threshold model (Kobayashi et al 2009) (NEURON) [Model]
• Multi-timescale adaptive threshold model (Kobayashi et al 2009) [Model]

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• Response properties of neocort. neurons to temporally modulated noisy inputs (Koendgen et al. 2008) [Model]

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• L5 cortical neurons with recreated synaptic inputs in vitro correlation transfer (Linaro et al 2019) [Model]

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• Learning spatiotemporal sequences using recurrent spiking NN that discretizes time (Maes et al 2020) [Model]

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• CA1 pyramidal cells, basket cells, ripples (Malerba et al 2016) [Model]

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• Adaptive Generalized Leaky Integrate-and-Fire Model (AGLIF) (Marasco et al., 2023) [Model]

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• Extraction and classification of three cortical neuron types (Mensi et al. 2012) [Model]

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• Mean Field Equations for Two-Dimensional Integrate and Fire Models (Nicola and Campbell, 2013) [Model]

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• Dynamics in random NNs with multiple neuron subtypes (Pena et al 2018, Tomov et al 2014, 2016) [Model]

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• A threshold equation for action potential initiation (Platkiewicz & Brette 2010) [Model]

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• Efficient simulation environment for modeling large-scale cortical processing (Richert et al. 2011) [Model]

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• Numerical Integration of Izhikevich and HH model neurons (Stewart and Bair 2009) [Model]

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• FNS spiking neural simulator; LIFL neuron model, event-driven simulation (Susi et al 2021) [Model]

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• Oscillations emerging from noise-driven NNs (Tchumatchenko & Clopath 2014) [Model]

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• Brain networks simulators - a comparative study (Tikidji-Hamburyan et al 2017) [Model]

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• Dynamics in random NNs with multiple neuron subtypes (Pena et al 2018, Tomov et al 2014, 2016) [Model]

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• Emergence of Connectivity Motifs in Networks of Model Neurons (Vasilaki, Giugliano 2014) [Model]

Venkadesh S et al. (2018). Evolving Simple Models of Diverse Intrinsic Dynamics in Hippocampal Neuron Types. Frontiers in neuroinformatics. 12 [PubMed]

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• QIF method to estimate synaptic conductances (Vich et al 2017) [Model]

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• Development and Binocular Matching of Orientation Selectivity in Visual Cortex (Xu et al 2020) [Model]

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• Mesoscopic dynamics from AdEx recurrent networks (Zerlaut et al JCNS 2018) (PyNN) [Model]