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• Input Fluctuations effects on f-I curves (Arsiero et al. 2007) [Model]

Badel L et al. (2008). Dynamic I-V curves are reliable predictors of naturalistic pyramidal-neuron voltage traces. Journal of neurophysiology. 99 [PubMed]

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Brette R. (2013). Sharpness of spike initiation in neurons explained by compartmentalization. PLoS computational biology. 9 [PubMed]

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

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• Adaptive exponential integrate-and-fire model (Brette & Gerstner 2005) [Model]

Brunel N, Hansel D. (2006). How noise affects the synchronization properties of recurrent networks of inhibitory neurons. Neural computation. 18 [PubMed]

Buchin A, Rieubland S, Häusser M, Gutkin BS, Roth A. (2016). Inverse Stochastic Resonance in Cerebellar Purkinje Cells. PLoS computational biology. 12 [PubMed]

• Inverse stochastic resonance of cerebellar Purkinje cell (Buchin et al. 2016) [Model]

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• Mean-field models of neural populations under electrical stimulation (Cakan & Obermayer 2020) [Model]

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

Geisler C, Brunel N, Wang XJ. (2005). Contributions of intrinsic membrane dynamics to fast network oscillations with irregular neuronal discharges. Journal of neurophysiology. 94 [PubMed]

Goodman DF, Brette R. (2010). Spike-timing-based computation in sound localization. PLoS computational biology. 6 [PubMed]

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

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• Response to correlated synaptic input for HH/IF point neuron vs with dendrite (Górski et al 2018) [Model]

Hong S, Ratté S, Prescott SA, De Schutter E. (2012). Single neuron firing properties impact correlation-based population coding. The Journal of neuroscience : the official journal of the Society for Neuroscience. 32 [PubMed]

• A model for how correlation depends on the neuronal excitability type (Hong et al. 2012) [Model]

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

Jolivet R, Lewis TJ, Gerstner W. (2004). Generalized integrate-and-fire models of neuronal activity approximate spike trains of a detailed model to a high degree of accuracy. Journal of neurophysiology. 92 [PubMed]

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

Jolivet R, Rauch A, Lüscher HR, Gerstner W. (2006). Predicting spike timing of neocortical pyramidal neurons by simple threshold models. Journal of computational neuroscience. 21 [PubMed]

• Spike Response Model simulator (Jolivet et al. 2004, 2006, 2008) [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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• Theory and simulation of integrate-and-fire neurons driven by shot noise (Droste & Lindner 2017) [Model]

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Mensi S et al. (2012). Parameter extraction and classification of three cortical neuron types reveals two distinct adaptation mechanisms. Journal of neurophysiology. 107 [PubMed]

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

Naundorf B, Geisel T, Wolf F. (2005). Action potential onset dynamics and the response speed of neuronal populations. Journal of computational neuroscience. 18 [PubMed]

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• An attractor network model of grid cells and theta-nested gamma oscillations (Pastoll et al 2013) [Model]

Platkiewicz J, Brette R. (2010). A threshold equation for action potential initiation. PLoS computational biology. 6 [PubMed]

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

Platkiewicz J, Brette R. (2011). Impact of fast sodium channel inactivation on spike threshold dynamics and synaptic integration. PLoS computational biology. 7 [PubMed]

• Impact of fast Na channel inact. on AP threshold & synaptic integration (Platkiewicz & Brette 2011) [Model]

Pospischil M, Piwkowska Z, Rudolph M, Bal T, Destexhe A. (2007). Calculating event-triggered average synaptic conductances from the membrane potential. Journal of neurophysiology. 97 [PubMed]

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

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• Pyramidal neurons switch from integrators to resonators (Prescott et al. 2008) [Model]

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Rangan AV, Cai D, McLaughlin DW. (2005). Modeling the spatiotemporal cortical activity associated with the line-motion illusion in primary visual cortex. Proceedings of the National Academy of Sciences of the United States of America. 102 [PubMed]

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• Noise promotes independent control of gamma oscillations and grid firing (Solanka et al 2015) [Model]

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• Principles of Computational Modelling in Neuroscience (Book) (Sterratt 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]

Tonnelier A, Belmabrouk H, Martinez D. (2007). Event-driven simulations of nonlinear integrate-and-fire neurons. Neural computation. 19 [PubMed]

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• Brette-Gerstner model (Touboul and Brette 2008) [Model]

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• Population models of temporal differentiation (Tripp and Eliasmith 2010) [Model]

Troyer TW. (2006). Factors affecting phase synchronization in integrate-and-fire oscillators. Journal of computational neuroscience. 20 [PubMed]

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• Resurgent Na+ current offers noise modulation in bursting neurons (Venugopal et al 2019) [Model]

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

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• MCCAIS model (multicompartmental cooperative AIS) (Öz et al 2015) [Model]