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• Duration-tuned neurons from the inferior colliculus of vertebrates (Aubie et al. 2012) [Model]

Azouz R, Gray CM. (2008). Stimulus-selective spiking is driven by the relative timing of synchronous excitation and disinhibition in cat striate neurons in vivo. The European journal of neuroscience. 28 [PubMed]

Brette R et al. (2008). High-resolution intracellular recordings using a real-time computational model of the electrode. Neuron. 59 [PubMed]

• High-Res. Recordings Using a Real-Time Computational Model of the Electrode (Brette et al. 2008) [Model]

Bédard C, Béhuret S, Deleuze C, Bal T, Destexhe A. (2012). Oversampling method to extract excitatory and inhibitory conductances from single-trial membrane potential recordings. Journal of neuroscience methods. 210 [PubMed]

• Oversampling method to extract excitatory and inhibitory conductances (Bedard et al. 2012) [Model]

Carvalho TP, Buonomano DV. (2009). Differential effects of excitatory and inhibitory plasticity on synaptically driven neuronal input-output functions. Neuron. 61 [PubMed]

• Balance of excitation and inhibition (Carvalho and Buonomano 2009) [Model]

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• A simple model of neuromodulatory state-dependent synaptic plasticity (Pedrosa and Clopath, 2016) [Model]

Delgado JY, Gómez-González JF, Desai NS. (2010). Pyramidal neuron conductance state gates spike-timing-dependent plasticity. The Journal of neuroscience : the official journal of the Society for Neuroscience. 30 [PubMed]

• Pyramidal neuron conductances state and STDP (Delgado et al. 2010) [Model]

Diamond JS, Polsky A. (2011). Imperfect Space Clamp Permits Electrotonic Interactions between Inhibitory and Excitatory Synaptic Conductances, Distorting Voltage Clamp Recordings. PLoS ONE. 6(4)

• Interacting synaptic conductances during, distorting, voltage clamp (Poleg-Polsky and Diamond 2011) [Model]

Doron M, Chindemi G, Muller E, Markram H, Segev I. (2017). Timed Synaptic Inhibition Shapes NMDA Spikes, Influencing Local Dendritic Processing and Global I/O Properties of Cortical Neurons. Cell reports. 21 [PubMed]

• Shaping NMDA spikes by timed synaptic inhibition on L5PC (Doron et al. 2017) [Model]

Golomb D et al. (2017). Mechanisms underlying a thalamocortical transformation during active tactile sensation PLoS Comput Biol. 13(6)

• L4 cortical barrel NN model receiving thalamic input during whisking or touch (Gutnisky et al. 2017) [Model]

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]

Grienberger C, Milstein AD, Bittner KC, Romani S, Magee JC. (2017). Inhibitory suppression of heterogeneously tuned excitation enhances spatial coding in CA1 place cells. Nature neuroscience. 20 [PubMed]

• CA1 pyr cell: Inhibitory modulation of spatial selectivity+phase precession (Grienberger et al 2017) [Model]

Gütig R, Sompolinsky H. (2009). Time-warp-invariant neuronal processing. PLoS biology. 7 [PubMed]

• Time-warp-invariant neuronal processing (Gutig & Sompolinsky 2009) [Model]

Higley MJ, Contreras D. (2006). Balanced excitation and inhibition determine spike timing during frequency adaptation. The Journal of neuroscience : the official journal of the Society for Neuroscience. 26 [PubMed]

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]

Jolivet R, Gerstner W. (2004). Predicting spike times of a detailed conductance-based neuron model driven by stochastic spike arrival. Journal of physiology, Paris. 98 [PubMed]

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]

Keane A, Henderson JA, Gong P. (2018). Dynamical patterns underlying response properties of cortical circuits. Journal of the Royal Society, Interface. 15 [PubMed]

• Dynamical patterns underlying response properties of cortical circuits (Keane et al 2018) [Model]

Kim JK, Fiorillo CD. (2017). Theory of optimal balance predicts and explains the amplitude and decay time of synaptic inhibition. Nature communications. 8 [PubMed]

• Optimal balance predicts/explains amplitude and decay time of iPSGs (Kim & Fiorillo 2017) [Model]

Kuchibhotla KV et al. (2017). Parallel processing by cortical inhibition enables context-dependent behavior. Nature neuroscience. 20 [PubMed]

• Parallel cortical inhibition processing enables context-dependent behavior (Kuchibhotla et al. 2016) [Model]

McFarland JM, Cui Y, Butts DA. (2013). Inferring nonlinear neuronal computation based on physiologically plausible inputs. PLoS computational biology. 9 [PubMed]

• Nonlinear neuronal computation based on physiologically plausible inputs (McFarland et al. 2013) [Model]

Morozova EO et al. (2016). Contribution of synchronized GABAergic neurons to dopaminergic neuron firing and bursting. Journal of neurophysiology. 116 [PubMed]

• Excitability of DA neurons and their regulation by synaptic input (Morozova et al. 2016a, 2016b) [Model]

Rudolph M, Pospischil M, Timofeev I, Destexhe A. (2007). Inhibition determines membrane potential dynamics and controls action potential generation in awake and sleeping cat cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 27 [PubMed]

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

Tan AY, Andoni S, Priebe NJ. (2013). A spontaneous state of weakly correlated synaptic excitation and inhibition in visual cortex. Neuroscience. 247 [PubMed]

• Spontaneous weakly correlated excitation and inhibition (Tan et al. 2013) [Model]

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

Vich C, Guillamon A. (2015). Dissecting estimation of conductances in subthreshold regimes. Journal of computational neuroscience. 39 [PubMed]

• Estimation of conductance in a conductance-based model of quadratic type (Vich & Guillamon 2015) [Model]

Vogels TP, Sprekeler H, Zenke F, Clopath C, Gerstner W. (2011). Inhibitory plasticity balances excitation and inhibition in sensory pathways and memory networks. Science (New York, N.Y.). 334 [PubMed]

• Inhibitory plasticity balances excitation and inhibition (Vogels et al. 2011) [Model]

Wilmes KA, Sprekeler H, Schreiber S. (2016). Inhibition as a Binary Switch for Excitatory Plasticity in Pyramidal Neurons. PLoS computational biology. 12 [PubMed]

• Inhibition of bAPs and Ca2+ spikes in a multi-compartment pyramidal neuron model (Wilmes et al 2016) [Model]