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• Sleep-wake transitions in corticothalamic system (Bazhenov et al 2002) [Model]

Benucci A, Verschure PF, König P. (2004). Two-state membrane potential fluctuations driven by weak pairwise correlations. Neural computation. 16 [PubMed]

Blethyn KL, Hughes SW, Tóth TI, Cope DW, Crunelli V. (2006). Neuronal basis of the slow (<1 Hz) oscillation in neurons of the nucleus reticularis thalami in vitro. The Journal of neuroscience : the official journal of the Society for Neuroscience. 26 [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]

Chance FS. (2007). Receiver operating characteristic (ROC) analysis for characterizing synaptic efficacy. Journal of neurophysiology. 97 [PubMed]

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]

Desai NS, Walcott EC. (2006). Synaptic bombardment modulates muscarinic effects in forelimb motor cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 26 [PubMed]

Destexhe A. (2009). Self-sustained asynchronous irregular states and Up-Down states in thalamic, cortical and thalamocortical networks of nonlinear integrate-and-fire neurons. Journal of computational neuroscience. 27 [PubMed]

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

Destexhe A, Rudolph M. (2004). Extracting information from the power spectrum of synaptic noise. Journal of computational neuroscience. 17 [PubMed]

Destexhe A, Rudolph M, Paré D. (2003). The high-conductance state of neocortical neurons in vivo. Nature reviews. Neuroscience. 4 [PubMed]

Destexhe A, Sejnowski TJ. (2003). Interactions between membrane conductances underlying thalamocortical slow-wave oscillations. Physiological reviews. 83 [PubMed]

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• Irregular spiking in NMDA-driven prefrontal cortex neurons (Durstewitz and Gabriel 2006) [Model]

Esser SK, Hill SL, Tononi G. (2007). Sleep homeostasis and cortical synchronization: I. Modeling the effects of synaptic strength on sleep slow waves. Sleep. 30 [PubMed]

Fröhlich F, Bazhenov M, Timofeev I, Steriade M, Sejnowski TJ. (2006). Slow state transitions of sustained neural oscillations by activity-dependent modulation of intrinsic excitability. The Journal of neuroscience : the official journal of the Society for Neuroscience. 26 [PubMed]

Humphries MD, Stewart RD, Gurney KN. (2006). A physiologically plausible model of action selection and oscillatory activity in the basal ganglia. The Journal of neuroscience : the official journal of the Society for Neuroscience. 26 [PubMed]

• Spiking neuron model of the basal ganglia (Humphries et al 2006) [Model]

Hutt A, Mierau A, Lefebvre J. (2016). Dynamic Control of Synchronous Activity in Networks of Spiking Neurons. PloS one. 11 [PubMed]

• Stochastic and periodic inputs tune ongoing oscillations (Hutt et al. 2016) [Model]

Häusser M, Mel B. (2003). Dendrites: bug or feature? Current opinion in neurobiology. 13 [PubMed]

Jercog D et al. (2017). UP-DOWN cortical dynamics reflect state transitions in a bistable network. eLife. 6 [PubMed]

• Models for cortical UP-DOWN states in a bistable inhibitory-stabilized network (Jercog et al 2017) [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]

Karameh FN, Dahleh MA, Brown EN, Massaquoi SG. (2006). Modeling the contribution of lamina 5 neuronal and network dynamics to low frequency EEG phenomena. Biological cybernetics. 95 [PubMed]

Kepecs A, Raghavachari S. (2007). Gating information by two-state membrane potential fluctuations. Journal of neurophysiology. 97 [PubMed]

Komarov M et al. (2018). New class of reduced computationally efficient neuronal models for large-scale simulations of brain dynamics. Journal of computational neuroscience. 44 [PubMed]

Krishnan GP et al. (2016). Cellular and neurochemical basis of sleep stages in the thalamocortical network. eLife. 5 [PubMed]

• Thalamocortical sleep model (Krishnan et al., 2016) [Model]

Munro E, Kopell N. (2012). Subthreshold somatic voltage in neocortical pyramidal cells can control whether spikes propagate from the axonal plexus to axon terminals: a model study. Journal of neurophysiology. 107 [PubMed]

• Neocort. pyramidal cells subthreshold somatic voltage controls spike propagation (Munro Kopell 2012) [Model]

Okamoto H, Isomura Y, Takada M, Fukai T. (2007). Temporal integration by stochastic recurrent network dynamics with bimodal neurons. Journal of neurophysiology. 97 [PubMed]

• Temporal integration by stochastic recurrent network (Okamoto et al. 2007) [Model]

Ozer M, Graham LJ, Erkaymaz O, Uzuntarla M. (2007). Impact of synaptic noise and conductance state on spontaneous cortical firing. Neuroreport. 18 [PubMed]

Pena RFO, Zaks MA, Roque AC. (2018). Dynamics of spontaneous activity in random networks with multiple neuron subtypes and synaptic noise : Spontaneous activity in networks with synaptic noise. Journal of computational neuroscience. 45 [PubMed]

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

Pospischil M, Piwkowska Z, Bal T, Destexhe A. (2009). Extracting synaptic conductances from single membrane potential traces. Neuroscience. 158 [PubMed]

• Python demo of the VmT method to extract conductances from single Vm traces (Pospischil et al. 2009) [Model]

Rudolph M, Destexhe A. (2001). Do neocortical pyramidal neurons display stochastic resonance? Journal of computational neuroscience. 11 [PubMed]

Rudolph M, Destexhe A. (2003). The discharge variability of neocortical neurons during high-conductance states. Neuroscience. 119 [PubMed]

Rudolph M, Destexhe A. (2003). A fast-conducting, stochastic integrative mode for neocortical neurons in vivo. The Journal of neuroscience : the official journal of the Society for Neuroscience. 23 [PubMed]

Rudolph M, Destexhe A. (2003). Characterization of subthreshold voltage fluctuations in neuronal membranes. Neural computation. 15 [PubMed]

Rudolph M, Destexhe A. (2004). Inferring network activity from synaptic noise. Journal of physiology, Paris. 98 [PubMed]

Rudolph M, Destexhe A. (2006). Analytical integrate-and-fire neuron models with conductance-based dynamics for event-driven simulation strategies. Neural computation. 18 [PubMed]

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]

Rulkov NF, Timofeev I, Bazhenov M. (2004). Oscillations in large-scale cortical networks: map-based model. Journal of computational neuroscience. 17 [PubMed]

• Large cortex model with map-based neurons (Rulkov et al 2004) [Model]

Shu Y, Duque A, Yu Y, Haider B, McCormick DA. (2007). Properties of action-potential initiation in neocortical pyramidal cells: evidence from whole cell axon recordings. Journal of neurophysiology. 97 [PubMed]

• Intracortical synaptic potential modulation by presynaptic somatic potential (Shu et al. 2006, 2007) [Model]

Shu Y, Hasenstaub A, Duque A, Yu Y, McCormick DA. (2006). Modulation of intracortical synaptic potentials by presynaptic somatic membrane potential. Nature. 441 [PubMed]

• Intracortical synaptic potential modulation by presynaptic somatic potential (Shu et al. 2006, 2007) [Model]

Sussillo D, Toyoizumi T, Maass W. (2007). Self-tuning of neural circuits through short-term synaptic plasticity. Journal of neurophysiology. 97 [PubMed]

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

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

Traub RD, Buhl EH, Gloveli T, Whittington MA. (2003). Fast rhythmic bursting can be induced in layer 2/3 cortical neurons by enhancing persistent Na+ conductance or by blocking BK channels. Journal of neurophysiology. 89 [PubMed]

• Mechanisms of fast rhythmic bursting in a layer 2/3 cortical neuron (Traub et al 2003) [Model]

Weigenand A, Schellenberger Costa M, Ngo HV, Claussen JC, Martinetz T. (2014). Characterization of K-complexes and slow wave activity in a neural mass model. PLoS computational biology. 10 [PubMed]

• Neural mass model of the sleeping cortex (Weigenand et al 2014) [Model]
• Neural mass model of spindle generation in the isolated thalamus (Schellenberger Costa et al. 2016) [Model]
• Neural mass model of the sleeping thalamocortical system (Schellenberger Costa et al 2016) [Model]
• Neural mass model of the neocortex under sleep regulation (Costa et al 2016) [Model]

Williams SR, Stuart GJ. (2003). Role of dendritic synapse location in the control of action potential output. Trends in neurosciences. 26 [PubMed]

Williams SR, Stuart GJ. (2003). Voltage- and site-dependent control of the somatic impact of dendritic IPSPs. The Journal of neuroscience : the official journal of the Society for Neuroscience. 23 [PubMed]

Wilson MT et al. (2006). The K-complex and slow oscillation in terms of a mean-field cortical model. Journal of computational neuroscience. 21 [PubMed]

Zerlaut Y, Chemla S, Chavane F, Destexhe A. (2018). Modeling mesoscopic cortical dynamics using a mean-field model of conductance-based networks of adaptive exponential integrate-and-fire neurons. Journal of computational neuroscience. 44 [PubMed]

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

van Drongelen W et al. (2006). Role of persistent sodium current in bursting activity of mouse neocortical networks in vitro. Journal of neurophysiology. 96 [PubMed]