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• Visual Cortex Neurons: Dendritic computations (Archie, Mel 2000) [Model]

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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]

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Brecht M, Sakmann B. (2002). Dynamic representation of whisker deflection by synaptic potentials in spiny stellate and pyramidal cells in the barrels and septa of layer 4 rat somatosensory cortex. The Journal of physiology. 543 [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]

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

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Delorme A. (2003). Early Cortical Orientation Selectivity: How Fast Inhibition Decodes the Order of Spike Latencies Journal of computational neuroscience. 15 [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. (2005). Extracting information from the power spectrum of voltage noise Neurocomputing. 65

Destexhe A, Rudolph M, Fellous JM, Sejnowski TJ. (2001). Fluctuating synaptic conductances recreate in vivo-like activity in neocortical neurons. Neuroscience. 107 [PubMed]

• Fluctuating synaptic conductances recreate in-vivo-like activity (Destexhe et al 2001) [Model]
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• Interacting synaptic conductances during, distorting, voltage clamp (Poleg-Polsky and Diamond 2011) [Model]

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Gabbiani F, Cohen I, Laurent G. (2005). Time-dependent activation of feed-forward inhibition in a looming-sensitive neuron. Journal of neurophysiology. 94 [PubMed]

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• Information-processing in lamina-specific cortical microcircuits (Haeusler and Maass 2006) [Model]

Hansel D, van Vreeswijk C. (2002). How noise contributes to contrast invariance of orientation tuning in cat visual cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 22 [PubMed]

Hansen T, Neumann H. (2004). Neural mechanisms for the robust representation of junctions. Neural computation. 16 [PubMed]

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• Spatial summation of excitatory and inhibitory inputs in pyramidal neurons (Hao et al. 2010) [Model]

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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]

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Legenstein R, Pecevski D, Maass W. (2008). A learning theory for reward-modulated spike-timing-dependent plasticity with application to biofeedback. PLoS computational biology. 4 [PubMed]

• Reward modulated STDP (Legenstein et al. 2008) [Model]

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London M, Segev I. (2001). Synaptic scaling in vitro and in vivo. Nature neuroscience. 4 [PubMed]

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• Computational aspects of feedback in neural circuits (Maass et al 2006) [Model]

Magee JC, Cook EP. (2001). Synaptic scaling in vitro and in vivo - Reply Nature Neuroscience. 4

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Mo CH, Koch C. (2003). Modeling reverse-phi motion-selective neurons in cortex: double synaptic-veto mechanism. Neural computation. 15 [PubMed]

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

Prescott SA, Sejnowski TJ, De Koninck Y. (2006). Reduction of anion reversal potential subverts the inhibitory control of firing rate in spinal lamina I neurons: towards a biophysical basis for neuropathic pain. Molecular pain. 2 [PubMed]

Rangan AV, Cai D. (2007). Fast numerical methods for simulating large-scale integrate-and-fire neuronal networks. Journal of computational neuroscience. 22 [PubMed]

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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, Pelletier JG, Pare D, Destexhe A. (2004). Estimation of synaptic conductances and their variances from intracellular recordings of neocortical neurons in vivo Neurocomputing. 58

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]

Segev I, London M. (2000). Untangling dendrites with quantitative models. Science (New York, N.Y.). 290 [PubMed]

Sejnowski TJ, Destexhe A. (2000). Why do we sleep? Brain research. 886 [PubMed]

Shelley M, McLaughlin D. (2002). Coarse-grained reduction and analysis of a network model of cortical response: I. Drifting grating stimuli. Journal of computational neuroscience. 12 [PubMed]

Shelley M, McLaughlin D, Shapley R, Wielaard J. (2002). States of high conductance in a large-scale model of the visual cortex. Journal of computational neuroscience. 13 [PubMed]

Tucker TR, Katz LC. (2003). Recruitment of local inhibitory networks by horizontal connections in layer 2/3 of ferret visual cortex. Journal of neurophysiology. 89 [PubMed]

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Winograd M, Destexhe A, Sanchez-Vives MV. (2008). Hyperpolarization-activated graded persistent activity in the prefrontal cortex. Proceedings of the National Academy of Sciences of the United States of America. 105 [PubMed]

• Hodgkin-Huxley model of persistent activity in prefrontal cortex neurons (Winograd et al. 2008) [Model]
• Hodgkin-Huxley model of persistent activity in PFC neurons (Winograd et al. 2008) (NEURON python) [Model]

van Ooyen A, Duijnhouwer J, Remme MW, van Pelt J. (2002). The effect of dendritic topology on firing patterns in model neurons. Network (Bristol, England). 13 [PubMed]