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• Visual physiology of the layer 4 cortical circuit in silico (Arkhipov et al 2018) [Model]

Carracedo LM et al. (2013). A neocortical delta rhythm facilitates reciprocal interlaminar interactions via nested theta rhythms. The Journal of neuroscience : the official journal of the Society for Neuroscience. 33 [PubMed]

• Dynamic cortical interlaminar interactions (Carracedo et al. 2013) [Model]
• Electrodecrements in in vitro model of infantile spasms (Traub et al 2020) [Model]

Chadderdon GL et al. (2014). Motor cortex microcircuit simulation based on brain activity mapping. Neural computation. 26 [PubMed]

• Motor cortex microcircuit simulation based on brain activity mapping (Chadderdon et al. 2014) [Model]

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• Voltage-based STDP synapse (Clopath et al. 2010) [Model]

Domanski APF, Booker SA, Wyllie DJA, Isaac JTR, Kind PC. (2019). Cellular and synaptic phenotypes lead to disrupted information processing in Fmr1-KO mouse layer 4 barrel cortex. Nature communications. 10 [PubMed]

• Disrupted information processing in Fmr1-KO mouse layer 4 barrel cortex (Domanski et al 2019) [Model]

Dura-Bernal S et al. (2023). Data-driven multiscale model of macaque auditory thalamocortical circuits reproduces in vivo dynamics. Cell reports. 42 [PubMed]

• Data-driven multiscale model of macaque auditory thalamocortical circuits reproduces in vivo dynamics (Dura-Bernal et al., 2023) [Model]

Egger R et al. (2020). Cortical Output Is Gated by Horizontally Projecting Neurons in the Deep Layers Neuron. 105

• Sensory-evoked responses of L5 pyramidal tract neurons (Egger et al 2020) [Model]

Esposito U, Giugliano M, van Rossum M, Vasilaki E. (2014). Measuring symmetry, asymmetry and randomness in neural network connectivity. PloS one. 9 [PubMed]

• Statistics of symmetry measure for networks of neurons (Esposito et al. 2014) [Model]

Gal E et al. (2017). Rich cell-type-specific network topology in neocortical microcircuitry. Nature neuroscience. 20 [PubMed]

• The neocortical microcircuit collaboration portal (Markram et al. 2015) [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]

Hall S et al. (2015). Unbalanced Peptidergic Inhibition in Superficial Neocortex Underlies Spike and Wave Seizure Activity. The Journal of neuroscience : the official journal of the Society for Neuroscience. 35 [PubMed]

• Unbalanced peptidergic inhibition in superficial cortex underlies seizure activity (Hall et al 2015) [Model]
• Electrodecrements in in vitro model of infantile spasms (Traub et al 2020) [Model]

Hall SP et al. (2018). Enhanced interlaminar excitation or reduced superficial layer inhibition in neocortex generates different spike-and-wave-like electrographic events in vitro. Journal of neurophysiology. 119 [PubMed]

• The origin of different spike and wave-like events (Hall et al 2017) [Model]

Hass J, Hertäg L, Durstewitz D. (2016). A Detailed Data-Driven Network Model of Prefrontal Cortex Reproduces Key Features of In Vivo Activity. PLoS computational biology. 12 [PubMed]

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

Hazan L, Ziv NE. (2020). Activity dependent and independent determinants of synaptic size diversity. The Journal of neuroscience : the official journal of the Society for Neuroscience. 40 [PubMed]

• Kesten and Langevin synaptic size fluctuation simulator (Hazan & Ziv 2020) [Model]
• Mesoscopic model of spontaneous synaptic size fluctuations (Hazan & Ziv 2020) [Model]

Hooks BM et al. (2011). Laminar analysis of excitatory local circuits in vibrissal motor and sensory cortical areas. PLoS biology. 9 [PubMed]

• Laminar analysis of excitatory circuits in vibrissal motor and sensory cortex (Hooks et al. 2011) [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]

Kerr CC et al. (2012). Electrostimulation as a prosthesis for repair of information flow in a computer model of neocortex. IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. 20 [PubMed]

• Prosthetic electrostimulation for information flow repair in a neocortical simulation (Kerr 2012) [Model]

Kerr CC et al. (2013). Cortical information flow in Parkinson's disease: a composite network/field model. Frontiers in computational neuroscience. 7 [PubMed]

• Composite spiking network/neural field model of Parkinsons (Kerr et al 2013) [Model]

Kremer Y, Léger JF, Goodman D, Brette R, Bourdieu L. (2011). Late emergence of the vibrissa direction selectivity map in the rat barrel cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 31 [PubMed]

• Late emergence of the whisker direction selectivity map in rat barrel cortex (Kremer et al. 2011) [Model]

Lindner B, Droste F. (2017). Exact analytical results for integrate-and-fire neurons driven by excitatory shot noise J. Comp. Neurosci..

• Theory and simulation of integrate-and-fire neurons driven by shot noise (Droste & Lindner 2017) [Model]

Markram H et al. (2015). Reconstruction and Simulation of Neocortical Microcircuitry. Cell. 163 [PubMed]

• The neocortical microcircuit collaboration portal (Markram et al. 2015) [Model]

Neymotin SA, Dura-Bernal S, Lakatos P, Sanger TD, Lytton WW. (2016). Multitarget Multiscale Simulation for Pharmacological Treatment of Dystonia in Motor Cortex. Frontiers in pharmacology. 7 [PubMed]

• Multitarget pharmacology for Dystonia in M1 (Neymotin et al 2016) [Model]

Neymotin SA, Lee H, Park E, Fenton AA, Lytton WW. (2011). Emergence of physiological oscillation frequencies in a computer model of neocortex. Frontiers in computational neuroscience. 5 [PubMed]

• Emergence of physiological oscillation frequencies in neocortex simulations (Neymotin et al. 2011) [Model]

Polsky A, Mel B, Schiller J. (2009). Encoding and decoding bursts by NMDA spikes in basal dendrites of layer 5 pyramidal neurons. The Journal of neuroscience : the official journal of the Society for Neuroscience. 29 [PubMed]

• NMDA spikes in basal dendrites of L5 pyramidal neurons (Polsky et al. 2009) [Model]

Potjans TC, Diesmann M. (2014). The cell-type specific cortical microcircuit: relating structure and activity in a full-scale spiking network model. Cerebral cortex (New York, N.Y. : 1991). 24 [PubMed]

• A full-scale cortical microcircuit spiking network model (Shimoura et al 2018) [Model]

Reimann MW, Horlemann AL, Ramaswamy S, Muller EB, Markram H. (2017). Morphological Diversity Strongly Constrains Synaptic Connectivity and Plasticity. Cerebral cortex (New York, N.Y. : 1991). 27 [PubMed]

• The neocortical microcircuit collaboration portal (Markram et al. 2015) [Model]

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• Synaptic scaling balances learning in a spiking model of neocortex (Rowan & Neymotin 2013) [Model]

Rowan MS, Neymotin SA, Lytton WW. (2014). Electrostimulation to reduce synaptic scaling driven progression of Alzheimer's disease. Frontiers in computational neuroscience. 8 [PubMed]

• Electrostimulation to reduce synaptic scaling driven progression of Alzheimers (Rowan et al. 2014) [Model]

Tomm C, Avermann M, Petersen C, Gerstner W, Vogels TP. (2014). Connection-type-specific biases make uniform random network models consistent with cortical recordings. Journal of neurophysiology. 112 [PubMed]