Cakan C, Obermayer K. (2020). PLoS computational biology. 16 [PubMed]

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

Cavallari S, Panzeri S, Mazzoni A. (2014). Comparison of the dynamics of neural interactions between current-based and conductance-based integrate-and-fire recurrent networks. Frontiers in neural circuits. 8 [PubMed]

• I&F recurrent networks with current- or conductance-based synapses (Cavallari et al. 2014) [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]

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]

Huang C, Zeldenrust F, Celikel T. (2022). Cortical Representation of Touch in Silico Neuroinformatics. 20 [PubMed]

• Realistic barrel cortical column - Matlab (Huang et al., 2022) [Model]
• Realistic barrel cortical column - NetPyNE (Huang et al., 2022) [Model]

Johansson C, Lansner A. (2007). Towards cortex sized artificial neural systems. Neural networks : the official journal of the International Neural Network Society. 20 [PubMed]

Johansson C, Lansner A. (2007). Imposing biological constraints onto an abstract neocortical attractor network model. Neural computation. 19 [PubMed]

Kitano K, Fukai T. (2007). Variability v.s. synchronicity of neuronal activity in local cortical network models with different wiring topologies. Journal of computational neuroscience. 23 [PubMed]

Lee CC, Anton M, Poon CS, McRae GJ. (2009). A kinetic model unifying presynaptic short-term facilitation and depression. Journal of computational neuroscience. 26 [PubMed]

• A kinetic model unifying presynaptic short-term facilitation and depression (Lee et al. 2009) [Model]

London M, Roth A, Beeren L, Häusser M, Latham PE. (2010). Sensitivity to perturbations in vivo implies high noise and suggests rate coding in cortex. Nature. 466 [PubMed]

• Perturbation sensitivity implies high noise and suggests rate coding in cortex (London et al. 2010) [Model]

Lundqvist M, Rehn M, Djurfeldt M, Lansner A. (2006). Attractor dynamics in a modular network model of neocortex. Network (Bristol, England). 17 [PubMed]

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

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

Pouille F, McTavish TS, Hunter LE, Restrepo D, Schoppa NE. (2017). Intraglomerular gap junctions enhance interglomerular synchrony in a sparsely connected olfactory bulb network. The Journal of physiology. 595 [PubMed]

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]

Reimann MW, King JG, Muller EB, Ramaswamy S, Markram H. (2015). An algorithm to predict the connectome of neural microcircuits. Frontiers in computational neuroscience. 9 [PubMed]

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

Smolen P. (2015). Modeling maintenance of long-term potentiation in clustered synapses: long-term memory without bistability. Neural plasticity. 2015 [PubMed]

• Modeling maintenance of Long-Term Potentiation in clustered synapses (Smolen 2015) [Model]

Sweeney Y, Hellgren Kotaleski J, Hennig MH. (2015). A Diffusive Homeostatic Signal Maintains Neural Heterogeneity and Responsiveness in Cortical Networks. PLoS computational biology. 11 [PubMed]

• Diffusive homeostasis in a spiking network model (Sweeney et al. 2015) [Model]

Teramae JN, Fukai T. (2007). Local cortical circuit model inferred from power-law distributed neuronal avalanches. Journal of computational neuroscience. 22 [PubMed]

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]

van Ooyen A et al. (2014). Independently outgrowing neurons and geometry-based synapse formation produce networks with realistic synaptic connectivity. PloS one. 9 [PubMed]

• NETMORPH: creates NNs with realistic neuron morphologies (Koene et al. 2009, van Ooyen et al. 2014) [Model]