Aine CJ, Stephen JM, Christner R, Hudson D, Best E. (2003). Task relevance enhances early transient and late slow-wave activity of distributed cortical sources. Journal of computational neuroscience. 15 [PubMed]

Craft E, Schütze H, Niebur E, von der Heydt R. (2007). A neural model of figure-ground organization. Journal of neurophysiology. 97 [PubMed]

Hu B, Niebur E. (2017). A recurrent neural model for proto-object based contour integration and figure-ground segregation. Journal of computational neuroscience. 43 [PubMed]

• NN for proto-object based contour integration and figure-ground segregation (Hu & Niebur 2017) [Model]

Schmidt M et al. (2018). A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas. PLoS computational biology. 14 [PubMed]

• Multi-area layer-resolved spiking network model of resting-state dynamics in macaque visual cortex [Model]

Shushruth S et al. (2012). Strong recurrent networks compute the orientation tuning of surround modulation in the primate primary visual cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 32 [PubMed]

• Surround Suppression in V1 via Withdraw of Balanced Local Excitation in V1 (Shushruth 2012) [Model]

Swindale NV. (2008). Feedback decoding of spatially structured population activity in cortical maps. Neural computation. 20 [PubMed]

Thielscher A, Neumann H. (2007). A computational model to link psychophysics and cortical cell activation patterns in human texture processing. Journal of computational neuroscience. 22 [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]