Craft E, Schütze H, Niebur E, von der Heydt R. (2007). A neural model of figure-ground organization. Journal of neurophysiology. 97 [PubMed]
Domijan D. (2004). Recurrent network with large representational capacity. Neural computation. 16 [PubMed]
Hansen T, Neumann H. (2004). Neural mechanisms for the robust representation of junctions. Neural computation. 16 [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]
Keil MS. (2006). Smooth gradient representations as a unifying account of Chevreul's illusion, Mach bands, and a variant of the Ehrenstein disk. Neural computation. 18 [PubMed]
Neri P, Levi DM. (2007). Temporal dynamics of figure-ground segregation in human vision. Journal of neurophysiology. 97 [PubMed]
Olshausen BA, Field DJ. (2005). How close are we to understanding v1? Neural computation. 17 [PubMed]
Rindner DJ, Proddutur A, Lur G. (2022). Cell-type specific integration of feedforward and feedback synaptic inputs in the posterior parietal cortex Neuron. 110 [PubMed]
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]
Siegel M, Körding KP, König P. (2000). Integrating top-down and bottom-up sensory processing by somato-dendritic interactions. Journal of computational neuroscience. 8 [PubMed]