Amari S, Nakahara H. (2005). Difficulty of singularity in population coding. Neural computation. 17 [PubMed]
Beardsley SA, Vaina LM. (2001). A laterally interconnected neural architecture in MST accounts for psychophysical discrimination of complex motion patterns. Journal of computational neuroscience. 10 [PubMed]
Blumenfeld B, Bibitchkov D, Tsodyks M. (2006). Neural network model of the primary visual cortex: From functional architecture to lateral connectivity and back Journal of computational neuroscience. 20 [PubMed]
Chessa M, Solari F. (2018). A Computational Model for the Neural Representation and Estimation of the Binocular Vector Disparity from Convergent Stereo Image Pairs International Journal of Neural Systems. 0
Eliasmith C. (2005). A unified approach to building and controlling spiking attractor networks. Neural computation. 17 [PubMed]
Huys QJ, Zemel RS, Natarajan R, Dayan P. (2007). Fast population coding. Neural computation. 19 [PubMed]
Klam F, Zemel RS, Pouget A. (2008). Population coding with motion energy filters: the impact of correlations. Neural computation. 20 [PubMed]
Miller P. (2006). Analysis of spike statistics in neuronal systems with continuous attractors or multiple, discrete attractor States. Neural computation. 18 [PubMed]
Montemurro MA, Panzeri S. (2006). Optimal tuning widths in population coding of periodic variables. Neural computation. 18 [PubMed]
Parisien C, Anderson CH, Eliasmith C. (2008). Solving the problem of negative synaptic weights in cortical models. Neural computation. 20 [PubMed]
Rao RP. (2004). Bayesian computation in recurrent neural circuits. Neural computation. 16 [PubMed]
Wu S, Amari S. (2005). Computing with continuous attractors: stability and online aspects. Neural computation. 17 [PubMed]