Anderson CH, Eliasmith C. (2003). Neural Engineering: Computation, Representation, and Dynamics in Neurobiological Systems.

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References and models cited by this paper
References and models that cite this paper

Conklin J, Eliasmith C. (2005). A controlled attractor network model of path integration in the rat. Journal of computational neuroscience. 18 [PubMed]

Duggins P, Stewart TC, Choo X, Eliasmith C. (2017). The Effects of Guanfacine and Phenylephrine on a Spiking Neuron Model of Working Memory. Topics in cognitive science. 9 [PubMed]

Eliasmith C. (2005). A unified approach to building and controlling spiking attractor networks. Neural computation. 17 [PubMed]

Eliasmith C, Westover MB, Anderson CH. (2002). A general framework for neurobiological modeling: an application to the vestibular system. Neurocomputing. 44-46 [PubMed]

Parisien C, Anderson CH, Eliasmith C. (2008). Solving the problem of negative synaptic weights in cortical models. Neural computation. 20 [PubMed]

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Singh R, Eliasmith C. (2006). Higher-dimensional neurons explain the tuning and dynamics of working memory cells. The Journal of neuroscience : the official journal of the Society for Neuroscience. 26 [PubMed]

Stewart TC, Tripp B, Eliasmith C. (2009). Python scripting in the nengo simulator. Frontiers in neuroinformatics. 3 [PubMed]

Tripp B, Eliasmith C. (2007). Neural populations can induce reliable postsynaptic currents without observable spike rate changes or precise spike timing. Cerebral cortex (New York, N.Y. : 1991). 17 [PubMed]

Tripp BP, Eliasmith C. (2010). Population models of temporal differentiation. Neural computation. 22 [PubMed]

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