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The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|April 7, 2006
Higher-dimensional neurons explain the tuning and dynamics of working memory cellsRay Singh, Chris EliasmithPlos One|October 8, 2011
Fine-tuning and the stability of recurrent neural networksDavid MacNeil, Chris EliasmithPlos Computational Biology|September 8, 2022
Constructing functional models from biophysically-detailed neuronsPeter Duggins, Chris EliasmithPsychological Review|August 21, 2020
CUE: A unified spiking neuron model of short-term and long-term memoryJan Gosmann, Chris EliasmithPsychological Review|December 12, 2024
A spiking neural model of decision making and the speed-accuracy trade-offPeter Duggins, Chris EliasmithNeural Computation|December 9, 2017
Improving Spiking Dynamical Networks: Accurate Delays, Higher-Order Synapses, and Time CellsAaron R Voelker, Chris EliasmithNeural Computation|November 20, 2009
Population models of temporal differentiationBryan P Tripp, Chris EliasmithThe Behavioral and Brain Sciences|May 16, 2013
Realistic neurons can compute the operations needed by quantum probability theory and other vector symbolic architecturesTerrence C Stewart, Chris EliasmithExperimental Brain Research|November 29, 2014
Modelling the differential effects of prisms on perception and action in neglectSteven Leigh, James Danckert, Chris EliasmithFrontiers in Neurorobotics|November 9, 2020
Nengo and Low-Power AI Hardware for Robust, Embedded NeuroroboticsTravis DeWolf, Pawel Jaworski, Chris EliasmithPageof 13