Publications

Publications about Nengo

Below are publications about Nengo itself. If you want to cite Nengo, please use the first entry in this list.

Bekolay, Bergstra, Hunsberger, DeWolf, Stewart, Rasmussen, Choo, Voelker & Eliasmith. (2014) Nengo: a Python tool for building large-scale functional brain models. Frontiers in Neuroinformatics 7. PDF

Sharma, Aubin & Eliasmith. (2016) Large-scale cognitive model design using the Nengo neural simulator. Biologically Inspired Cognitive Architectures 17 (2016): 86-100. PDF

Gosmann & Eliasmith. (2017) Automatic optimization of the computation graph in the Nengo neural network simulator. Frontiers in Neuroinformatics 11. PDF

Publications using Nengo

Below are a small selection of publications that use Nengo. Nengo has been used in over 100 publications; for a partial list, see the CNRGlab website.

Eliasmith, C. (2013). How to build a brain: A neural architecture for biological cognition. Oxford University Press. website, amazon

Eliasmith et al. (2012). A large-scale model of the functioning brain. Science Vol. 338 no. 6111 pp. 1202-1205. DOI: 10.1126/science.1225266.

Crawford, Gingerich & Eliasmith. (2015) Biologically plausible, human-scale knowledge representation. Cognitive Science, DOI:10.1111/cogs.12261.

Eliasmith, Gosmann & Choo. (2016) Biospaun: a large-scale behaving brain model with complex neurons. ArXiv. PDF

Publications from summer school

Several projects from the Nengo summer school have been published or presented at conferences. Please edit this page if you know of any research that should be added to this list.

Kröger, Bekolay, & Eliasmith. (2014) Modeling speech production using the neural engineering framework. In 5th IEEE Conference on Cognitive Infocommunications, pp. 203-208. PDF

Senft et al. (2016) Reduction of dopamine in basal ganglia and its effects on syllable sequencing in speech: a computer simulation study. Basal Ganglia, 6.1, 7-17. PDF

Friedl et al. (2016) Human-inspired neurorobotic system for classifying surface textures by touch. Robotics and Automation Letters, 1.1, 516-523. PDF

Knight et al. (2016) Efficient SpiNNaker simulation of a heteroassociative memory using the Neural Engineering Framework. The 2016 International Joint Conference on Neural Networks (IJCNN), IEEE. PDF

Blouw, Eliasmith, & Tripp (2016) A scaleable spiking neural model of action planning. In Proceedings of the 37th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society. PDF

Kröger, Crawford, Bekolay, & Eliasmith (2016) Modeling interactions between speech production and perception: speech error detection at semantic and phonological levels and the inner speech loop. Frontiers in Computational Neuroscience 10:51. Full text