A Neural Model of Human Image Categorization. - Eric Hunsberger; Peter Blouw; James Bergstra; Chris Eliasmith (CogSci, 2013)

Nengo: a Python tool for building large-scale functional brain models. - Trevor Bekolay; James Bergstra; Eric Hunsberger; Travis DeWolf; Terrence C. Stewart; Daniel Rasmussen; Feng-Xuan Choo; Aaron Voelker; Chris Eliasmith (Frontiers Neuroinformatics, 2013)

The Competing Benefits of Noise and Heterogeneity in Neural Coding. - Eric Hunsberger; Matthew Scott 001; Chris Eliasmith (Neural Comput., 2014)

Spiking Deep Networks with LIF Neurons. - Eric Hunsberger; Chris Eliasmith (CoRR, 2015)

Training Spiking Deep Networks for Neuromorphic Hardware. - Eric Hunsberger; Chris Eliasmith (CoRR, 2016)

Feature-Based Resource Allocation for Real-Time Stereo Disparity Estimation. - Eric Hunsberger; Victor Reyes Osorio; Jeff Orchard; Bryan P. Tripp (IEEE Access, 2017)

Spiking Deep Neural Networks: Engineered and Biological Approaches to Object Recognition. - Eric Hunsberger (2017)

Benchmarking Keyword Spotting Efficiency on Neuromorphic Hardware. - Peter Blouw; Xuan Choo; Eric Hunsberger; Chris Eliasmith (CoRR, 2018)

A Spiking Neural Network for Image Segmentation. - Kinjal Patel; Eric Hunsberger; Sean Batir; Chris Eliasmith (CoRR, 2021)

Language Modeling using LMUs: 10x Better Data Efficiency or Improved Scaling Compared to Transformers. - Narsimha Chilkuri; Eric Hunsberger; Aaron Voelker; Gurshaant Malik; Chris Eliasmith (CoRR, 2021)