Eric Hunsberger

According to our database, Eric Hunsberger authored at least 10 papers between 2013 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

A Spiking Neural Network for Image Segmentation.

Kinjal Patel, Eric Hunsberger, Sean Batir, Chris Eliasmith

CoRR, 2021

2018

Benchmarking Keyword Spotting Efficiency on Neuromorphic Hardware.

Peter Blouw, Xuan Choo, Eric Hunsberger, Chris Eliasmith

CoRR, 2018

2017

Spiking Deep Neural Networks: Engineered and Biological Approaches to Object Recognition.

Eric Hunsberger

PhD thesis, 2017

Feature-Based Resource Allocation for Real-Time Stereo Disparity Estimation.

Eric Hunsberger, Victor Reyes Osorio, Jeff Orchard, Bryan P. Tripp

IEEE Access, 2017

2016

Training Spiking Deep Networks for Neuromorphic Hardware.

Eric Hunsberger, Chris Eliasmith

CoRR, 2016

2015

Spiking Deep Networks with LIF Neurons.

Eric Hunsberger, Chris Eliasmith

CoRR, 2015

2014

The Competing Benefits of Noise and Heterogeneity in Neural Coding.

Eric Hunsberger, Matthew Scott, Chris Eliasmith

Neural Comput., 2014

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

A Neural Model of Human Image Categorization.

Eric Hunsberger, Peter Blouw, James Bergstra, Chris Eliasmith

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013