Aaron Voelker

According to our database, Aaron Voelker authored at least 22 papers between 2013 and 2021.

Collaborative distances:

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

2021

Simulating and Predicting Dynamical Systems With Spatial Semantic Pointers.

Aaron R. Voelker, Peter Blouw, Xuan Choo, Nicole Sandra-Yaffa Dumont, Terrence C. Stewart, Chris Eliasmith

Neural Comput., 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 Neurocomputational Model of Prospective and Retrospective Timing.

Joost de Jong, Aaron R. Voelker, Terrence C. Stewart, Chris Eliasmith, Elkan G. Akyürek, Hedderik van Rijn

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020

Hardware Aware Training for Efficient Keyword Spotting on General Purpose and Specialized Hardware.

Peter Blouw, Gurshaant Malik, Benjamin Morcos, Aaron R. Voelker, Chris Eliasmith

CoRR, 2020

A short letter on the dot product between rotated Fourier transforms.

Aaron R. Voelker

CoRR, 2020

A Spike in Performance: Training Hybrid-Spiking Neural Networks with Quantized Activation Functions.

Aaron R. Voelker, Daniel Rasmussen, Chris Eliasmith

CoRR, 2020

2019

Dynamical Systems in Spiking Neuromorphic Hardware.

Aaron R. Voelker

PhD thesis, 2019

Braindrop: A Mixed-Signal Neuromorphic Architecture With a Dynamical Systems-Based Programming Model.

Alexander Neckar, Sam Fok, Ben Varkey Benjamin, Terrence C. Stewart, Nick N. Oza, Aaron R. Voelker, Chris Eliasmith, Rajit Manohar, Kwabena Boahen

Proc. IEEE, 2019

Legendre Memory Units: Continuous-Time Representation in Recurrent Neural Networks.

Aaron Voelker, Ivana Kajic, Chris Eliasmith

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Representing spatial relations with fractional binding.

Thomas Lu, Aaron Voelker, Brent Komer, Chris Eliasmith

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

A neural representation of continuous space using fractional binding.

Brent Komer, Terrence C. Stewart, Aaron Voelker, Chris Eliasmith

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Improving Spiking Dynamical Networks: Accurate Delays, Higher-Order Synapses, and Time Cells.

Aaron R. Voelker, Chris Eliasmith

Neural Comput., 2018

2017

Improving With Practice: A Neural Model of Mathematical Development.

Sean Aubin, Aaron R. Voelker, Chris Eliasmith

Top. Cogn. Sci., 2017

Point Neurons with Conductance-Based Synapses in the Neural Engineering Framework.

Andreas Stöckel, Aaron R. Voelker, Chris Eliasmith

CoRR, 2017

Methods for applying the Neural Engineering Framework to neuromorphic hardware.

Aaron R. Voelker, Chris Eliasmith

CoRR, 2017

Extending the neural engineering framework for nonideal silicon synapses.

Aaron R. Voelker, Ben Varkey Benjamin, Terrence C. Stewart, Kwabena Boahen, Chris Eliasmith

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

A population-level approach to temperature robustness in neuromorphic systems.

Eric Kauderer-Abrams, Andrew Gilbert, Aaron Voelker, Ben Varkey Benjamin, Terrence C. Stewart, Kwabena Boahen

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

A Spiking Neural Bayesian Model of Life Span Inference.

Sugandha Sharma, Aaron Voelker, Chris Eliasmith

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

A Spiking Independent Accumulator Model for Winner-Take-All Computation.

Jan Gosmann, Aaron Voelker, Chris Eliasmith

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016

Human-Inspired Neurorobotic System for Classifying Surface Textures by Touch.

Ken E. Friedl, Aaron R. Voelker, Angelika Peer, Chris Eliasmith

IEEE Robotics Autom. Lett., 2016

Efficient SpiNNaker simulation of a heteroassociative memory using the Neural Engineering Framework.

James C. Knight, Aaron R. Voelker, Andrew Mundy, Chris Eliasmith, Steve B. Furber

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

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