Aaron Voelker

According to our database1, Aaron Voelker authored at least 22 papers between 2013 and 2021.

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Bibliography

2021
Simulating and Predicting Dynamical Systems With Spatial Semantic Pointers.
Neural Comput., 2021

Language Modeling using LMUs: 10x Better Data Efficiency or Improved Scaling Compared to Transformers.
CoRR, 2021

A Neurocomputational Model of Prospective and Retrospective Timing.
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.
CoRR, 2020

A short letter on the dot product between rotated Fourier transforms.
CoRR, 2020

A Spike in Performance: Training Hybrid-Spiking Neural Networks with Quantized Activation Functions.
CoRR, 2020

2019
Dynamical Systems in Spiking Neuromorphic Hardware.
PhD thesis, 2019

Braindrop: A Mixed-Signal Neuromorphic Architecture With a Dynamical Systems-Based Programming Model.
Proc. IEEE, 2019

Legendre Memory Units: Continuous-Time Representation in Recurrent Neural Networks.
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.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

A neural representation of continuous space using fractional binding.
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.
Neural Comput., 2018

2017
Improving With Practice: A Neural Model of Mathematical Development.
Top. Cogn. Sci., 2017

Point Neurons with Conductance-Based Synapses in the Neural Engineering Framework.
CoRR, 2017

Methods for applying the Neural Engineering Framework to neuromorphic hardware.
CoRR, 2017

Extending the neural engineering framework for nonideal silicon synapses.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

A population-level approach to temperature robustness in neuromorphic systems.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

A Spiking Neural Bayesian Model of Life Span Inference.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

A Spiking Independent Accumulator Model for Winner-Take-All Computation.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016
Human-Inspired Neurorobotic System for Classifying Surface Textures by Touch.
IEEE Robotics Autom. Lett., 2016

Efficient SpiNNaker simulation of a heteroassociative memory using the Neural Engineering Framework.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2013
Nengo: a Python tool for building large-scale functional brain models.
Frontiers Neuroinformatics, 2013


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