5 citations · 5 across the 1 of their papers we have counts for
4 papers
Nengo and low-power AI hardware for robust, embedded neurorobotics
Travis DeWolf, Pawel Jaworski, Chris Eliasmith
In this paper we demonstrate how the Nengo neural modeling and simulation libraries enable users to quickly develop robotic perception and action neural networks for simulation on…
Benchmarking Keyword Spotting Efficiency on Neuromorphic Hardware
Peter Blouw, Xuan Choo, Eric Hunsberger +1
Using Intel's Loihi neuromorphic research chip and ABR's Nengo Deep Learning toolkit, we analyze the inference speed, dynamic power consumption, and energy cost per inference of a…
Point Neurons with Conductance-Based Synapses in the Neural Engineering Framework
Andreas Stöckel, Aaron R. Voelker, Chris Eliasmith
The mathematical model underlying the Neural Engineering Framework (NEF) expresses neuronal input as a linear combination of synaptic currents. However, in biology, synapses are no…
BioSpaun: A large-scale behaving brain model with complex neurons
Chris Eliasmith, Jan Gosmann, Xuan Choo
We describe a large-scale functional brain model that includes detailed, conductance-based, compartmental models of individual neurons. We call the model BioSpaun, to indicate the…