109 citations · 157 across the 6 of their papers we have counts for
15 papers
A Spiking Neural Architecture for Coordinating Arm and Locomotor Control
Lea Steffen, Kathryn Simone, Graeme Damberger +3
Spiking Neural Networks (SNNs) coupled with neuromorphic hardware offer energy-efficient solutions for humanoid robot control. However, existing SNN-based motor control systems add…
Debugging using Orthogonal Gradient Descent
Narsimha Chilkuri, Chris Eliasmith
In this report we consider the following problem: Given a trained model that is partially faulty, can we correct its behaviour without having to train the model from scratch? In ot…
Language Modeling using LMUs: 10x Better Data Efficiency or Improved Scaling Compared to Transformers
Narsimha Chilkuri, Eric Hunsberger, Aaron Voelker +2
Recent studies have demonstrated that the performance of transformers on the task of language modeling obeys a power-law relationship with model size over six orders of magnitude.…
A Spiking Neural Network for Image Segmentation
Kinjal Patel, Eric Hunsberger, Sean Batir +1
We seek to investigate the scalability of neuromorphic computing for computer vision, with the objective of replicating non-neuromorphic performance on computer vision tasks while…
Parallelizing Legendre Memory Unit Training
Narsimha Chilkuri, Chris Eliasmith
Recently, a new recurrent neural network (RNN) named the Legendre Memory Unit (LMU) was proposed and shown to achieve state-of-the-art performance on several benchmark datasets. He…
Low-Power Low-Latency Keyword Spotting and Adaptive Control with a SpiNNaker 2 Prototype and Comparison with Loihi
Yexin Yan, Terrence C. Stewart, Xuan Choo +7
We implemented two neural network based benchmark tasks on a prototype chip of the second-generation SpiNNaker (SpiNNaker 2) neuromorphic system: keyword spotting and adaptive robo…