Making a Spiking Net Work: Robust brain-like unsupervised machine learning

1 code implementation • 2 Aug 2022 • Peter G. Stratton, Andrew Wabnitz, Chip Essam, Allen Cheung, Tara J. Hamilton

Spiking Neural Networks (SNNs) are an alternative to ANNs that use more brain-like artificial neurons and can use local unsupervised learning to rapidly discover sparse recognizable features in the input data.

BIG-bench Machine Learning

DeFINE: Delayed Feedback based Immersive Navigation Environment for Studying Goal-Directed Human Navigation

1 code implementation • 6 Mar 2020 • Kshitij Tiwari, Ville Kyrki, Allen Cheung, Naohide Yamamoto

With the advent of consumer-grade products for presenting an immersive virtual environment (VE), there is a growing interest in utilizing VEs for testing human navigation behavior.