research
∙
04/30/2023
Sparsifying Spiking Networks through Local Rhythms
It has been well-established that within conventional neural networks, m...
share
research
∙
06/15/2021
Bridge Networks
Despite rapid progress, current deep learning methods face a number of c...
research
∙
06/15/2021
Deep Phasor Networks: Connecting Conventional and Spiking Neural Networks
In this work, we extend standard neural networks by building upon an ass...
research
∙
03/05/2021
A Dual-Memory Architecture for Reinforcement Learning on Neuromorphic Platforms
Reinforcement learning (RL) is a foundation of learning in biological sy...
research
∙
06/06/2019