1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.ET2019
Low-Power Neuromorphic Hardware for Signal Processing Applications
Bipin Rajendran, Abu Sebastian, Michael Schmuker +2
Machine learning has emerged as the dominant tool for implementing complex cognitive tasks that require supervised, unsupervised, and reinforcement learning. While the resulting ma…
cs.NE2017★ 1 cited
Learning to Recognize Actions from Limited Training Examples Using a Recurrent Spiking Neural Model
Priyadarshini Panda, Narayan Srinivasa
A fundamental challenge in machine learning today is to build a model that can learn from few examples. Here, we describe a reservoir based spiking neural model for learning to rec…