4 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CV2017★ 1 cited
Spiking Optical Flow for Event-based Sensors Using IBM's TrueNorth Neurosynaptic System
Germain Haessig, Andrew Cassidy, Rodrigo Alvarez +2
This paper describes a fully spike-based neural network for optical flow estimation from Dynamic Vision Sensor data. A low power embedded implementation of the method which combine…
cs.NE2015★ 4 cited
Gibbs Sampling with Low-Power Spiking Digital Neurons
Srinjoy Das, Bruno Umbria Pedroni, Paul Merolla +6
Restricted Boltzmann Machines and Deep Belief Networks have been successfully used in a wide variety of applications including image classification and speech recognition. Inferenc…