Spiking Optical Flow for Event-based Sensors Using IBM's TrueNorth Neurosynaptic System

no code implementations • 26 Oct 2017 • Germain Haessig, Andrew Cassidy, Rodrigo Alvarez, Ryad Benosman, Garrick Orchard

This paper describes a fully spike-based neural network for optical flow estimation from Dynamic Vision Sensor data.

Optical Flow Estimation

Conversion of Artificial Recurrent Neural Networks to Spiking Neural Networks for Low-power Neuromorphic Hardware

no code implementations • 16 Jan 2016 • Peter U. Diehl, Guido Zarrella, Andrew Cassidy, Bruno U. Pedroni, Emre Neftci

We find that short synaptic delays are sufficient to implement the dynamical (temporal) aspect of the RNN in the question classification task.

General Classification Representation Learning +1

TrueHappiness: Neuromorphic Emotion Recognition on TrueNorth

no code implementations • 16 Jan 2016 • Peter U. Diehl, Bruno U. Pedroni, Andrew Cassidy, Paul Merolla, Emre Neftci, Guido Zarrella

We present an approach to constructing a neuromorphic device that responds to language input by producing neuron spikes in proportion to the strength of the appropriate positive or negative emotional response.

Emotion Recognition Sentiment Analysis