Hardware implementation of convolutional STDP for on-line visual feature learning

Amirreza Yousefzadeh, Timothée Masquelier, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco

Abstract: We present a highly hardware friendly STDP (Spike Timing Dependent Plasticity) learning rule for training Spiking Convolutional Cores in Unsupervised mode and training Fully Connected Classifiers in Supervised Mode. Examples are given for a 2-layer Spiking Neural System which learns in real time features from visual scenes obtained with spiking DVS (Dynamic Vision Sensor) Cameras.