Visual Pattern Recognition with on On-chip Learning: towards a Fully Neuromorphic Approach

We present a spiking neural network (SNN) for visual pattern recognition with on-chip learning on neuromorphichardware. We show how this network can learn simple visual patterns composed of horizontal and vertical bars sensed by a Dynamic Vision Sensor, using a local spike-based plasticity rule. Dur...

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Veröffentlicht in:	arXiv.org 2020-08
Hauptverfasser:	Baumgartner, Sandro, Renner, Alpha, Kreiser, Raphaela, Liang, Dongchen, Indiveri, Giacomo, Sandamirskaya, Yulia
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Neural and Evolutionary Computing Learning Neural networks Noise Pattern recognition
Online-Zugang:	Volltext
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