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https://www.readbyqxmd.com/read/27199646/skimming-digits-neuromorphic-classification-of-spike-encoded-images
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Gregory K Cohen, Garrick Orchard, Sio-Hoi Leng, Jonathan Tapson, Ryad B Benosman, André van Schaik
The growing demands placed upon the field of computer vision have renewed the focus on alternative visual scene representations and processing paradigms. Silicon retinea provide an alternative means of imaging the visual environment, and produce frame-free spatio-temporal data. This paper presents an investigation into event-based digit classification using N-MNIST, a neuromorphic dataset created with a silicon retina, and the Synaptic Kernel Inverse Method (SKIM), a learning method based on principles of dendritic computation...
2016: Frontiers in Neuroscience
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