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We present a generative model for a three-layer hierarchy consisting of a retinal layer, a simple-cell layer, and a complex-cell layer. The weights in the model are trained using supervised learning on the retinal layer and complex cells. Once the weights are learned, the model is able to perform bottom-up classification of images, as well as top-down reconstruction from a specified category. The...
All higher order central nervous systems exhibit spontaneous neural activity, though the purpose and mechanistic origin of such activity remains poorly understood. We quantitatively analyzed the ignition and spread of collective spontaneous electrophysiological activity in networks of cultured cortical neurons growing on microelectrode arrays. Leader neurons, which form a mono-synaptically connected...
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