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Deep neural networks are robust to weight binarization and other non-linear distortions.

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A Recurrent Model of Orientation Maps with Simple and Complex Cells., и . NIPS, стр. 995-1002. MIT Press, (2003)Dynamic computation in a recurrent network of heterogeneous silicon neurons., и . ISCAS, IEEE, (2006)A Digital Neurosynaptic Core Using Event-Driven QDI Circuits., , , , , и . ASYNC, стр. 25-32. IEEE Computer Society, (2012)Building block of a programmable neuromorphic substrate: A digital neurosynaptic core., , , , , , , , , и 2 other автор(ы). IJCNN, стр. 1-8. IEEE, (2012)Gibbs sampling with low-power spiking digital neurons., , , , , , , , и . ISCAS, стр. 2704-2707. IEEE, (2015)A digital neurosynaptic core using embedded crossbar memory with 45pJ per spike in 45nm., , , , , и . CICC, стр. 1-4. IEEE, (2011)Real-time sensory information processing using the TrueNorth Neurosynaptic System., , , , , , , , , и 2 other автор(ы). ISCAS, стр. 2911. IEEE, (2016)A 1024-Channel Simultaneous Recording Neural SoC with Stimulation and Real-Time Spike Detection., , , , , и . VLSI Circuits, стр. 1-2. IEEE, (2021)Neuromorphic implementation of orientation hypercolumns., , , , и . IEEE Trans. Circuits Syst. I Regul. Pap., 52-I (6): 1049-1060 (2005)TrueHappiness: Neuromorphic emotion recognition on TrueNorth., , , , , и . IJCNN, стр. 4278-4285. IEEE, (2016)