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The default parameters used in params_init.m are for the AlOx/HfO2 RRAM stack published in: Woo, Jiyong, et al. "Improved synaptic behavior under identical pulses using AlO x/HfO 2 bilayer RRAM array for neuromorphic systems." IEEE Electron Device Letters 37.8 (2016): 994-997.
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and the synaptic circuit adopted is described in: Ambrogio, Stefano, et al. "Neuromorphic learning and recognition with one-transistor-one-resistor synapses and bistable metal oxide RRAM." IEEE Transactions on Electron Devices 63.4 (2016): 1508-1515.
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LIF neurons are used with threshold voltage homeostasis.
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LIF neurons are used with threshold voltage homeostasis. Two layered SNN is used with all-to-all excitatory synapses between input and output layer and lateral inhibitory connections between the output layer neurons for WTA. Training images used are four 8X8 binary images and testing images used are noisy versions of the training images with varying amounts of noise, provided in the folders named 'A', 'E', 'I' and 'O'. Expected training and testing accuracy reached after 11 epochs is 100% and 97% respectively.
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If you use MASTISK, we request you to cite our work by copy-pasting the following exact citation:
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