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Self-sustained activity in attractor networks using neuromorphic VLSI., , , , and . IJCNN, page 1-6. IEEE, (2010)A configurable analog VLSI neural network with spiking neurons and self-regulating plastic synapses ., , , , and . NIPS, page 545-552. Curran Associates, Inc., (2007)Real time unsupervised learning of visual stimuli in neuromorphic VLSI systems., , , and . CoRR, (2015)A distributed VLSI attractor network learning visual stimuli in real time and performing perceptual decisions., and . WIRN, volume 234 of Frontiers in Artificial Intelligence and Applications, page 344-352. IOS Press, (2011)An aVLSI recurrent network of spiking neurons with reconfigurable and plastic synapses., , , and . ISCAS, IEEE, (2006)Mean Field Approach for Configuring Population Dynamics on a Biohybrid Neuromorphic System., , , , , , , , and . CoRR, (2019)Mean Field Approach for Configuring Population Dynamics on a Biohybrid Neuromorphic System., , , , , , , , and . J. Signal Process. Syst., 92 (11): 1303-1321 (2020)Decision making and perceptual bistability in spike-based neuromorphic VLSI systems., , , and . ISCAS, page 2708-2711. IEEE, (2015)Classification of Correlated Patterns with a Configurable Analog VLSI Neural Network of Spiking Neurons and Self-Regulating Plastic Synapses., , , , and . Neural Comput., 21 (11): 3106-3129 (2009)Learning to recognize visual stimuli in neuromorphic VLSI., and . BioCAS, page 90. IEEE, (2012)