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This paper presents a hybrid architecture combining CMOS spiking neurons with memristive devices to create large-scale brain-inspired computing systems. The proposed design allows for programmable spike shapes and demonstrates spike-time-dependent plasticity (STDP) learning through circuit simulations. The functionality of the system is validated by simulations of a 4x4 array of memristors connected to spiking neurons, showcasing the potential for dense learning synapse arrays.

Author

jeerocks2021

Language

EN