Analog Implementation of a Spiking Neuron with Memristive Synapses for Deep Learning Processing
Royce R. Ramirez-Morales,
Victor H. Ponce-Ponce,
Herón Molina-Lozano
et al.
Abstract:Analog neuromorphic prototyping is essential for designing and testing spiking neuron models that use memristive devices as synapses. These prototypes can have various circuit configurations, implying different response behaviors that custom silicon designs lack. The prototype’s behavior results can be optimized for a specific foundry node, which can be used to produce a customized on-chip parallel deep neural network. Spiking neurons mimic how the biological neurons in the brain communicate through electrical… Show more
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