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Brain‐Inspired Polymer Dendrite Networks for Morphology‐Dependent Computing Hardware
1 Introduction Silicon-based digital computing technologies have achieved tremendous levels of sophistication and perfection over a relatively short period of time in the realm of digital information processing. Yet, digital computing is only a small corner of the much larger field of general computing.
Phase Change Memory Drift Compensation in Spiking Neural Networks Using a Non-Linear Current Scaling Strategy
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Markov Chain Abstractions of Electrochemical Reaction-Diffusion in Synaptic Transmission for Neuromorphic Computing
1. Introduction It has been known since the pioneering of computer architecture by John von Neumann that brains are far more effective and efficient in processing sensory information than digital computers, owing to the massively parallel distributed organization of neural circuits in the brain that tightly couple synaptic memory and computing at a fine grain scale (von Neumann, 1958).
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