有关神经形态计算的最新出版物和专利

Neuromorphic computing is an interdisciplinary field that designs hardware and software systems inspired by the structure and function of biological neural networks, particularly the human brain. It employs non-von Neumann architectures, wherein processors and memory are closely integrated, enabling massively parallel computation, event-driven information processing, and low-power operation. Utilizing elements such as artificial spiking neurons and synapses, neuromorphic systems mimic the brain’s mechanisms for learning, adaptation, and sensory processing.

This is our latest selection of worldwide publications and patents in english on Neuromorphic Computing, between many scientific online journals, classified and focused on neuromorphic computing, spiking 神经网络, leaky integrate-and-fire neuron, memristor, neuromorphic, synaptic plasticity, axonal delay, silicon neuron, analog VLSI, Hebbian learning and spiking neural.

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