The evolution of neural networks is a fascinating story filled with innovation, groundbreaking breakthroughs, near-fatal setbacks, and remarkable comebacks. From early concepts rooted in neuroscience ...
Abstract: In the field of Internet of Things (IoT), the intrusion detection data is scarce because of the network security and privacy. This article proposes a domain adaptive IoT intrusion detection ...
State Key Laboratory for Mesoscopic Physics and Department of Physics, Collaborative Innovation Center of Quantum Matter, Beijing Academy of Quantum Information Sciences, Nano-optoelectronics Frontier ...
Abstract: Norbert Wiener invented the word cybernetics and wrote a book by that name. The subject was feedback and control in the human body. The new book, “Cybernetics 2.0: a General Theory of ...
This study proposes voltage-dependent-synaptic plasticity (VDSP), a novel brain-inspired unsupervised local learning rule for the online implementation of Hebb’s plasticity mechanism on neuromorphic ...
Spiking neural network (SNN) is considered to be the brain-like model that best conforms to the biological mechanism of the brain. Due to the non-differentiability of the spike, the training method of ...
The learning algorithm that enables the runaway success of deep neural networks doesn’t work in biological brains, but researchers are finding alternatives that could. In 2007, some of the leading ...
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