Making a Spiking Net Work: Robust brain-like unsupervised machine learning

The surge in interest in Artificial Intelligence (AI) over the past decade has been driven almost exclusively by advances in Artificial Neural Networks (ANNs). While ANNs set state-of-the-art performance for many previously intractable problems, the use of global gradient descent necessitates large...

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Veröffentlicht in:	arXiv.org 2022-09
Hauptverfasser:	Stratton, Peter G, Wabnitz, Andrew, Essam, Chip, Cheung, Allen, Hamilton, Tara J
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Artificial neural networks Brain Dynamic stability Feature recognition Machine learning Neural networks Spiking Training Unsupervised learning
Online-Zugang:	Volltext
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