Brain inspired neuronal silencing mechanism to enable reliable sequence identification
Abstract Real-time sequence identification is a core use-case of artificial neural networks (ANNs), ranging from recognizing temporal events to identifying verification codes. Existing methods apply recurrent neural networks, which suffer from training difficulties; however, performing this function...
Main Authors: | Shiri Hodassman, Yuval Meir, Karin Kisos, Itamar Ben-Noam, Yael Tugendhaft, Amir Goldental, Roni Vardi, Ido Kanter |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-09-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-022-20337-x |
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