Understanding the Impact of Neural Variations and Random Connections on Inference

Understanding the Impact of Neural Variations and Random Connections on Inference

Recent research suggests that in vitro neural networks created from dissociated neurons may be used for computing and performing machine learning tasks. To develop a better artificial intelligent system, a hybrid bio-silicon computer is worth exploring, but its performance is still inferior to that...

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Bibliographic Details
Main Authors: Yuan Zeng, Zubayer Ibne Ferdous, Weixiang Zhang, Mufan Xu, Anlan Yu, Drew Patel, Valentin Post, Xiaochen Guo, Yevgeny Berdichevsky, Zhiyuan Yan
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Computational Neuroscience
Subjects:
bio-silicon computer
biological neural network
living neural network
spiking neural network
sparse connections
weight constraint
Online Access:https://www.frontiersin.org/articles/10.3389/fncom.2021.612937/full

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https://www.frontiersin.org/articles/10.3389/fncom.2021.612937/full

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