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Goal-driven optimization of single-neuron properties in a... | ResearchHub
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Goal-driven optimization of single-neuron properties in artificial networks reveals regularization role of neural diversity and adaptation in the brain
5
Authors
Victor Geadah
4 more
Victor Geadah
•
Stefan Horoi
2 more
•
Guillaume Lajoie
Published
October 29, 2022
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Topics
Biology
Machine Learning
Computer Science
Mathematics
Physics
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DOI
10.1101/2022.04.29.489963
License
CC-BY-NC-ND
Other Formats
PDF
Supporters
Support the authors with ResearchCoin
Tip RSC
Preprint Server
Topics
Biology
Machine Learning
Computer Science
Mathematics
Physics
Show all topics
DOI
10.1101/2022.04.29.489963
License
CC-BY-NC-ND
Other Formats
PDF
