A cytoskeletal-inspired network with mechanosensitive proteins and motors can learn strain responses via temporal contrastive learning, and this learning supports adaptation and homeostasis.
Rigidity of epithelial tissues as a double optimization problem
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Learning via mechanosensitivity and activity in cytoskeletal networks
A cytoskeletal-inspired network with mechanosensitive proteins and motors can learn strain responses via temporal contrastive learning, and this learning supports adaptation and homeostasis.