claim

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claim:gene-regulatory-networks-may-exhibit-learning-capacity

Gene regulatory networks may exhibit learning capacity.

Recent models show GRNs can perform associative learning and pattern completion.

Source paper

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Technological Approach to Mind Everywhere: An Experimentally-Grounded Framework for Understanding Diverse Bodies and Minds

(2022) · Michael Levin

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Communities (3)

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Causal emergence in biological systems
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Examines how macro-scale causal power exceeds micro-scale in living and learning systems.
Substrate-independent associative learning in biological networks
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Learning and memory mechanisms (Pavlovian conditioning, pattern completion) emerge in gene regulatory and molecular networks through coarse-graining and causal emergence analysis.
Non-neural associative learning in GRNs
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Gene regulatory networks exhibit Pavlovian conditioning and pattern completion via deterministic molecular dynamics.

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

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Gene regulatory networks exhibit associative learning capacity and can be trained via environmental stimuli, not only via genetic rewiring.hypothesis0.887
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Evidence that non-neural systems meet Crump's criterion #7; supports generalization of sentience criteria beyond neural substrates.
Gene regulatory network models exhibit associative learning and pattern completion.finding0.872
Analysis of GRN models shows they can perform several kinds of learning, supporting the view of cellular networks as agents on a cognitive continuum.
Gene regulatory networks can evolve associative memory, storing and recalling multiple phenotypes from partial selective cues (Watson et al. 2010)finding0.860
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Associative learning criterion can occur in gene regulatory networks and non-neural morphogenetic agentshypothesis0.828
Associative learning occurs in gene regulatory networks and other non-neural systems, making it substrate-independent.claim0.817
Can Gene Regulatory Networks Be Trained And Modifiedquestion0.815
Gene Regulatory Networksframework0.804

Cross-corpus bridges (2)

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Can Gene Regulatory Networks be trained and modified through associative learning approaches?questions/can-gene-regulatory-networks-be-trained-and-modified.md0.875
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Gene Regulatory Networksconcepts/biology/gene-regulatory-networks.md0.836