finding
active
finding:gene-regulatory-network-models-exhibit-associative-learning-and-pattern-completionGene regulatory network models exhibit associative learning and pattern completion.
Analysis of GRN models shows they can perform several kinds of learning, supporting the view of cellular networks as agents on a cognitive continuum.
Source paper
extracted_from(2022) · Levin, Michael
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Thinkers (1)
thinker
- Richard WatsonsupportsCo-author; Electronics and Computer Science/Institute for Life Sciences, University of Southampton; develops connectionist frameworks for collective intelligence.
Communities (3)
community
- Causal emergence in biological systemsmembers_ofExamines how macro-scale causal power exceeds micro-scale in living and learning systems.
- 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 GRNsmembers_ofGene regulatory networks exhibit Pavlovian conditioning and pattern completion via deterministic molecular dynamics.
Concepts (1)
concept
- Core TAME tenet that cognitive capacities form a continuum without binary bright lines, essential for gradualist approach.
Findings (1)
finding
- Evidence that non-neural systems meet Crump's criterion #7; supports generalization of sentience criteria beyond neural substrates.
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Challenges mechanistic view of GRNs; suggests they occupy higher position on persuadability axis than previously assumed.
- Recent models show GRNs can perform associative learning and pattern completion.
- Demonstrates information integration in evolutionary systems with system-level selection
- Systems of molecular regulation exhibiting associative learning and downward causation; example of misplaced mechanistic assumptions.
Cross-corpus bridges (3)
same_concept_as · Nomic cosineExternal markdown files that talk about the same concept as this entity.
- aboutblank_kbCan Gene Regulatory Networks be trained and modified through associative learning approaches?questions/can-gene-regulatory-networks-be-trained-and-modified.md0.877
- aboutblank_kbGene Regulatory Networksconcepts/biology/gene-regulatory-networks.md0.841
- aboutblank_kbBoolean Network Modelframeworks/boolean-network-models.md0.799
Restated by (1)
cosine ≥ 0.90Other entities that say roughly the same thing. May be merge candidates or independent restatements across papers.