The DOI matches its Crossref record; 98 of the 101 references it cites were found in a registry or an index.
The evolution of associative learning: A factor in the Cambrian explosion
Abstract
The Cambrian explosion is probably the most spectacular diversification in evolutionary history, and understanding it has been a challenge for biologists since the time of Darwin. We propose that one of the key factors that drove this great diversification was associative learning. Although the evolutionary emergence of associative learning required only small modifications in already existing memory mechanisms and may have occurred in parallel in several groups, once this type of learning appeared on the evolutionary scene, it led to extreme diversifying selection at the ecological level: it enabled animals to exploit new niches, promoted new types of relations and arms races, and led to adaptive responses that became fixed through genetic accommodation processes. This learning-based diversification was accompanied by neurohormonal stress, which led to an ongoing destabilization and re-patterning of the epigenome, which, in turn, enabled further morphological, physiological, and behavioral diversification. Our hypothesis combines several previous ideas about the dynamics of the Cambrian explosion and provides a unifying framework that includes both ecological and genomic factors. We conclude by suggesting research directions that would clarify the timing and manner in which associative learning evolved, and the effects it had on the evolution of nervous systems, genomes, and animal morphology.
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“This is similar to the process of Unlimited Associative Learning (UAL) - the ability to group different sensory stimuli into a single compound percept that can be used in learning - proposed in work by Ginsburg and Jablonka as a transition marker for consciousness (Ginsburg and Jablonka 2007a,b, 2010, 2019; Bronfman et al. 2016)”
From The Measurement Problem of Consciousness (2020) · cites this paper as Ginsburg and Jablonka 2007a,b, 2010, 2019
In the citing paper
“This approach may facilitate the early development of multilayer processing structures, including interneurons as a crucial innovation, re-entrant closed loops and memory circuits capable of learning [274,275].”
From Fundamental constraints to the logic of living systems (2024) · cites this paper as [274]
Citations
Cites
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Jablonka, E., & Raz, G. (2009) · The Quarterly Review of Biology · doi:10.1086/598822 · Cited by 1,701
Self-citationSkinner, B. F. (1981) · Science · doi:10.1126/science.7244649 · Cited by 1,660
Covalent Modification of DNA Regulates Memory Formation
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Research works printed but not linked: 3
- Belyaev, 1982, The influence of stress on variation and its role in evolution, Biol. Zentralbl., 100, 705
- Jablonka, 2008, The epigenome in evolution: beyond the modern synthesis, Вестник ВОГиС, 12, 242
- Stanley, 1992, Can neurons explain the Cambrian explosion?, Geol. Soc. Am. Abstracts Programs, 24, A45
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Sorted by citations
Hayes, S. C., Barnes-Holmes, D., & Wilson, K. G. (2012) · Journal of Contextual Behavioral Science · doi:10.1016/j.jcbs.2012.09.004 · Cited by 409
“While basic learning processes likely date to the Cambrian period, and thus are more than 500 million years old (Ginsberg & Jablonka, 2010), human symbolic relations are far, far younger.”
BackgroundMorand‐Ferron, J., Cole, E. F., & Quinn, J. L. (2015) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/brv.12174 · Cited by 290
“Instead many cognitive traits are likely to influence several fitness-determining behaviours (e.g. associative learning; Ginsburg & Jablonka, 2010).”
BackgroundEvolving the future: Toward a science of intentional change
Wilson, D. S., Hayes, S. C., Biglan, A., & Embry, D. D. (2014) · Behavioral and Brain Sciences · doi:10.1017/s0140525x13001593 · Cited by 255
From chemotaxis to the cognitive map: The function of olfaction
Jacobs, L. F. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1201880109 · Cited by 227
“The increasing energy content of prey could have fueled the Cambrian arms race, resulting in ever bigger and more complex predators (82) and associative learning (83).”
BackgroundLearning by Association in Plants
Gagliano, M., Vyazovskiy, V. V., Borbély, A. A., Grimonprez, M., & Depczynski, M. (2016) · Scientific Reports · doi:10.1038/srep38427 · Cited by 246
Metadata
- Authors
- Ginsburg, S., & Jablonka, E.
- Affiliations
- Open University of Israel (IL)
- Tel Aviv University (IL)
- Corresponding author
- Jablonka, Eva
- Venue
- Journal of Theoretical Biology
- Publisher
- Elsevier BV
- Published
- 2010-09
- Volume
- 266
- Issue
- 1
- Pages
- 11-20
- ISSN
- 0022-5193 (ISSN-L)
- OpenAlex
- W2162225069
- Cited by
- 184
- References
- 101
- Citations by year
- 2026: 5 · 2025: 13 · 2024: 17 · 2023: 17 · 2022: 20 · 2021: 17 · 2020: 31 · 2019: 14 · 2018: 9 · 2017: 7 · 2016: 8 · 2015: 8 · 2014: 5 · 2013: 8 · 2012: 3
- FWCI
- 2.95
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Theoretical Biology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Marine Invertebrate Physiology and Ecology
- Physical Sciences › Earth and Planetary Sciences › Paleontology › Evolution and Paleontology Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Keywords
- Cambrian explosion, associative learning, evolutionary diversification, memory mechanisms, diversifying selection, arms race, genetic accommodation, epigenome, nervous system evolution, animal morphology, animal behavior
- MeSH terms
- Adaptation, Biological, Animals, Association Learning, Behavior, Animal, Biological Evolution, Memory, Nervous System Physiological Phenomena, Phylogeny, Selection, Genetic, Stress, Physiological, Stress, Psychological, Neurotransmitter Agents, Evolution, Molecular, Epigenesis, Genetic, Ecological and Environmental Phenomena
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