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Learn Behav
2022 Mar 01;501:20-36. doi: 10.3758/s13420-021-00492-3.
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Neuroecology beyond the brain: learning in Echinodermata.
Freas CA, Cheng K.
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We propose an expansion of neuroecological comparisons to include the capabilities of brainless and non-neural organisms. We begin this enterprise by conducting a systematic search for studies on learning in echinoderms. Echinodermata are marine invertebrates comprising starfish, brittle stars, sea cucumbers, sea urchins, and sea lilies. Animals in this phylum lack any centralized brain and instead possess diffuse neural networks known as nerve nets. The learning abilities of these animals are of particular interest as, within the bilaterian clade, they are close evolutionary neighbors to chordates, a phylum whose members exhibit complex feats in learning and contain highly specialized brains. The learning capacities and limitations of echinoderms can inform the evolution of nervous systems and learning in Bilateria. We find evidence of both non-associative and associative learning (in the form of classical conditioning) in echinoderms, which was primarily focused on starfish. Additional evidence of learning is documented in brittle stars, sand dollars, and sea urchins. We then discuss the evolutionary significance of learning capabilities without a brain, the presence of embodied cognition across multiple groups, and compare the learning present in echinoderms with the impressive cognitive abilities documented in the oldest linage group within vertebrates (the major group within the phylum of chordates), fish.
Birenheide,
Contractile connective tissue in crinoids.
1996, Pubmed,
Echinobase
Birenheide,
Contractile connective tissue in crinoids.
1996,
Pubmed
,
Echinobase Boisseau,
Habituation in non-neural organisms: evidence from slime moulds.
2016,
Pubmed Bronfman,
The Transition to Minimal Consciousness through the Evolution of Associative Learning.
2016,
Pubmed Brown,
Fish intelligence, sentience and ethics.
2015,
Pubmed Brown,
Growing in circles: rearing environment alters spatial navigation in fish.
2007,
Pubmed Bshary,
Fish cognition.
2014,
Pubmed Castiello,
(Re)claiming plants in comparative psychology.
2021,
Pubmed Clark,
The function of the ophiuroid nerve ring: how a decentralized nervous system controls coordinated locomotion.
2019,
Pubmed
,
Echinobase Dussutour,
Learning in single cell organisms.
2021,
Pubmed Flash,
Motor primitives in vertebrates and invertebrates.
2005,
Pubmed Gagliano,
Experience teaches plants to learn faster and forget slower in environments where it matters.
2014,
Pubmed Gershman,
Reconsidering the evidence for learning in single cells.
2021,
Pubmed Ginsburg,
Epigenetic learning in non-neural organisms.
2009,
Pubmed Ginsburg,
The evolution of associative learning: A factor in the Cambrian explosion.
2010,
Pubmed Grosenick,
Fish can infer social rank by observation alone.
2007,
Pubmed Hamel,
Evidence of anticipatory immune and hormonal responses to predation risk in an echinoderm.
2021,
Pubmed
,
Echinobase Hampton,
Hippocampal volume and food-storing behavior are related in parids.
1995,
Pubmed Haralson,
Classical conditioning in the sea anemone, Cribrina xanthogrammica.
1975,
Pubmed Heinze,
Principles of Insect Path Integration.
2018,
Pubmed Hochner,
An embodied view of octopus neurobiology.
2012,
Pubmed Hoekstra,
Novel insights into the echinoderm nervous system from histaminergic and FMRFaminergic-like cells in the sea cucumber Leptosynapta clarki.
2012,
Pubmed
,
Echinobase Holland,
Early central nervous system evolution: an era of skin brains?
2003,
Pubmed Holland,
Evolution of bilaterian central nervous systems: a single origin?
2013,
Pubmed
,
Echinobase Hughes,
Two intertidal fish species use visual association learning to track the status of food patches in a radial maze.
2000,
Pubmed Ji,
Echinoderms have bilateral tendencies.
2012,
Pubmed
,
Echinobase Keijzer,
Evolutionary convergence and biologically embodied cognition.
2017,
Pubmed Krebs,
Hippocampal specialization of food-storing birds.
1989,
Pubmed Laland,
Shoaling generates social learning of foraging information in guppies.
1997,
Pubmed Landenberger,
Learning in the Pacific starfish Pisaster giganteus.
1966,
Pubmed
,
Echinobase Langille,
Locating the engram: Should we look for plastic synapses or information-storing molecules?
2020,
Pubmed Markel,
Lack of evidence for associative learning in pea plants.
2020,
Pubmed Mashanov,
Regeneration of the radial nerve cord in a holothurian: a promising new model system for studying post-traumatic recovery in the adult nervous system.
2008,
Pubmed
,
Echinobase Mashanov,
The central nervous system of sea cucumbers (Echinodermata: Holothuroidea) shows positive immunostaining for a chordate glial secretion.
2009,
Pubmed
,
Echinobase McClintock,
Characteristics of foraging in the soft-bottom benthic starfish Luidia clathrata (echinodermata: Asteroidea): prey selectivity, switching behavior, functional responses and movement patterns.
1985,
Pubmed
,
Echinobase Mueller,
An evolutionary interpretation of teleostean forebrain anatomy.
2009,
Pubmed Olson,
Performance of four seed-caching corvid species in operant tests of nonspatial and spatial memory.
1995,
Pubmed Ord,
Repeated evolution of exaggerated dewlaps and other throat morphology in lizards.
2015,
Pubmed Pentreath,
Neurobiology of echinodermata.
1972,
Pubmed
,
Echinobase Pinto,
Radial glial cell heterogeneity--the source of diverse progeny in the CNS.
2007,
Pubmed Rowland,
Ten Years of Grid Cells.
2016,
Pubmed Sherry,
Neuroecology.
2006,
Pubmed Sherry,
The hippocampal complex of food-storing birds.
1989,
Pubmed