The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.
Evolution, Discovery, and Interpretations of Arthropod Mushroom Bodies
Open accessAbstract
Mushroom bodies are prominent neuropils found in annelids and in all arthropod groups except crustaceans. First explicitly identified in 1850, the mushroom bodies differ in size and complexity between taxa, as well as between different castes of a single species of social insect. These differences led some early biologists to suggest that the mushroom bodies endow an arthropod with intelligence or the ability to execute voluntary actions, as opposed to innate behaviors. Recent physiological studies and mutant analyses have led to divergent interpretations. One interpretation is that the mushroom bodies conditionally relay to higher protocerebral centers information about sensory stimuli and the context in which they occur. Another interpretation is that they play a central role in learning and memory. Anatomical studies suggest that arthropod mushroom bodies are predominately associated with olfactory pathways except in phylogenetically basal insects. The prominent olfactory input to the mushroom body calyces in more recent insect orders is an acquired character. An overview of the history of research on the mushroom bodies, as well as comparative and evolutionary considerations, provides a conceptual framework for discussing the roles of these neuropils.
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Cites
The Synaptic Organization of the Brain
(2004) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195159561.001.1 · Cited by 3,546
McAlpine, J. F., Peterson, B. V., Shewell, G. E., Teskey, H. J., Vockeroth, J. R., & Wood, D. M. (1981) · Research Branch, Agriculture Canada, eBooks · Cited by 1,611
Structure and function in the nervous systems of invertebrates
Bullock, T. H., Horridge, G. A., Bern, H. A., Hagedorn, I. R., & Smith, J. E. (1965) · Cited by 1,042
Strausfeld, N. J. (1976) · Medical Entomology and Zoology · Cited by 967
Self-citationThe organization of the chemosensory system in Drosophila melanogaster: a rewiew
Stocker, R. F. (1994) · Cell and Tissue Research · doi:10.1007/bf00305372 · Cited by 950
Impaired odour discrimination on desynchronization of odour-encoding neural assemblies
Stopfer, M., Bhagavan, S., Smith, B. H., & Laurent, G. (1997) · Nature · doi:10.1038/36335 · Cited by 927
(1976) · Springer eBooks · doi:10.1007/978-3-642-66179-2 · Cited by 873
Morphological characters and homology
Patterson, C., Josey, K. A., & Friday, A. E. (1982) · Cited by 835
Associative Odor Learning in Drosophila Abolished by Chemical Ablation of Mushroom Bodies
de Belle, J. S., & Heisenberg, M. (1994) · Science · doi:10.1126/science.8303280 · Cited by 788
Ito, K., Awano, W., Suzuki, K., Hiromi, Y., & Yamamoto, D. (1997) · Development · doi:10.1242/dev.124.4.761 · Cited by 757
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Cited by
Mushroom body memoir: from maps to models
Heisenberg, M. (2003) · Nature Reviews Neuroscience · doi:10.1038/nrn1074 · Cited by 1,286
Nässel, D. R. (2002) · Progress in Neurobiology · doi:10.1016/s0301-0082(02)00057-6 · Cited by 481
Neuronal assemblies of the Drosophila mushroom body
Tanaka, N. K., Tanimoto, H., & Ito, K. (2008) · Journal of Comparative Neurology · doi:10.1002/cne.21692 · Cited by 470
Self-citationOdor Encoding as an Active, Dynamical Process: Experiments, Computation, and Theory
Laurent, G., Stopfer, M., Friedrich, R. W., Rabinovich, M. I., Volkovskii, A., & Abarbanel, H. D. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.263 · Cited by 459
Evolutionary Biology of Insect Learning
Dukas, R. (2008) · Annual Review of Entomology · doi:10.1146/annurev.ento.53.103106.093343 · Cited by 451
Metadata
- Authors
- Strausfeld, N. J., Hansen, L., Li, Y., Gomez, R. S., & Ito, K.
- Venue
- Learning & Memory
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 1998-05-01
- Volume
- 5
- Issue
- 1
- Pages
- 11-37
- ISSN
- 1072-0502 (ISSN-L)
- 1549-5485
- OpenAlex
- W2158749728
- Cited by
- 579
- References
- 89
- Type
- posted content
- Language
- en
- Open access
- bronze
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- Strausfeld, N. J., Hansen, L., Li, Y., Gomez, R. S., & Ito, K. (1998). Evolution, Discovery, and Interpretations of Arthropod Mushroom Bodies. Learning & Memory. https://doi.org/10.1101/lm.5.1.11
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.