The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Olfactory Representations by Drosophila Mushroom Body Neurons
Abstract
Learning and memory has been studied extensively in Drosophila using behavioral, molecular, and genetic approaches. These studies have identified the mushroom body as essential for the formation and retrieval of olfactory memories. We investigated odor responses of the principal neurons of the mushroom body, the Kenyon cells (KCs), in Drosophila using whole cell recordings in vivo. KC responses to odors were highly selective and, thus sparse, compared with those of their direct inputs, the antennal lobe projection neurons (PNs). We examined the mechanisms that might underlie this transformation and identified at least three contributing factors: excitatory synaptic potentials (from PNs) decay rapidly, curtailing temporal integration, PN convergence onto individual KCs is low (∼10 PNs per KC on average), and KC firing thresholds are high. Sparse activity is thought to be useful in structures involved in memory in part because sparseness tends to reduce representation overlaps. By comparing activity patterns evoked by the same odors across olfactory receptor neurons and across KCs, we show that representations of different odors do indeed become less correlated as they progress through the olfactory system.
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Cites
Marr, D. (1969) · The Journal of Physiology · doi:10.1113/jphysiol.1969.sp008820 · Cited by 3,253
Invariant visual representation by single neurons in the human brain
Quiroga, R. Q., Reddy, L., Kreiman, G., Koch, C., & Fried, I. (2005) · Nature · doi:10.1038/nature03687 · Cited by 1,988
Genetic dissection of consolidated memory in Drosophila
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Excitatory Local Circuits and Their Implications for Olfactory Processing in the Fly Antennal Lobe
Shang, Y., Claridge-Chang, A., Sjulson, L., Pypaert, M., & Miesenböck, G. (2007) · Cell · doi:10.1016/j.cell.2006.12.034 · Cited by 359
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Cited by
The neuronal architecture of the mushroom body provides a logic for associative learning
Aso, Y., Hattori, D., Yu, Y., Johnston, R. M., Iyer, N. A., Ngo, T.-T., Dionne, H., Abbott, L., Axel, R., Tanimoto, H., et al. (2014) · eLife · doi:10.7554/elife.04577 · Cited by 1,051
Divisive Normalization in Olfactory Population Codes
Olsen, S. R., Bhandawat, V., & Wilson, R. I. (2010) · Neuron · doi:10.1016/j.neuron.2010.04.009 · Cited by 500
Random convergence of olfactory inputs in the Drosophila mushroom body
Caron, S. J. C., Ruta, V., Abbott, L. F., & Axel, R. (2013) · Nature · doi:10.1038/nature12063 · Cited by 409
Heterosynaptic plasticity underlies aversive olfactory learning in Drosophila
Hige, T., Aso, Y., Modi, M. N., Rubin, G. M., & Turner, G. C. (2015) · Neuron · doi:10.1016/j.neuron.2015.11.003 · Cited by 354
Early Olfactory Processing in Drosophila: Mechanisms and Principles
Wilson, R. I. (2013) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062111-150533 · Cited by 394
Metadata
- Authors
- Turner, G. C., Bazhenov, M., & Laurent, G.
- Venue
- Journal of Neurophysiology
- Publisher
- American Physiological Society
- Published
- 2008-02
- Volume
- 99
- Issue
- 2
- Pages
- 734-746
- ISSN
- 0022-3077 (ISSN-L)
- 1522-1598
- OpenAlex
- W2121550993
- Cited by
- 414
- References
- 5
- FWCI
- 4.47
- Type
- journal article
- Language
- en
- Open access
- closed
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