The DOI matches its Crossref record; 95 of the 95 references it cites were found in a registry or an index.
Inhibition decorrelates visual feature representations in the inner retina
Open accessAbstract
The retina extracts visual features for transmission to the brain. Different types of bipolar cell split the photoreceptor input into parallel channels and provide the excitatory drive for downstream visual circuits. Mouse bipolar cell types have been described at great anatomical and genetic detail, but a similarly deep understanding of their functional diversity is lacking. Here, by imaging light-driven glutamate release from more than 13,000 bipolar cell axon terminals in the intact retina, we show that bipolar cell functional diversity is generated by the interplay of dendritic excitatory inputs and axonal inhibitory inputs. The resulting centre and surround components of bipolar cell receptive fields interact to decorrelate bipolar cell output in the spatial and temporal domains. Our findings highlight the importance of inhibitory circuits in generating functionally diverse excitatory pathways and suggest that decorrelation of parallel visual pathways begins as early as the second synapse of the mouse visual system.
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Chen, T.-W., Wardill, T. J., Sun, Y., Pulver, S. R., Renninger, S. L., Baohan, A., Schreiter, E. R., Kerr, R. A., Orger, M. B., Jayaraman, V., et al. (2013) · Nature · doi:10.1038/nature12354 · Cited by 6,474
Organization of the retina of the mudpuppy, Necturus maculosus. II. Intracellular recording.
Werblin, F. S., & Dowling, J. E. (1969) · Journal of Neurophysiology · doi:10.1152/jn.1969.32.3.339 · Cited by 1,381
Sparse Coding and Decorrelation in Primary Visual Cortex During Natural Vision
Vinje, W. E., & Gallant, J. L. (2000) · Science · doi:10.1126/science.287.5456.1273 · Cited by 1,275
Possible Principles Underlying the Transformations of Sensory Messages
Barlow, H. B. (2012) · Sensory Communication · doi:10.7551/mitpress/9780262518420.003.0013 · Cited by 1,269
Parallel processing in the mammalian retina
Wässle, H. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1497 · Cited by 1,252
Comprehensive Classification of Retinal Bipolar Neurons by Single-Cell Transcriptomics
Shekhar, K., Lapan, S. W., Whitney, I. E., Tran, N. M., Macosko, E. Z., Kowalczyk, M., Adiconis, X., Levin, J. Z., Nemesh, J., Goldman, M., et al. (2016) · Cell · doi:10.1016/j.cell.2016.07.054 · Cited by 1,176
The Neuronal Organization of the Retina
Masland, R. H. (2012) · Neuron · doi:10.1016/j.neuron.2012.10.002 · Cited by 1,150
An optimized fluorescent probe for visualizing glutamate neurotransmission
Marvin, J. S., Borghuis, B. G., Tian, L., Cichon, J., Harnett, M. T., Akerboom, J., Gordus, A., Renninger, S. L., Chen, T.-W., Bargmann, C. I., et al. (2013) · Nature Methods · doi:10.1038/nmeth.2333 · Cited by 1,000
The functional diversity of retinal ganglion cells in the mouse
Baden, T., Berens, P., Franke, K., Román Rosón, M., Bethge, M., & Euler, T. (2016) · Nature · doi:10.1038/nature16468 · Cited by 999
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Helmstaedter, M., Briggman, K. L., Turaga, S. C., Jain, V., Seung, H. S., & Denk, W. (2013) · Nature · doi:10.1038/nature12346 · Cited by 997
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Self-citationDigital Museum of Retinal Ganglion Cells with Dense Anatomy and Physiology
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Metadata
- Authors
- Franke, K., Berens, P., Schubert, T., Bethge, M., Euler, T., & Baden, T.
- Venue
- Nature
- Published
- 2017-02
- Volume
- 542
- Issue
- 7642
- Pages
- 439-444
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2586433236
- Cited by
- 299
- References
- 95
- FWCI
- 16.89
- Type
- journal article
- Language
- en
- Open access
- green
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