The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
Defining the Computational Structure of the Motion Detector in Drosophila
Open accessAbstract
SUMMARY Many animals rely on visual motion detection for survival. Motion information is extracted from spatiotemporal intensity patterns on the retina, a paradigmatic neural computation. A phenomenological model, the Hassenstein-Reichardt Correlator (HRC), relates visual inputs to neural and behavioral responses to motion, but the circuits that implement this computation remain unknown. Using cell-type specific genetic silencing, minimal motion stimuli, and in vivo calcium imaging, we examine two critical HRC inputs. These two pathways respond preferentially to light and dark moving edges. We demonstrate that these pathways perform overlapping but complementary subsets of the computations underlying the HRC. A numerical model implementing differential weighting of these operations displays the observed edge preferences. Intriguingly, these pathways are distinguished by their sensitivities to a stimulus correlation that corresponds to an illusory percept, “reverse phi”, that affects many species. Thus, this computational architecture may be widely used to achieve edge selectivity in motion detection.
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Welch, P. (1967) · IEEE Transactions on Audio and Electroacoustics · doi:10.1109/tau.1967.1161901 · Cited by 12,277
Receptive fields and functional architecture of monkey striate cortex
Hubel, D. H., & Wiesel, T. N. (1968) · The Journal of Physiology · doi:10.1113/jphysiol.1968.sp008455 · Cited by 6,568
The “independent components” of natural scenes are edge filters
Bell, A. J., & Sejnowski, T. J. (1997) · Vision Research · doi:10.1016/s0042-6989(97)00121-1 · Cited by 2,201
Hassenstein, B., & Reichardt, W. (1956) · Zeitschrift für Naturforschung B · doi:10.1515/znb-1956-9-1004 · Cited by 869
A simple white noise analysis of neuronal light responses
Chichilnisky, E. J. (2001) · Network Computation in Neural Systems · doi:10.1080/net.12.2.199.213 · Cited by 770
The optic lobe of Drosophila melanogaster. I. A Golgi analysis of wild-type structure
Fischbach, K.-F., & Dittrich, A. P. M. (1989) · Cell and Tissue Research · doi:10.1007/bf00218858 · Cited by 709
A simple white noise analysis of neuronal light responses
Chichilnisky, E. J. (2001) · Network: Computation in Neural Systems · doi:10.1080/713663221 · Cited by 670
The two-dimensional spatial structure of simple receptive fields in cat striate cortex
Jones, J. P., & Palmer, L. A. (1987) · Journal of Neurophysiology · doi:10.1152/jn.1987.58.6.1187 · Cited by 668
Transformation of Olfactory Representations in the Drosophila Antennal Lobe
Wilson, R. I., Turner, G. C., & Laurent, G. (2004) · Science · doi:10.1126/science.1090782 · Cited by 554
Fast and Slow Contrast Adaptation in Retinal Circuitry
Baccus, S. A., & Meister, M. (2002) · Neuron · doi:10.1016/s0896-6273(02)01050-4 · Cited by 515
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A visual motion detection circuit suggested by Drosophila connectomics
Takemura, S.-Y., Bharioke, A., Lu, Z., Nern, A., Vitaladevuni, S., Rivlin, P. K., Katz, W. T., Olbris, D. J., Plaza, S. M., Winston, P., et al. (2013) · Nature · doi:10.1038/nature12450 · Cited by 686
A directional tuning map of Drosophila elementary motion detectors
Maisak, M. S., Haag, J., Ammer, G., Serbe, E., Meier, M., Leonhardt, A., Schilling, T., Bahl, A., Rubin, G. M., Nern, A., et al. (2013) · Nature · doi:10.1038/nature12320 · Cited by 390
Glutamate is an inhibitory neurotransmitter in the Drosophila olfactory system
Liu, W. W., & Wilson, R. I. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1220560110 · Cited by 297
Processing properties of ON and OFF pathways for Drosophila motion detection
Behnia, R., Clark, D. A., Carter, A. G., Clandinin, T. R., & Desplan, C. (2014) · Nature · doi:10.1038/nature13427 · Cited by 262
Self-citationSeeing Things in Motion: Models, Circuits, and Mechanisms
Borst, A., & Euler, T. (2011) · Neuron · doi:10.1016/j.neuron.2011.08.031 · Cited by 281
Metadata
- Authors
- Clark, D. A., Bursztyn, L., Horowitz, M. A., Schnitzer, M. J., & Clandinin, T. R.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2011-06
- Volume
- 70
- Issue
- 6
- Pages
- 1165-1177
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W2029740022
- Cited by
- 259
- References
- 55
- FWCI
- 11.46
- Type
- journal article
- Language
- en
- Open access
- bronze
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