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Functional connectivity in the retina at the resolution of photoreceptors
- Source :
- Nature. October 7, 2010, Vol. 467 Issue 7316, p673, 6 p.
- Publication Year :
- 2010
-
Abstract
- To understand a neural circuit requires knowledge of its connectivity. Here we report measurements of functional connectivity between the input and ouput layers of the macaque retina at single-cell resolution and the implications of these for colour vision. Multi-electrode technology was used to record simultaneously from complete populations of the retinal ganglion cell types (midget, parasol and small bistratified) that transmit high-resolution visual signals to the brain. Fine-grained visual stimulation was used to identify the location, type and strength of the functional input of each cone photoreceptor to each ganglion cell. The populations of ON and OFF midget and parasol cells each sampled the complete population of long- and middle-wavelength-sensitive cones. However, only OFF midget cells frequently received strong input from short-wavelength-sensitive cones. ON and OFF midget cells showed a small non-random tendency to selectively sample from either long- or middle-wavelength-sensitive cones to a degree not explained by clumping in the cone mosaic. These measurements reveal computations in a neural circuit at the elementary resolution of individual neurons.<br />Colour vision requires neural circuitry to compare signals from spectrally distinct cone types. For example, the signature of primate colour vision--red-green and blue-yellow colour opponency--implies that neural circuits pit signals [...]
- Subjects :
- Neural circuitry -- Research -- Physiological aspects
Retina -- Properties -- Physiological aspects -- Research
Photoreceptors -- Research -- Physiological aspects
Color vision -- Physiological aspects -- Research
Environmental issues
Science and technology
Zoology and wildlife conservation
Subjects
Details
- Language :
- English
- ISSN :
- 00280836
- Volume :
- 467
- Issue :
- 7316
- Database :
- Gale General OneFile
- Journal :
- Nature
- Publication Type :
- Academic Journal
- Accession number :
- edsgcl.239645331
- Full Text :
- https://doi.org/10.1038/nature09424