Learning L/M Specificity for Ganglion Cells
Author(s) -
Albert J. Ahumada
Publication year - 2016
Publication title -
journal of vision
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.126
H-Index - 113
ISSN - 1534-7362
DOI - 10.1167/16.4.45
Subject(s) - receptive field , neuroscience , ganglion , decorrelation , mechanism (biology) , computer science , bistratified cell , artificial intelligence , pattern recognition (psychology) , biology , retina , physics , computer vision , retinal ganglion cell , intrinsically photosensitive retinal ganglion cells , quantum mechanics
Unsupervised learning models have been proposed based on experience (Ahumada and Mulligan, 1990;Wachtler, Doi, Lee and Sejnowski, 2007) that allow the cortex to develop units with LM specific color opponent receptive fields like the blob cells reported by Hubel and Wiesel on the basis of visual experience. These models used ganglion cells with LM indiscriminate wiring as inputs to the learning mechanism, which was presumed to occur at the cortical level.
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