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Predictable Irregularities in Retinal Receptive Fields
Yuan Sophie Liu, Charles F. Stevens and Tatyana O. Sharpee
Proceedings of the National Academy of Sciences of the United States of America
Vol. 106, No. 38 (Sep. 22, 2009), pp. 16499-16504
Published by: National Academy of Sciences
Stable URL: http://www.jstor.org/stable/40485095
Page Count: 6
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Understanding how the nervous system achieves reliable performance using unreliable components is important for many disciplines of science and engineering, in part because it can suggest ways to lower the energetic cost of computing. In vision, retinal ganglion cells partition visual space into approximately circular regions termed receptive fields (RFs). Average RF shapes are such that they would provide maximal spatial resolution if they were centered on a perfect lattice. However, individual shapes have fine-scale irregularities. Here, we find that irregular RF shapes increase the spatial resolution in the presence of lattice irregularities from ≈60% to ≈92% of that possible for a perfect lattice. Optimization of RF boundaries around their fixed center positions reproduced experimental observations neuron-by-neuron. Our results suggest that lattice irregularities determine the shapes of retinal RFs and that similar algorithms can improve the performance of retinal prosthetics where substantial irregularities arise at their interface with neural tissue.
Proceedings of the National Academy of Sciences of the United States of America © 2009 National Academy of Sciences