Abstract
Moving objects can cover large distances while they are processed by the eye, usually resulting in a spatially lagged retinal response. We identified a network of electrically coupled motion–coding neurons in mouse retina that act collectively to register the leading edges of moving objects at a nearly constant spatial location, regardless of their velocity. These results reveal a previously unknown neurophysiological substrate for lag normalization in the visual system.
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Acknowledgements
We thank W.H. Baldridge, B. Chow and K.R. Delaney for comments, K. Johnson for writing routines in Matlab and Z. Shi for maintaining mouse colonies. This work was supported in part by US National Science Foundation PHY-1058202 and EF-0928048 (V.B.) and was completed at the Aspen Center for Physics, which is supported by National Science Foundation PHY-1066293. This work was also supported by Canadian Institutes of Health Research 342202-2007 and Foundation for Fighting Blindness (Canada) (G.B.A.).
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All experiments were performed and analyzed by S.T. and were designed by S.T. and G.B.A. The computational model was developed by D.J.S., V.B. and G.B.A. The paper was written by S.T., V.B. and G.B.A.
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Trenholm, S., Schwab, D., Balasubramanian, V. et al. Lag normalization in an electrically coupled neural network. Nat Neurosci 16, 154–156 (2013). https://doi.org/10.1038/nn.3308
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DOI: https://doi.org/10.1038/nn.3308
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