Abstract
Neurons in area la of the posterior parietal cortex of monkeys respond to both the retinal location of a visual stimulus and the position of the eyes and by combining these signals represent the spatial location of external objects. A neural network model, programmed using back-propagation learning, can decode this spatial information from area la neurons and accounts for their observed response properties.
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Zipser, D., Andersen, R. A back-propagation programmed network that simulates response properties of a subset of posterior parietal neurons. Nature 331, 679–684 (1988). https://doi.org/10.1038/331679a0
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DOI: https://doi.org/10.1038/331679a0
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