A back-propagation programmed network that simulates response properties of a subset of posterior parietal neurons
- PMID: 3344044
- DOI: 10.1038/331679a0
A back-propagation programmed network that simulates response properties of a subset of posterior parietal neurons
Abstract
Neurons in area 7a 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 7a neurons and accounts for their observed response properties.
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