A back-propagation programmed network that simulates response properties of a subset of posterior parietal neurons.
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.
Zipser
D
D
Institute for Cognitive Science, University of California, San Diego, La Jolla 92093.
Andersen
R A
RA
D000818:Animals; D001921:Brain / Q000502:physiology*; D008251:Macaca; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D009424:Nervous System Physiological Phenomena; D009474:Neurons / Q000502:physiology*; D010296:Parietal Lobe / Q000502:physiology*; D010775:Photic Stimulation; D012160:Retina / Q000502:physiology; D014796:Visual Perception