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@InProceedings{provost-sfn07,
  author =	 {Jefferson Provost and Marc Sommer},
  title =	 {A topographic model of shifting visual receptive fields},
  booktitle = {Society for Neuroscience Abstracts},
  organization = {Society for Neuroscience},
  month =	 {November},
  year =	 2007,
  abstract = {As the eyes move, the retinas are presented with a rapid
 sequence of different images, and yet we perceive a cohesive stable
 scene.  Recently, a long-postulated pathway for corollary discharge
 of saccadic eye movement commands was found to ascend from superior
 colliculus through mediodorsal thalamus to the frontal eye field
 (FEF).  This signal causes visually responsive cells in FEF to
 predictively shift their receptive fields (RFs) prior to the
 saccade. We are studying several hypotheses as to how these shifting
 RFs contribute to the percept of visual stability. We are using
 computational models to investigate these, based on a model neuron
 that combines a very broadly tuned, retinotopically mapped input
 field, and topographically mapped modulatory input encoding an
 impending saccade.  The broad input field of the neuron gives it
 covert information about the entire visual field, even though it only
 responds overtly (with action potentials) to a narrow region of
 visual space during fixation. When the saccade signal arrives from
 SC, the modulatory field temporarily increases the weight of synapses
 offset from the RF, making the neuron responsive at a new location
 (the "future field").  Based on these neurons, we are implementing a
 large-scale computational model of the FEF visual and motor circuits
 using Topographica, a neural simulator designed for investigating the
 structure and function of neural systems composed of interconnected
 topographic maps.  The goals of our model are to explain the various
 dynamic signals seen in the FEF, and to provide useful perceptual
 stability for a robot with a servo-mounted camera.}
}