title: Fine spatial information represented in a population of retinal ganglion cells.
abstract: Detailed measurement of ganglion cell receptive fields often reveals significant deviations from a smooth, Gaussian profile. We studied the effect of these irregularities on the representation of fine spatial information in the retina. We recorded from nearby clusters of ganglion cells, testing their ability to determine the location of small flashed spots, and we compared the results to the prediction of a Gaussian receptive field model derived from reverse correlation. Despite considerable receptive field overlap, almost all ganglion cell pairs signaled nearly independently. For groups of five cells with highly overlapping receptive fields, the measured light-evoked currents encoded ∼33% more information than predicted by the Gaussian receptive field model. Including measured local irregularities in the receptive field model increased performance to the level observed experimentally. These results suggest that instead of being an unavoidable defect, irregularities may be a positive design feature of population neural codes.
authors.affiliation: Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey 08544, USA. frederick.soo@gmail.com
authors.forename: Frederick S
authors.initials: FS
authors.lastname: Soo
authors.forename: Gregory W
authors.initials: GW
authors.lastname: Schwartz
authors.forename: Kolia
authors.initials: K
authors.lastname: Sadeghi
authors.forename: Michael J
authors.initials: MJ
authors.lastname: Berry
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000818:Animals; D007814:Larva; D008959:Models, Neurological; D016011:Normal Distribution; D018408:Patch-Clamp Techniques / Q000379:methods; D010775:Photic Stimulation / Q000379:methods; D012160:Retina / Q000166:cytology; D012165:Retinal Ganglion Cells / Q000145:classification / Q000502:physiology*; D015398:Signal Transduction / Q000502:physiology*; D014562:Caudata; D014794:Visual Fields / Q000502:physiology*