Mosaic arrangement of ganglion cell receptive fields in rabbit retina

Steven H. DeVries, Denis A. Baylor

Research output: Contribution to journalArticlepeer-review

255 Scopus citations


The arrangement of ganglion cell receptive fields on the retinal surface should constrain several properties of vision, including spatial resolution. Anatomic and physiological studies on the mammalian retina have shown that the receptive fields of several types of ganglion cells file the retinal surface, with the degree of receptive field overlap apparently being similar for the different classes. It has been difficult to test the generality of this arrangement, however, because it is hard to sample many receptive fields in the same preparation with conventional single-unit recording. In our experiments, the response properties and receptive fields of up to 80 neighboring ganglion cells in the isolated rabbit retina were characterized simultaneously by recording with a multielectrode array. The cells were divided into 11 classes on the basis of their characteristic light responses and the temporal structures of their impulse trains. The mosaic arrangement of receptive fields for cells of a given class was examined after the spatial profile of each receptive field was fitted with a generalized Gaussian surface. For eight cell classes the mosaic arrangement was similar: the profiles of neighboring cells approached each other at the 1-σ border. Thus field centers were 2 σ apart. The layout of fields for the remaining three classes was not well characterized because the fields were poorly fitted by a single Gaussian or because the cells responded selectively to movement. The 2-σ center-center spacing may be a general principle of functional organization that minimizes spatial aliasing and confers a uniform spatial sensitivity on the ganglion cell population.

Original languageEnglish (US)
Pages (from-to)2048-2060
Number of pages13
JournalJournal of neurophysiology
Issue number4
StatePublished - Oct 1997

ASJC Scopus subject areas

  • General Neuroscience
  • Physiology


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