March 2012
Volume 53, Issue 14
Free
ARVO Annual Meeting Abstract  |   March 2012
The Synaptic Receptive-Field Organization Of Parasol Ganglion Cells Of The Primate Retina
Author Affiliations & Notes
  • Michael B. Manookin
    Ophthalmology,
    University of Washington, Seattle, Washington
  • Christian Puller
    Ophthalmology,
    University of Washington, Seattle, Washington
  • Greg W. Schwartz
    Physiology and Biophysics,
    University of Washington, Seattle, Washington
  • Mark Cafaro
    Physiology and Biophysics,
    University of Washington, Seattle, Washington
  • Fred M. Rieke
    Physiology and Biophysics,
    University of Washington, Seattle, Washington
  • Jay Neitz
    Ophthalmology,
    University of Washington, Seattle, Washington
  • Maureen Neitz
    Ophthalmology,
    University of Washington, Seattle, Washington
  • Footnotes
    Commercial Relationships  Michael B. Manookin, None; Christian Puller, None; Greg W. Schwartz, None; Mark Cafaro, None; Fred M. Rieke, None; Jay Neitz, None; Maureen Neitz, None
  • Footnotes
    Support  Research to Prevent Blindness, Helen Hay Whitney Foundation, NIH Grants P30EY01730, EY090303, RR000166
Investigative Ophthalmology & Visual Science March 2012, Vol.53, 1948. doi:
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      Michael B. Manookin, Christian Puller, Greg W. Schwartz, Mark Cafaro, Fred M. Rieke, Jay Neitz, Maureen Neitz; The Synaptic Receptive-Field Organization Of Parasol Ganglion Cells Of The Primate Retina. Invest. Ophthalmol. Vis. Sci. 2012;53(14):1948.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose: : Parasol ganglion cells of the primate retina provide the major input to magnocellular LGN. The receptive field structure of these cells has been well studied at the level of spike output (Chichilnisky and Kalmar, J Neurosci 2002 22:2737-2747), but a detailed understanding of the spatial organization of excitatory and inhibitory input to parasol cells is lacking. Here, we directly measure the organization of the parasol cell receptive fields at the level of spike output and excitatory and inhibitory synaptic input.

Methods: : We used a combination of spatially correlated and uncorrelated noise to map the receptive field structure of parasol ganglion cells in an in vitro, whole-mount preparation of the macaque monkey retina. Paired electrophysiological recordings were performed in neighboring parasol cells. Spatially correlated noise was generated based on natural scene statistics (Field, Neural Computation 1994 6:559-601). Uncorrelated noise was presented using a lattice of squares between 36 and 480 µm2 updating randomly over time. The spatio-temporal filter for a cell was computed (Chichilnisky, Network 2001 12:199-213) from both correlated and uncorrelated noise stimuli and the receptive-field structure was calculated using a parametric model (Chichilnisky and Kalmar, J Neurosci 2002 22:2737-2747; Field et al., J Neurosci 2007 27:13261-13272). The computed receptive-field structure was then correlated with the cell’s dendritic morphology.

Results: : Combining spatially correlated and uncorrelated white noise allowed for a relatively fast, high-resolution mapping of parasol receptive fields. Further analysis revealed that using larger spatial correlations, either with statistical correlations or larger squares, was important for revealing a ganglion cell’s receptive field surround.

Conclusions: : These results suggest that the center-surround structure of ganglion cell receptive fields is optimally revealed using a combination of small and large spatial correlations. The increased speed of this technique makes it possible to measure the excitatory and inhibitory components of the receptive field in whole-cell, voltage-clamp configuration.

Keywords: receptive fields • ganglion cells • computational modeling 
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