Human visual performance depends critically on the efficiency of circuits that connect foveal cones to ganglion cells. Our broad goal is to discover the basis for this efficiency. In the standard view all information destined for cortex is """"""""multiplexed"""""""" by two arrays: P/midget (95% of foveal ganglion cells) and M/parasol (5%). However, our current studies suggest that non-midget cells are more prevalent than suspected (>25%) and comprise four types. Thus, we hypothesize five ganglion cell arrays: a dense array of spectrally nonselective cells (midget); two sparser arrays of spectrally opponent cells (R/G & B/Y bistratified); a moderately dense array of linear, high contrast gain cells (beta-like parasol); and a sparse array of non-linear, motion-sensitive cells (alpha-like parasol). If confirmed, such arrays suggest that signal are not multiplexed but segregated early, thus permitting maximum amplification. We now propose: 1) Test the """"""""five array"""""""" hypothesis by determining quantitatively the circuits for all four types of non-midget ganglion cell. This should suggest possible correspondences to psychophysical channels because the number and weighting of cones connected to a ganglion cell type, plus its sampling frequency, set the information capacity of the array. 2) Test hypothesis that R and G midget ganglion cells in human receive different numbers of synapses. This will link our current studies on macaque to human circuitry and test our identification of spectrally opponent inputs to bistratified cells. 3) Determine amacrine circuits to ganglion cells. Amacrine synapses are numerous (e.g., 50% of the synapses to midget cells), but their circuits, which probably serve nonlinear mechanisms such as gain control, are completely unknown. 4) Determine which members of the ionotropic and metabotropic families of glutamate receptor are expressed on specific types of bipolar and ganglion cell. A circuit's coding capacity (i.e., signal/noise, gain, temporal bandwidth) depends critically on molecular properties of its postsynaptic receptors (e.g., binding constant, channel conductance and open time). Localizing these known properties in identified circuits will provide data essential to AIM 5. 5) Assess how identified factors (circuit structure, sampling frequency, and postsynaptic receptor properties) affect coding efficiency. Incorporate neural factors into """"""""ideal observer"""""""" models for comparison to preneural factors and psychophysical performance. Circuits will be studied by electron microscopy and by intracellular dye injection followed by digital light microscopy; glutamate receptors will be identified by immunocytochemistry and amplification of mRNA in identified cells; compartmental models will be used to assess how circuits optimize information transfer given their constraints: to be small (few synapses; prone to saturate) and to employ noisy mechanisms for signal transfer.

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Research Project (R01)
Project #
5R01EY008124-09
Application #
2391718
Study Section
Visual Sciences B Study Section (VISB)
Project Start
1989-04-01
Project End
1999-03-31
Budget Start
1997-04-01
Budget End
1998-03-31
Support Year
9
Fiscal Year
1997
Total Cost
Indirect Cost
Name
University of Pennsylvania
Department
Anatomy/Cell Biology
Type
Schools of Medicine
DUNS #
042250712
City
Philadelphia
State
PA
Country
United States
Zip Code
19104
Perge, Janos A; Niven, Jeremy E; Mugnaini, Enrico et al. (2012) Why do axons differ in caliber? J Neurosci 32:626-38
Tkacik, Gasper; Garrigan, Patrick; Ratliff, Charles et al. (2011) Natural images from the birthplace of the human eye. PLoS One 6:e20409
Prentice, Jason S; Homann, Jan; Simmons, Kristina D et al. (2011) Fast, scalable, Bayesian spike identification for multi-electrode arrays. PLoS One 6:e19884
Herr, Steve; Ngo, Ivy Tran; Huang, Teresa M et al. (2011) Cone synapses in macaque fovea: II. Dendrites of OFF midget bipolar cells exhibit Inner Densities similar to their Outer synaptic Densities in basal contacts with cone terminals. Vis Neurosci 28:17-28
Schein, Stan; Ngo, Ivy Tran; Huang, Teresa M et al. (2011) Cone synapses in macaque fovea: I. Two types of non-S cones are distinguished by numbers of contacts with OFF midget bipolar cells. Vis Neurosci 28:3-16
Garrigan, Patrick; Ratliff, Charles P; Klein, Jennifer M et al. (2010) Design of a trichromatic cone array. PLoS Comput Biol 6:e1000677
Tkacik, Gasper; Prentice, Jason S; Balasubramanian, Vijay et al. (2010) Optimal population coding by noisy spiking neurons. Proc Natl Acad Sci U S A 107:14419-24
Tkacik, Gasper; Prentice, Jason S; Victor, Jonathan D et al. (2010) Local statistics in natural scenes predict the saliency of synthetic textures. Proc Natl Acad Sci U S A 107:18149-54
Lassova, Luisa; Fina, Marie; Sulaiman, Pyroja et al. (2010) Immunocytochemical evidence that monkey rod bipolar cells use GABA. Eur J Neurosci 31:685-96
Ratliff, Charles P; Borghuis, Bart G; Kao, Yen-Hong et al. (2010) Retina is structured to process an excess of darkness in natural scenes. Proc Natl Acad Sci U S A 107:17368-73

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