Selectivity to approaching motion in retinal inputs to the dorsal visual pathway

  1. Todd R Appleby
  2. Michael B Manookin  Is a corresponding author
  1. Graduate Program in Neuroscience, University of Washington, United States
  2. Department of Ophthalmology, University of Washington, United States
  3. Vision Science Center, University of Washington, United States
8 figures and 1 additional file

Figures

Ganglion cells exhibit a preference for approaching textures.

(A) Responses of several ganglion cell types to receding (red) and approaching (black) Gaussian textures. Average spike rate is shown across 50–200 distinct randomly generated textures. The gray …

Figure 1—source data 1

Included is a data file containing a structure for the approach selectivity data in Figure 1.

https://cdn.elifesciences.org/articles/51144/elife-51144-fig1-data1-v2.mat
Direct measurement of spatiotemporal receptive-field model parameters.

(A) Model architecture. Center (left) and surround (right) regions of the receptive field were comprised of subunits. Subunits also exhibited center-surround receptive field structures based on …

Approach selectivity to moving textures predicted from nonlinear receptive-field subunits.

(A) Normalized outputs of linear subunit models to 500 textures that either approached or receded at five different rates. Approaching and receding motion was not distinguishable at any rate for …

Computational model predicts selectivity for approaching textures.

(A) Example approaching and receding textures. The same texture sequence was presented from highest-to-lowest spatial frequency (approaching) or lowest-to-highest spatial frequency (receding). …

Figure 5 with 2 supplements
Canonical receptive-field models predict a lack of approach selectivity.

(A) Stimulus paradigm for approaching and receding annuli. Annuli either rapidly increased in radius (approaching) or decreased in radius (receding). (B) Two-dimensional spatial receptive-field …

Figure 5—source code 1

Included is a MATLAB file containing code used to generate a simplified coupling model.

https://cdn.elifesciences.org/articles/51144/elife-51144-fig5-code1-v2.m
Figure 5—figure supplement 1
Parasol cell responses to briefly flashed annuli.

Receptive-field models predict symmetrical responses to briefly presented annuli. (A) Average spike rate of an On parasol cell across a single cycle of a 2 Hz sinusoidally modulated spot at …

Figure 5—video 1
Movie illustrating model subunit activations during the annulus stimulus paradigm.
Figure 6 with 1 supplement
Approach motion selectivity for moving annuli.

(A) Spike responses in an On parasol ganglion cell to receding (left) and approaching (middle) annuli presented at a series of contrasts. Right, Average spike rate during movement of receding (red) …

Figure 6—source data 1

Included is a data file containing a structure for the approach selectivity data in annulusspikes.

https://cdn.elifesciences.org/articles/51144/elife-51144-fig6-data1-v2.mat
Figure 6—figure supplement 1
Ganglion cell responses to moving spots.

Asymmetric response patterns to approaching and receding spots. (A) Spike responses in an On parasol ganglion cell to receding (left) and approaching (middle) spots presented at a series of …

Figure 7 with 1 supplement
Asymmetrical synaptic input patterns underlie approach motion selectivity.

(A) Excitatory synaptic currents measured in an On parasol ganglion cell to receding (left) and approaching (middle) annuli presented at a series of contrasts. Right, Excitatory charge during …

Figure 7—source data 1

Included is a data file containing a structure for the approach selectivity data in currents.

https://cdn.elifesciences.org/articles/51144/elife-51144-fig7-data1-v2.mat
Figure 7—figure supplement 1
Crossover inhibition contributes to selectivity for approaching motion.

Crossover inhibition contributes to approach motion selectivity in Off parasol cells. (A) Excitatory synaptic currents to receding (left) and approaching (middle) annuli at a series of contrasts. …

Appendix 1—figure 1
Current redistribution and nonlinearity shape determine network bias.

(A) Activation pattern for converging subunit network. Distal subunits (orange) imparted a portion of their input to proximal subunits (blue). Subunit inputs then pass through input-output functions …

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