Recurrent computations for visual pattern completion

TANG et al 2018

Recurrent computations for visual pattern completion

Tang et al. Recurrent computations for visual pattern completion

PNAS 2018

How can we make inferences from partial information? This study combines behavioral, neurophysiological, and computational tools to show that recurrent computations can help perform visual pattern completion.

Work to cite in connection with these data:

Tang H, Schrimpf M, Lotter B, Moerman C, Paredes A, Caro JO, Hardesty W, Cox D, Kreiman G. Recurrent computations for visual pattern completion. PNAS, 2018. PDF

Download data:

Additional figures

Stimuli

1. README

2. KLAB325 [7.6M]

3. KLAB325-occluded [1.6M]

4. Code to display stimuli

5. Figure with all stimuli

Behavioral data

1. README

2. Behavioral data 1FGH [761 K]

3. Code to plot figures 1F, G and H

Neurophysiological data

1. README

2. Neurophysiologicaldata_2D [1.7M] colormap [4K]

3. Code to plot figure 2D

Computational Models

1. Link to GitHub repository with source code for the computational models and analyses

Disclaimer

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