Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Burlingham, Charles S. | - |
dc.contributor.author | Heeger, David J. | - |
dc.date.accessioned | 2020-11-29T15:29:34Z | - |
dc.date.available | 2020-11-29T15:29:34Z | - |
dc.date.issued | 2020-11-30 | - |
dc.identifier.uri | http://hdl.handle.net/2451/61543 | - |
dc.description | Data and Matlab code to reproduce the results published in: Burlingham CS, Heeger DJ, Heading Perception Depends on Time-Varying Evolution of Optic Flow, Proceedings of the National Academy of Sciences, 2020. | en |
dc.description.abstract | There is considerable support for the hypothesis that perception of heading in the presence of rotation is mediated by instantaneous optic flow. This hypothesis, however, has never been tested. We introduce a novel method, termed “non-varying phase motion," for generating a stimulus that conveys a single instantaneous optic flow field, even though the stimulus is presented for an extended period of time. In this experiment, observers viewed stimulus videos and performed a forced choice heading discrimination task. For non-varying phase motion, observers made large errors in heading judgments. This suggests that instantaneous optic flow is insufficient for heading perception in the presence of rotation. These errors were mostly eliminated when the velocity of phase motion was varied over time to convey the evolving sequence of optic flow fields corresponding to a particular heading. This demonstrates that heading perception in the presence of rotation relies on the time-varying evolution of optic flow. We hypothesize that the visual system accurately computes heading, despite rotation, based on optic acceleration, the temporal derivative of optic flow. | en |
dc.language.iso | en_US | en |
dc.title | Supplemental Material for "Heading Perception Depends on Time-Varying Evolution of Optic Flow" | en |
dc.type | Software | en |
Appears in Collections: | Heeger Lab Collection |
Files in This Item:
File | Description | Size | Format | |
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Burlingham Heeger PNAS 2020 Data.zip | Data zip archive | 514.97 MB | Unknown | View/Open |
Burlingham Heeger PNAS 2020 Matlab code.zip | Matlab code zip archive | 103.45 kB | Unknown | View/Open |
Readme Matlab code.txt | Readme file describing the Matlab code | 1.32 kB | Text | View/Open |
Readme data.txt | Readme file describing the data | 1.67 kB | Text | View/Open |
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