A comparison of equivalent noise methods in investigating local and global form and motion integration

Tools

Pavan, A., Contillo, A., Yilmaz, S., Kafaligonul, H., Donato, R. and O'Hare, L. ORCID: 0000-0003-0331-3646, 2022. A comparison of equivalent noise methods in investigating local and global form and motion integration. Attention, Perception, and Psychophysics. ISSN 1943-3921 (Forthcoming)

Text
1607581_O'Hare.pdf - Post-print
Restricted to Repository staff only
Download (2MB)

Abstract

Static and dynamic cues within certain spatiotemporal proximity are used to evoke respective global percepts of form and motion. The limiting factors in this process are first, internal noise, which indexes local orientation/direction detection, and secondly, sampling efficiency, which relates to the processing and the representation of global orientation/direction. These parameters are quantified using the equivalent noise (EN) paradigm. EN has been implemented with just two levels: high and low noise. However, when using this simplified version, one must assume the shape of the overall noise dependence, as the intermediate points are missing. Here, we investigated whether two distinct EN methods, the eight-point, and the simplified two-point version, reveal comparable parameter estimates. This was performed for three different types of stimuli: random dot kinematograms, and static and dynamic translational Glass patterns, to investigate how constant internal noise estimates are, and how sampling efficiency might vary over tasks. The results indicated substantial compatibility between estimates over a wide range of external noise levels sampled with eight data points, and a simplified version producing two highly informative data points. Our findings support the use of a simplified procedure to estimate essential form-motion integration parameters, paving the way for rapid and critical applications to populations that cannot tolerate protracted measurements.

Item Type:

Journal article

Publication Title:

Attention, Perception, and Psychophysics

Creators:

Pavan, A., Contillo, A., Yilmaz, S., Kafaligonul, H., Donato, R. and O'Hare, L.

Publisher:

Springer (part of Springer Nature)

Date:

8 October 2022

ISSN:

1943-3921