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

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buir.contributor.authorKoç, Şeyma
buir.contributor.authorKafalıgönül, Hulusi
buir.contributor.orcidKafalıgönül, Hulusi|0000-0001-5033-4138
dc.citation.epage165en_US
dc.citation.issueNumber1en_US
dc.citation.spage152en_US
dc.citation.volumeNumber83en_US
dc.contributor.authorPavan, A.
dc.contributor.authorContillo, A.
dc.contributor.authorKoç, Şeyma
dc.contributor.authorKafalıgönül, Hulusi
dc.contributor.authorDonato, R.
dc.contributor.authorO’Hare, L.
dc.date.accessioned2023-02-27T06:34:29Z
dc.date.available2023-02-27T06:34:29Z
dc.date.issued2022-11-15
dc.departmentAysel Sabuncu Brain Research Center (BAM)en_US
dc.departmentNational Magnetic Resonance Research Center (UMRAM)en_US
dc.description.abstractStatic 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, second, 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 8-point and the simplified 2-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.en_US
dc.identifier.doi10.3758/s13414-022-02595-zen_US
dc.identifier.issn1943-3921
dc.identifier.urihttp://hdl.handle.net/11693/111787
dc.language.isoEnglishen_US
dc.publisherSpringer New York LLCen_US
dc.relation.isversionofhttps://doi.org/10.3758/s13414-022-02595-zen_US
dc.source.titleAttention, Perception, & Psychophysicsen_US
dc.subjectInternal noiseen_US
dc.subjectSampling efficiencyen_US
dc.subjectForm-motion integrationen_US
dc.subjectEquivalent noise methodsen_US
dc.titleA comparison of equivalent noise methods in investigating local and global form and motion integrationen_US
dc.typeArticleen_US
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National Magnetic Resonance Research Center (UMRAM)
Aysel Sabuncu Brain Research Center (BAM)