@article{45d1448c8ec24f9abd3683badd9d7602,
title = "Same but different: the latency of a shared expectation signal interacts with stimulus attributes",
abstract = "Predictive coding theories assert that perceptual inference is a hierarchical process of belief updating, wherein the onset of unexpected sensory data causes so-called prediction error responses that calibrate erroneous inferences. Given the functionally specialised organisation of visual cortex, it is assumed that prediction error propagation interacts with the specific visual attribute violating an expectation. We sought to test this within the temporal domain by applying time-resolved decoding methods to electroencephalography (EEG) data evoked by contextual trajectory violations of either brightness, size, or orientation within a bound stimulus. We found that following ∼170 ms post stimulus onset, responses to both size violations and orientation violations were decodable from physically identical control trials in which no attributes were violated. These two violation types were then directly compared, with attribute-specific signalling being decoded from 265 ms. Temporal generalisation suggested that this dissociation was driven by latency shifts in shared expectation signalling between the two conditions. Using a novel temporal bias method, we then found that this shared signalling occurred earlier for size violations than orientation violations. To our knowledge, we are among the first to decode expectation violations in humans using EEG and have demonstrated a temporal dissociation in attribute-specific expectancy violations.",
keywords = "Decoding, EEG, Expectation violation, Prediction error, Visual attributes",
author = "Lowe, {Benjamin G.} and Robinson, {Jonathan E.} and Naohide Yamamoto and Hinze Hogendoorn and Patrick Johnston",
note = "Funding Information: We acknowledge the Turrbal and Jagera people, who are the traditional owners of the land on which our research was conducted. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. We further thank all the research participants for generously donating their time to participate in this research, without whom this study would not be possible. Computational resources and services used in this work were provided by the eResearch Office, Queensland University of Technology. BL was supported by an Australian Government Research Training Program Scholarship and thanks lab members from the Time in Brain and Behaviour Laboratory for their input and continued support. HH gratefully acknowledges the support he has received from the Australian Government through the Australian Research Council's Discovery Projects and Future Fellowship funding schemes (Projects DP180102268 and FT200100246). Funding Information: We acknowledge the Turrbal and Jagera people, who are the traditional owners of the land on which our research was conducted. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. We further thank all the research participants for generously donating their time to participate in this research, without whom this study would not be possible. Computational resources and services used in this work were provided by the eResearch Office, Queensland University of Technology. BL was supported by an Australian Government Research Training Program Scholarship and thanks lab members from the Time in Brain and Behaviour Laboratory for their input and continued support. HH gratefully acknowledges the support he has received from the Australian Government through the Australian Research Council{\textquoteright}s Discovery Projects and Future Fellowship funding schemes (Projects DP180102268 and FT200100246 ). Publisher Copyright: {\textcopyright} 2023",
year = "2023",
month = nov,
doi = "10.1016/j.cortex.2023.08.004",
language = "English",
volume = "168",
pages = "143--156",
journal = "Cortex",
issn = "0010-9452",
publisher = "Elsevier BV",
}