Computational and neural signatures of pre and post-sensory expectation bias in inferior temporal cortex

Abstract As we gather noisy sensory information from the environment, prior knowledge about the likely cause(s) of sensory input can be leveraged to facilitate perceptual judgments. Here, we investigated the computational and neural manifestation of cued expectations in human subjects as they perfor...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Kyle Dunovan, Mark E. Wheeler
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/82981cc7ca3045de82fff158a2b8fcb3
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:82981cc7ca3045de82fff158a2b8fcb3
record_format	dspace
spelling	oai:doaj.org-article:82981cc7ca3045de82fff158a2b8fcb32021-12-02T15:08:54ZComputational and neural signatures of pre and post-sensory expectation bias in inferior temporal cortex10.1038/s41598-018-31678-x2045-2322https://doaj.org/article/82981cc7ca3045de82fff158a2b8fcb32018-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-31678-xhttps://doaj.org/toc/2045-2322Abstract As we gather noisy sensory information from the environment, prior knowledge about the likely cause(s) of sensory input can be leveraged to facilitate perceptual judgments. Here, we investigated the computational and neural manifestation of cued expectations in human subjects as they performed a probabilistic face/house discrimination task in which face and house stimuli were preceded by informative or neutral cues. Drift-diffusion modeling of behavioral data showed that cued expectations biased both the baseline (pre-sensory) and drift-rate (post-sensory) of evidence accumulation. By employing a catch-trial functional MRI design we were able to isolate neural signatures of expectation during pre- and post-sensory stages of decision processing in face- and house-selective areas of inferior temporal cortex (ITC). Cue-evoked timecourses were modulated by cues in a manner consistent with a pre-sensory prediction signal that scaled with probability. Sensory-evoked timecourses resembled a prediction-error signal, greater in magnitude for surprising than expected stimuli. Individual differences in baseline and drift-rate biases showed a clear mapping onto pre- and post-sensory fMRI activity in ITC. These findings highlight the specificity of perceptual expectations and provide new insight into the convergence of top-down and bottom-up signals in ITC and their distinct interactions prior to and during sensory processing.Kyle DunovanMark E. WheelerNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-13 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Kyle Dunovan Mark E. Wheeler Computational and neural signatures of pre and post-sensory expectation bias in inferior temporal cortex
description	Abstract As we gather noisy sensory information from the environment, prior knowledge about the likely cause(s) of sensory input can be leveraged to facilitate perceptual judgments. Here, we investigated the computational and neural manifestation of cued expectations in human subjects as they performed a probabilistic face/house discrimination task in which face and house stimuli were preceded by informative or neutral cues. Drift-diffusion modeling of behavioral data showed that cued expectations biased both the baseline (pre-sensory) and drift-rate (post-sensory) of evidence accumulation. By employing a catch-trial functional MRI design we were able to isolate neural signatures of expectation during pre- and post-sensory stages of decision processing in face- and house-selective areas of inferior temporal cortex (ITC). Cue-evoked timecourses were modulated by cues in a manner consistent with a pre-sensory prediction signal that scaled with probability. Sensory-evoked timecourses resembled a prediction-error signal, greater in magnitude for surprising than expected stimuli. Individual differences in baseline and drift-rate biases showed a clear mapping onto pre- and post-sensory fMRI activity in ITC. These findings highlight the specificity of perceptual expectations and provide new insight into the convergence of top-down and bottom-up signals in ITC and their distinct interactions prior to and during sensory processing.
format	article
author	Kyle Dunovan Mark E. Wheeler
author_facet	Kyle Dunovan Mark E. Wheeler
author_sort	Kyle Dunovan
title	Computational and neural signatures of pre and post-sensory expectation bias in inferior temporal cortex
title_short	Computational and neural signatures of pre and post-sensory expectation bias in inferior temporal cortex
title_full	Computational and neural signatures of pre and post-sensory expectation bias in inferior temporal cortex
title_fullStr	Computational and neural signatures of pre and post-sensory expectation bias in inferior temporal cortex
title_full_unstemmed	Computational and neural signatures of pre and post-sensory expectation bias in inferior temporal cortex
title_sort	computational and neural signatures of pre and post-sensory expectation bias in inferior temporal cortex
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/82981cc7ca3045de82fff158a2b8fcb3
work_keys_str_mv	AT kyledunovan computationalandneuralsignaturesofpreandpostsensoryexpectationbiasininferiortemporalcortex AT markewheeler computationalandneuralsignaturesofpreandpostsensoryexpectationbiasininferiortemporalcortex
_version_	1718388009302228992

Computational and neural signatures of pre and post-sensory expectation bias in inferior temporal cortex

Ejemplares similares