Dynamic representation of multidimensional object properties in the human brain DOI Creative Commons
Lina Teichmann, Martin N. Hebart, Chris I. Baker

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Сен. 9, 2023

Abstract Our visual world consists of an immense number unique objects and yet, we are easily able to identify, distinguish, interact, reason about the things see within a few hundred milliseconds. This requires that integrate focus on wide array object properties support diverse behavioral goals. In current study, used large-scale comprehensively sampled stimulus set developed analysis approach determine if could capture how rich, multidimensional representations unfold over time in human brain. We modelled time-resolved MEG signals evoked by viewing single presentations tens thousands images based millions judgments. Extracting behavior-derived dimensions from similarity judgments, data-driven guide our understanding neural representation space found every dimension is reflected signal. Studying temporal profiles for different courses fell into two broad types, with either distinct early peak (∼125 ms) or slow rise late (∼300 ms). Further, effects were stable across participants, contrast later which showed more variability, suggesting peaks may carry stimulus-specific participant-specific information. Dimensions appeared be primarily those conceptual, conceptual variable people. Together, these data provide comprehensive account brain form basis rich nature vision.

Язык: Английский

Dynamic face-related eye movement representations in the human ventral pathway DOI Creative Commons
Zhongbin Su, Xiaolin Zhou, Stefan Pollmann

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2025, Номер unknown

Опубликована: Янв. 13, 2025

Abstract Multiple brain areas along the ventral pathway have been known to represent face images. Here, in a magnetoencephalography (MEG) experiment, we show dynamic representations of face-related eye movements absence image perception. Participants followed dot presented on uniform background, movement which represented gaze tracks acquired previously during their free-viewing and house pictures. We found dominant role stream representing tracks, starting from orbitofrontal cortex (OFC) anterior temporal lobe (ATL), extending medial occipitotemporal cortex. Our findings that represents used explore faces, by top-down prediction category OFC ATL may guide, via or directly, perception

Язык: Английский

Процитировано

0
Origins of food selectivity in human visual cortex DOI
Margaret Henderson, Michael J. Tarr, Leila Wehbe

и другие.

Trends in Neurosciences, Год журнала: 2025, Номер unknown

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
Dynamic face-related eye movement representations in the human ventral pathway DOI
Lihui Wang, Zhongbin Su, Xiaolin Zhou

и другие.

Опубликована: Апрель 21, 2025

Abstract Multiple brain areas along the ventral pathway have been known to represent face images. Here, in a magnetoencephalography (MEG) experiment, we show dynamic representations of face-related eye movements absence image perception. Participants followed dot presented on uniform background, movement which represented gaze tracks acquired previously during their free-viewing and house pictures. We found dominant role stream representing tracks, starting from orbitofrontal cortex (OFC) anterior temporal lobe (ATL), extending medial occipitotemporal cortex. Our findings that represents used explore faces, by top-down prediction category OFC ATL may guide, via or directly, perception

Язык: Английский

Процитировано

0
Primary manipulation knowledge of objects is associated with the functional coupling of pMTG and aIPS DOI Creative Commons
Akbar Hussain, Jon Walbrin, Marija Tochadse

и другие.

Neuropsychologia, Год журнала: 2024, Номер 205, С. 109034 - 109034

Опубликована: Ноя. 12, 2024

Correctly using hand-held tools and manipulable objects typically relies not only on sensory motor-related processes, but also centrally conceptual knowledge about how are used (e.g. grasping the handle of a kitchen knife rather than blade avoids injury). A wealth fMRI connectivity-related evidence demonstrates that contributions from both ventral dorsal stream areas important for accurate tool use. Here, we investigate combined role in representing "primary" manipulation - is, is hypothesized to be central importance day-to-day object We operationalize primary by extracting first dimension multi-dimensional scaling solution over behavioral judgement task where subjects arranged set 80 based their overall similarity. then relate this representational time-course correlations between areas. Our results show functional coupling posterior middle temporal gyrus (pMTG) anterior intraparietal sulcus (aIPS) uniquely related objects, effect more pronounced require precision grasping. reason due precision-grasp requiring ventral/temporal information relating shape, material function allow correct finger placement controlled manipulation. These demonstrate across these service grasp-related behavior.

Язык: Английский

Процитировано

1
Object Representations Reflect Hierarchical Scene Structure and Depend on High-Level Visual, Semantic, and Action Information DOI
Aylin Kallmayer,

Leila Zacharias,

Luisa Jetter

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0
The organization of high-level visual cortex is aligned with visual rather than abstract linguistic information DOI Creative Commons
Adva Shoham,

Rotem Broday-Dvir,

Rafael Malach

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Ноя. 12, 2024

Recent studies show that linguistic representations predict the response of high-level visual cortex to images, suggesting an alignment between and information. Here, using iEEG, we tested hypothesis such is limited textual descriptions content image would not appear for their abstract descriptions. We generated two types images famous people places: visual-text , describing image, abstract-text based on Wikipedia definitions, extracted relational-structure from a large language model. used these representations, along with representation deep neural network, iEEG responses images. Neural relational-structures in were similarly predicted by visual-images visual-text, but representations. These results demonstrate visual-language visually grounded language.

Язык: Английский

Процитировано

0
Behaviorally-relevant features of observed actions dominate cortical representational geometry in natural vision DOI Creative Commons
Jane Han, Vassiki Chauhan,

Rebecca Philip

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Ноя. 26, 2024

Abstract We effortlessly extract behaviorally relevant information from dynamic visual input in order to understand the actions of others. In current study, we develop and test a number models better neural representational geometries supporting action understanding. Using fMRI, measured brain activity as participants viewed diverse set 90 different video clips depicting social nonsocial real-world contexts. developed five behavioral using arrangement tasks: two reflecting judgments purpose (transitivity) content (sociality) depicted stimuli; three (people, objects, scene) still frames stimuli. evaluated how well these predict geometry tested them against semantic based on verb nonverb embeddings gaze motion energy. Our results revealed that similarity reflect than or throughout much cortex. The sociality transitivity particular captured large portion unique variance observation network, extending into regions not typically associated with perception, like ventral temporal Overall, our findings expand network indicate observed are predominant cortical representation.

Язык: Английский

Процитировано

0
Dynamic representation of multidimensional object properties in the human brain DOI Creative Commons
Lina Teichmann, Martin N. Hebart, Chris I. Baker

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Сен. 9, 2023

Abstract Our visual world consists of an immense number unique objects and yet, we are easily able to identify, distinguish, interact, reason about the things see within a few hundred milliseconds. This requires that integrate focus on wide array object properties support diverse behavioral goals. In current study, used large-scale comprehensively sampled stimulus set developed analysis approach determine if could capture how rich, multidimensional representations unfold over time in human brain. We modelled time-resolved MEG signals evoked by viewing single presentations tens thousands images based millions judgments. Extracting behavior-derived dimensions from similarity judgments, data-driven guide our understanding neural representation space found every dimension is reflected signal. Studying temporal profiles for different courses fell into two broad types, with either distinct early peak (∼125 ms) or slow rise late (∼300 ms). Further, effects were stable across participants, contrast later which showed more variability, suggesting peaks may carry stimulus-specific participant-specific information. Dimensions appeared be primarily those conceptual, conceptual variable people. Together, these data provide comprehensive account brain form basis rich nature vision.

Язык: Английский

Процитировано

1