15 papers · ranked by Valyu relevance
Martin N Hebart, Brett B Bankson, Assaf Harel, Chris I Baker + 2 more
'Radoslaw M Cichy' 'Jody C Culham'] Despite the importance of an observer’s goals in determining how a visual object is categorized, surprisingly little is known about how humans process the task context in which objects occur and how it may interact with the processing of objects. Using magnetoencephalography (MEG)…
Alexandra Krugliak, Dejan Draschkow, Melissa L.-H. Võ, Alex Clarke
We typically encounter objects in a context, for example, a sofa in a living room or a car in the street, and this context influences how we recognize objects. Objects that are congruent with a scene context are recognised faster and more accurately than objects that are incongruent. Furthermore, objects that are…
Alexandra Krugliak, Dejan Draschkow, Melissa L.-H. Võ, Alex Clarke
Objects that are congruent with a scene are recognised more efficiently than objects that are incongruent. Further, semantic integration of incongruent objects elicits a stronger N300/N400 EEG component. Yet, the time course and mechanisms of how contextual information supports access to semantic object information is…
Talia Brandman, Marius V. Peelen
Real-world scenes consist of objects, defined by local information, and scene background, defined by global information. While objects and scenes are processed in separate pathways in visual cortex, their processing interacts. Specifically, previous studies have shown that scene context makes blurry objects look…
Talia Brandman, Marius V. Peelen
We internally represent the structure of our surroundings even when there is little layout information available in the visual image, such as when walking through fog or darkness. One way in which we disambiguate such scenes is through object cues; for example, seeing a boat supports the inference that the foggy scene…
M.N. Hebart, B.B. Bankson, A. Harel, C.I. Baker + 1 more
Object recognition is commonly described as a feedforward process, yet the tasks we carry out often affect what information in visual stimuli is diagnostic and may influence their processing. Surprisingly little is known about how task context is processed and when and how it interacts with the emerging representation…
Karim Rajaei, Yalda Mohsenzadeh, Reza Ebrahimpour, Seyed-Mahdi Khaligh-Razavi
Core object recognition, the ability to rapidly recognize objects despite variations in their appearance, is largely solved through the feedforward processing of visual information. Deep neural networks are shown to achieve human-level performance in these tasks, and explain the primate brain representation. On the…
Karim Rajaei, Yalda Mohsenzadeh, Reza Ebrahimpour, Seyed-Mahdi Khaligh-Razavi + 1 more
'Seyed-Mahdi Khaligh-Razavi' 'Leyla Isik'] Core object recognition, the ability to rapidly recognize objects despite variations in their appearance, is largely solved through the feedforward processing of visual information. Deep neural networks are shown to achieve human-level performance in these tasks, and explain…
Arif ul Maula Khan, Ralf Mikut, Markus Reischl, Jie Tian
The parametrization of automatic image processing routines is time-consuming if a lot of image processing parameters are involved. An expert can tune parameters sequentially to get desired results. This may not be productive for applications with difficult image analysis tasks, e.g. when high noise and shading levels…
Miles Wischnewski, Marius V. Peelen
Objects can be recognized based on their intrinsic features, including shape, color, and texture. In daily life, however, such features are often not clearly visible, for example when objects appear in the periphery, in clutter, or at a distance. Interestingly, object recognition can still be highly accurate under…
Martin N. Hebart, Adam H. Dickter, Alexis Kidder, Wan Y. Kwok + 4 more
'Anna Corriveau' 'Caitlin Van Wicklin' 'Chris I. Baker' 'Fabian A. Soto'] In recent years, the use of a large number of object concepts and naturalistic object images has been growing strongly in cognitive neuroscience research. Classical databases of object concepts are based mostly on a manually curated set of…
Olivia S. Cheung, Isabel Gauthier
Objects contain rich visual and conceptual information, but do these two types of information interact? Here, we examine whether visual and conceptual information interact when observers see novel objects for the first time. We then address how this interaction influences the acquisition of perceptual expertise. We…
Elissa M. Aminoff, Tess Durham
Objects are fundamental to scene understanding. Scenes are defined by embedded objects and how we interact with them. Paradoxically, scene processing in the brain is typically discussed in contrast to object processing. Using the BOLD5000 dataset (11), we examined whether objects within a scene predicted the neural…
Frauke Hildebrandt, Jan Lonnemann, Ramiro Glauer
It counts as empirically proven that infants can individuate objects. Object individuation is assumed to be fundamental in the development of infants’ ontology within the object-first account. It crucially relies on an object-file (OF) system, representing both spatiotemporal (“where”) and categorical (“what”)…
Eelke Spaak, Marius V. Peelen, Floris P. de Lange
Visual scene context is well-known to facilitate the recognition of scene-congruent objects. Interestingly, however, according to the influential theory of predictive coding, scene congruency should lead to reduced (rather than enhanced) processing of congruent objects, compared to incongruent ones, since congruent…