15 papers · ranked by Valyu relevance
J. Almeida, A. Fracasso, S. Kristensen, D. Valério + 4 more
Understanding how we recognize everyday objects requires unravelling the variables that govern the way we think about objects and the way in which our representations are organized neurally. A major hypothesis is that the organization of object knowledge follows key object-related dimensions, analogously to how sensory…
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…
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…
Daniel Kaiser, Marius V. Peelen
To optimize processing, the human visual system utilizes regularities present in naturalistic visual input. One of these regularities is the relative position of objects in a scene (e.g., a sofa in front of a television), with behavioral research showing that regularly positioned objects are easier to perceive and to…
Niklas Müller, H. Steven Scholte, Iris I. A. Groen
In real-world vision, the human brain needs to process large amounts of information to effectively interact with its environment. It is well established that our visual system has specialized regions to process information efficiently, such as scene-, face-, and object-selective areas, which can be uncovered using…
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…
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…
Saba Charmi Motlagh, Marc Joanisse, Boyu Wang, Yalda Mohsenzadeh
Our brain excels at recognizing objects, even when they flash by in a rapid sequence. However, the neural processes determining whether a target image in a rapid sequence can be recognized or not remained elusive. We used electroencephalography (EEG) to investigate the temporal dynamics of brain processes that shape…
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…
Nathan Faivre, Julien Dubois, Naama Schwartz, Liad Mudrik
Integrating objects with their context is a key step in the interpretation of complex visual scenes. Humans can do this very quickly, yet the brain mechanisms that mediate this ability are not yet understood. Here, we used functional Magnetic Resonance Imaging (fMRI) to measure brain activity while participants viewed…
Hoi Ming Ken Yip, Leo Y. T. Cheung, Vince S. H. Ngan, Yetta Kwailing Wong + 1 more
Recent studies showed that task demand affects object representations in higher-level visual areas and beyond, but not so much in earlier areas. There are, however, limitations in those studies including the relatively weak manipulation of task due to the use of familiar real-life objects, the low temporal resolution…
Kosuke Nishida, Isamu Motoyoshi
Visual object and scene recognition have been extensively studied, but separately. We here propose that the two processes could be intrinsically linked in the neural system. We developed a Joint Residual Variational Autoencoder (JRVAE) with two networks: VAE1 for coarse scene recognition and VAE2 for object recognition…
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…