scholarly journals Equal-magnitude size-weight illusions experienced within and between object categories

2016 ◽  
Vol 16 (3) ◽  
pp. 25 ◽  
Author(s):  
Gavin Buckingham ◽  
Melvyn A. Goodale ◽  
Justin A. White ◽  
David A. Westwood
Keyword(s):  
Object Categories ◽  
Weight Illusions

Virtual Weight Illusion: Weight Perception of Virtual Objects Using Weight Illusions

2021 ◽  
Author(s):  
Akihiro Maehigashi ◽  
Akira Sasada ◽  
Miki Matsumuro ◽  
Fumihisa Shibata ◽  
Asako Kimura ◽  
...  
Keyword(s):  
Weight Perception ◽  
Virtual Objects ◽  
Weight Illusion ◽  
Weight Illusions

scholarly journals Attention flexibly alters tuning for object categories

2013 ◽  
Vol 17 (8) ◽  
pp. 368-370 ◽  
Author(s):  
Jiye G. Kim ◽  
Sabine Kastner
Keyword(s):  
Object Categories

scholarly journals Preparatory Activity in Posterior Temporal Cortex Causally Contributes to Object Detection in Scenes

2015 ◽  
Vol 27 (11) ◽  
pp. 2117-2125 ◽  
Author(s):  
Reshanne R. Reeder ◽  
Francesca Perini ◽  
Marius V. Peelen
Keyword(s):  
Visual Cortex ◽  
Object Detection ◽  
Activity Patterns ◽  
Temporal Cortex ◽  
Relevant Information ◽  
Visual Selective Attention ◽  
Object Categories ◽  
Preparatory Attention ◽  
Preparatory Activity ◽  
Early Visual Cortex

Theories of visual selective attention propose that top–down preparatory attention signals mediate the selection of task-relevant information in cluttered scenes. Neuroimaging and electrophysiology studies have provided correlative evidence for this hypothesis, finding increased activity in target-selective neural populations in visual cortex in the period between a search cue and target onset. In this study, we used online TMS to test whether preparatory neural activity in visual cortex is causally involved in naturalistic object detection. In two experiments, participants detected the presence of object categories (cars, people) in a diverse set of photographs of real-world scenes. TMS was applied over a region in posterior temporal cortex identified by fMRI as carrying category-specific preparatory activity patterns. Results showed that TMS applied over posterior temporal cortex before scene onset (−200 and −100 msec) impaired the detection of object categories in subsequently presented scenes, relative to vertex and early visual cortex stimulation. This effect was specific to category level detection and was related to the type of attentional template participants adopted, with the strongest effects observed in participants adopting category level templates. These results provide evidence for a causal role of preparatory attention in mediating the detection of objects in cluttered daily-life environments.

scholarly journals Object categories and expertise: Is the basic level in the eye of the beholder?

1991 ◽  
Vol 23 (3) ◽  
pp. 457-482 ◽  
Author(s):  
James W Tanaka ◽  
Marjorie Taylor
Keyword(s):  
Object Categories ◽  
Basic Level

On naming a giraffe a zebra: Picture naming errors across different object categories.

1993 ◽  
Vol 19 (2) ◽  
pp. 243-259 ◽  
Author(s):  
Melanie Vitkovitch ◽  
Glyn W. Humphreys ◽  
Toby J. Lloyd-Jones
Keyword(s):  
Picture Naming ◽  
Object Categories

scholarly journals Decoding visual object categories from temporal correlations of ECoG signals

NeuroImage ◽  
2014 ◽  
Vol 90 ◽  
pp. 74-83 ◽  
Author(s):  
Kei Majima ◽  
Takeshi Matsuo ◽  
Keisuke Kawasaki ◽  
Kensuke Kawai ◽  
Nobuhito Saito ◽  
...  
Keyword(s):  
Visual Object ◽  
Temporal Correlations ◽  
Object Categories

scholarly journals Visual search for object categories is predicted by the representational architecture of high-level visual cortex

2017 ◽  
Vol 117 (1) ◽  
pp. 388-402 ◽  
Author(s):  
Michael A. Cohen ◽  
George A. Alvarez ◽  
Ken Nakayama ◽  
Talia Konkle
Keyword(s):  
Visual Cortex ◽  
Visual Search ◽  
Visual System ◽  
Visual Processing ◽  
Search Task ◽  
Visual Search Task ◽  
Visual Object ◽  
Neural Responses ◽  
Object Categories ◽  
High Level

Visual search is a ubiquitous visual behavior, and efficient search is essential for survival. Different cognitive models have explained the speed and accuracy of search based either on the dynamics of attention or on similarity of item representations. Here, we examined the extent to which performance on a visual search task can be predicted from the stable representational architecture of the visual system, independent of attentional dynamics. Participants performed a visual search task with 28 conditions reflecting different pairs of categories (e.g., searching for a face among cars, body among hammers, etc.). The time it took participants to find the target item varied as a function of category combination. In a separate group of participants, we measured the neural responses to these object categories when items were presented in isolation. Using representational similarity analysis, we then examined whether the similarity of neural responses across different subdivisions of the visual system had the requisite structure needed to predict visual search performance. Overall, we found strong brain/behavior correlations across most of the higher-level visual system, including both the ventral and dorsal pathways when considering both macroscale sectors as well as smaller mesoscale regions. These results suggest that visual search for real-world object categories is well predicted by the stable, task-independent architecture of the visual system. NEW & NOTEWORTHY Here, we ask which neural regions have neural response patterns that correlate with behavioral performance in a visual processing task. We found that the representational structure across all of high-level visual cortex has the requisite structure to predict behavior. Furthermore, when directly comparing different neural regions, we found that they all had highly similar category-level representational structures. These results point to a ubiquitous and uniform representational structure in high-level visual cortex underlying visual object processing.

Sign in / Sign up

Export Citation Format

Share Document