Integration and segmentation conflict during ensemble coding of shape.

2020 ◽  
Vol 46 (6) ◽  
pp. 593-609 ◽  
Author(s):  
Elric Elias ◽  
Timothy D. Sweeny
Keyword(s):  
2017 ◽  
Vol 17 (10) ◽  
pp. 624
Author(s):  
Matthew Robson ◽  
Romina Palermo ◽  
Linda Jeffery ◽  
Markus Neumann

1996 ◽  
Vol 75 (2) ◽  
pp. 153-162 ◽  
Author(s):  
R. Ratnam ◽  
C.J. Condon ◽  
A.S. Feng

Author(s):  
Siddhart Rajendran ◽  
John Maule ◽  
Anna Franklin ◽  
Michael A. Webster

2011 ◽  
Vol 467-469 ◽  
pp. 1291-1296
Author(s):  
Wen Wen Bai ◽  
Xin Tian

Working memory is one of important cognitive functions and recent studies demonstrate that prefrontal cortex plays an important role in working memory. But the issue that how neural activity encodes during working memory task is still a question that lies at the heart of cognitive neuroscience. The aim of this study is to investigate neural ensemble coding mechanism via average firing rate during working memory task. Neural population activity was measured simultaneously from multiple electrodes placed in prefrontal cortex while rats were performing a working memory task in Y-maze. Then the original data was filtered by a high-pass filtering, spike detection and spike sorting, spatio-temporal trains of neural population were ultimately obtained. Then, the average firing rates were computed in a selected window (500ms) with a moving step (125ms). The results showed that the average firing rate were higher during workinig memory task, along with obvious ensemble activity. Conclusion: The results indicate that the working memory information is encoded with neural ensemble activity.


2018 ◽  
Vol 111 ◽  
pp. 377-386 ◽  
Author(s):  
Matthew K. Robson ◽  
Romina Palermo ◽  
Linda Jeffery ◽  
Markus F. Neumann

Author(s):  
Tram T. N. Nguyen ◽  
Quoc C. Vuong ◽  
George Mather ◽  
Ian M. Thornton

2016 ◽  
Vol 16 (5) ◽  
pp. 11 ◽  
Author(s):  
Danielle Albers Szafir ◽  
Steve Haroz ◽  
Michael Gleicher ◽  
Steven Franconeri

2016 ◽  
Vol 28 (2) ◽  
pp. 193-203 ◽  
Author(s):  
Elric Elias ◽  
Michael Dyer ◽  
Timothy D. Sweeny

Crowds of emotional faces are ubiquitous, so much so that the visual system utilizes a specialized mechanism known as ensemble coding to see them. In addition to being proximally close, members of emotional crowds, such as a laughing audience or an angry mob, often behave together. The manner in which crowd members behave—in sync or out of sync—may be critical for understanding their collective affect. Are ensemble mechanisms sensitive to these dynamic properties of groups? Here, observers estimated the average emotion of a crowd of dynamic faces. The members of some crowds changed their expressions synchronously, whereas individuals in other crowds acted asynchronously. Observers perceived the emotion of a synchronous group more precisely than the emotion of an asynchronous crowd or even a single dynamic face. These results demonstrate that ensemble representation is particularly sensitive to coordinated behavior, and they suggest that shared behavior is critical for understanding emotion in groups.


2017 ◽  
Vol 10 (2) ◽  
pp. 152-159 ◽  
Author(s):  
Nicholas P. Alt ◽  
Brianna Goodale ◽  
David J. Lick ◽  
Kerri L. Johnson

Everyday, we visually perceive people not only in isolation but also in groups. Yet, visual person perception research typically focuses on inferences made about isolated individuals. By integrating social vision and visual ensemble coding, we present novel evidence that (a) perceivers rapidly (500 ms) extract a group’s ratio of men to women and (b) both explicit judgments of threat and indirect evaluative priming of threat increase as the ratio of men to women in a group increases. Furthermore, participants’ estimates of the number of men, and not perceived men’s coalition, mediate the relationship between the ratio of men to women and threat judgments. These findings demonstrate the remarkable efficiency of perceiving a group’s sex ratio and downstream evaluative inferences made from these percepts. Overall, this work advances person perception research into the novel domain of people perception, revealing how the visually perceived sex ratio of groups impacts social judgments.


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