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):  
Ensemble Coding

scholarly journals Ensemble Coding of Face Identity in Congenital Prosopagnosia

2017 ◽  
Vol 17 (10) ◽  
pp. 624
Author(s):  
Matthew Robson ◽  
Romina Palermo ◽  
Linda Jeffery ◽  
Markus Neumann
Keyword(s):  
Ensemble Coding ◽  
Face Identity ◽  
Congenital Prosopagnosia

Neural ensemble coding of target identity in echolocating bats

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

scholarly journals Ensemble coding of color and luminance contrast

2020 ◽  
Author(s):  
Siddhart Rajendran ◽  
John Maule ◽  
Anna Franklin ◽  
Michael A. Webster
Keyword(s):  
Luminance Contrast ◽  
Ensemble Coding

Neural Ensemble Coding during Working Memory Task in Rat Prefrontal Cortex

2011 ◽  
Vol 467-469 ◽  
pp. 1291-1296
Author(s):  
Wen Wen Bai ◽  
Xin Tian
Keyword(s):  
Working Memory ◽  
Prefrontal Cortex ◽  
Firing Rate ◽  
Memory Task ◽  
Neural Population ◽  
Average Firing Rate ◽  
Population Activity ◽  
Ensemble Coding ◽  
Neural Ensemble ◽  
Ensemble Activity

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.

Ensemble coding of face identity is present but weaker in congenital prosopagnosia

2018 ◽  
Vol 111 ◽  
pp. 377-386 ◽  
Author(s):  
Matthew K. Robson ◽  
Romina Palermo ◽  
Linda Jeffery ◽  
Markus F. Neumann
Keyword(s):  
Ensemble Coding ◽  
Face Identity ◽  
Congenital Prosopagnosia

scholarly journals Ensemble coding of crowd speed using biological motion

2020 ◽  
Author(s):  
Tram T. N. Nguyen ◽  
Quoc C. Vuong ◽  
George Mather ◽  
Ian M. Thornton
Keyword(s):  
Biological Motion ◽  
Ensemble Coding

scholarly journals Four types of ensemble coding in data visualizations

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

Ensemble Perception of Dynamic Emotional Groups

2016 ◽  
Vol 28 (2) ◽  
pp. 193-203 ◽  
Author(s):  
Elric Elias ◽  
Michael Dyer ◽  
Timothy D. Sweeny
Keyword(s):  
Visual System ◽  
Dynamic Properties ◽  
Emotional Faces ◽  
Ensemble Coding ◽  
Ensemble Perception ◽  
Dynamic Faces

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.

Threat in the Company of Men: Ensemble Perception and Threat Evaluations of Groups Varying in Sex Ratio

2017 ◽  
Vol 10 (2) ◽  
pp. 152-159 ◽  
Author(s):  
Nicholas P. Alt ◽  
Brianna Goodale ◽  
David J. Lick ◽  
Kerri L. Johnson
Keyword(s):  
Sex Ratio ◽  
Person Perception ◽  
The Novel ◽  
Social Judgments ◽  
Evaluative Priming ◽  
Social Vision ◽  
Ensemble Coding ◽  
Ensemble Perception ◽  
The Relationship

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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