An Exploration of Rapid Serial Visual Presentation for Automotive Applications

2012 ◽  
Vol 5 (2) ◽  
pp. 520-527
Author(s):  
Michael Tschirhart ◽  
Kathleen Ku
Keyword(s):  
Rapid Serial Visual Presentation ◽  
Visual Presentation ◽  
Automotive Applications

Conceptual short-term memory (CSTM) supports core claims of Christiansen and Chater

2016 ◽  
Vol 39 ◽  
Author(s):  
Mary C. Potter
Keyword(s):  
Working Memory ◽  
Rapid Serial Visual Presentation ◽  
Language Comprehension ◽  
Short Term Memory ◽  
Visual Presentation ◽  
Long Term Memory ◽  
Short Term ◽  
Term Memory ◽  
Use Of Knowledge

AbstractRapid serial visual presentation (RSVP) of words or pictured scenes provides evidence for a large-capacity conceptual short-term memory (CSTM) that momentarily provides rich associated material from long-term memory, permitting rapid chunking (Potter 1993; 2009; 2012). In perception of scenes as well as language comprehension, we make use of knowledge that briefly exceeds the supposed limits of working memory.

scholarly journals Properties of Shape Tuning of Macaque Inferior Temporal Neurons Examined Using Rapid Serial Visual Presentation

2007 ◽  
Vol 97 (4) ◽  
pp. 2900-2916 ◽  
Author(s):  
Wouter De Baene ◽  
Elsie Premereur ◽  
Rufin Vogels
Keyword(s):  
Rapid Serial Visual Presentation ◽  
Population Analysis ◽  
Visual Presentation ◽  
Stimulus Range ◽  
High Rate ◽  
Neuronal Responses ◽  
Standard Testing ◽  
Complex Shapes ◽  
Shape Tuning ◽  
Ordinal Level

We used rapid serial visual presentation (RSVP) to examine the tuning of macaque inferior temporal cortical (IT) neurons to five sets of 25 shapes each that varied systematically along predefined shape dimensions. A comparison of the RSVP technique using 100-ms presentations with that using a longer duration showed that shape preference can be determined with RSVP. Using relatively complex shapes that vary along relatively simple shape dimensions, we found that the large majority of neurons preferred extremes of the shape configuration, extending the results of a previous study using simpler shapes and a standard testing paradigm. A population analysis of the neuronal responses demonstrated that, in general, IT neurons can represent the similarities among the shapes at an ordinal level, extending a previous study that used a smaller number of shapes and a categorization task. However, the same analysis showed that IT neurons do not faithfully represent the physical similarities among the shapes. The responses to the two-part shapes could be predicted, virtually perfectly, from the average of the responses to the respective two parts presented in isolation. We also showed that IT neurons adapt to the stimulus distribution statistics. The neural shape discrimination improved when a shape set with a narrower stimulus range was presented, suggesting that the tuning of IT neurons is not static but adapts to the stimulus distribution statistics, at least when stimulated at a high rate with a restricted set of stimuli.

Sign in / Sign up

Export Citation Format

Share Document