scholarly journals High-Speed Videography Reveals How Honeybees Can Turn a Spatial Concept Learning Task Into a Simple Discrimination Task by Stereotyped Flight Movements and Sequential Inspection of Pattern Elements

2018 ◽  
Vol 9 ◽  
Author(s):  
Marie Guiraud ◽  
Mark Roper ◽  
Lars Chittka
1968 ◽  
Vol 12 (7) ◽  
pp. 295-296 ◽  
Author(s):  
Robert G. Gibby ◽  
David G. Crough ◽  
Samuel J. Twios

1969 ◽  
Vol 28 (3) ◽  
pp. 791-797 ◽  
Author(s):  
Sydney Joelson Segal ◽  
Pearl-Ellen Gordon

Perky's 1910 observation that mental images were indistinguishable from external stimuli is considered as two issues: (1) description of images which apparently resemble the unidentified stimulus, has been given, but not satisfactorily measured; (2) poorer detection of ambiguous signals while experiencing images, has been consistently demonstrated. While distraction may play some role, the critical finding was with sensitivity ( d′), which was highest in a simple discrimination task, intermediate when Ss were told both to describe imagery and detect the signals, and poorest when they lacked information that signals might be present during imaging and relied on retrospective judgments (Perky replication). In the intermediate task, alerting Ss to the signals by having them project the slides themselves, did not alter sensitivity or bias (Lx).


1999 ◽  
Vol 11 (1) ◽  
pp. 85-90 ◽  
Author(s):  
Alexandre Pouget ◽  
Sophie Deneve ◽  
Jean-Christophe Ducom ◽  
Peter E. Latham

Neurophysiologists are often faced with the problem of evaluating the quality of a code for a sensory or motor variable, either to relate it to the performance of the animal in a simple discrimination task or to compare the codes at various stages along the neuronal pathway. One common belief that has emerged from such studies is that sharpening of tuning curves improves the quality of the code, although only to a certain point; sharpening beyond that is believed to be harmful. We show that this belief relies on either problematic technical analysis or improper assumptions about the noise. We conclude that one cannot tell, in the general case, whether narrow tuning curves are better than wide ones; the answer depends critically on the covariance of the noise. The same conclusion applies to other manipulations of the tuning curve profiles such as gain increase.


1973 ◽  
Vol 5 (4) ◽  
pp. 355-356 ◽  
Author(s):  
Richard P. McGlynn ◽  
Connie Schick

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