Misinforming pigeons in a DMTS task

1997 ◽  
Author(s):  
David Harper ◽  
Maryanne Garry
Keyword(s):  
Dmts Task

scholarly journals No evidence that LSD microdosing affects recall or the balance between distracter resistance and updating

2021 ◽  
Author(s):  
Sean James Fallon
Keyword(s):  
Working Memory ◽  
Computational Models ◽  
Small Sample ◽  
Controlled Study ◽  
Memory Recall ◽  
Or Efficiency ◽  
Double Blind ◽  
Match To Sample ◽  
States Of Consciousness ◽  
Dmts Task

AbstractThe effect of low doses (<=20 μg) of LSD on working memory, in the absence of altered states of consciousness, remain largely unexplored. Given its possible effects on serotonin 5-HT2A receptors and dopaminergic signalling, it could be hypothesised that LSD microdoses modulate working memory recall. Moreover, in line with computational models, LSD microdoses could exert antagonistic effects on distracter resistance and updating. Here, we tested this hypothesis in a randomised double-blind, placebo-controlled study comparing three different LSD microdoses (5 μg, 10μg and 20μg) with placebo. After capsule administration, participants performed a modified delay-match-to-sample (DMTS) dopamine-sensitive task. The standard DMTS task was modified to include novel items in the delay period between encoding and probe. These novel items either had to be ignored or updated into working memory. There was no evidence that LSD microdoses affected the accuracy or efficiency of working memory recall and there was no evidence for differential effects on ignoring or updating. Due to the small sample of participants, these results are preliminary and larger studies are required to establish whether LSD microdoses affect short-term recall.

The use of color versus black-and-white images in a Delayed-Match-To-Sample (DMTS) Task

2011 ◽  
Author(s):  
Amanda Niegowski ◽  
Tristen Nelson ◽  
Kathryn Huss ◽  
Chris Buchanan ◽  
Kara Gabriel
Keyword(s):  
Match To Sample ◽  
Black And White ◽  
Dmts Task

A Comparison of Visual- and Response-Generated Cues in a Spatial DMTS Task for Rats

1998 ◽  
Vol 63 (4) ◽  
pp. 635-642 ◽  
Author(s):  
R.B Graham ◽  
B.R Navey ◽  
E.W Bass ◽  
R.D Holsten ◽  
L.W Means
Keyword(s):  
Dmts Task

scholarly journals Parietal Neurons Represent Surface Orientation From the Gradient of Binocular Disparity

2000 ◽  
Vol 83 (5) ◽  
pp. 3140-3146 ◽  
Author(s):  
Masato Taira ◽  
Ken-Ichiro Tsutsui ◽  
Min Jiang ◽  
Kazuo Yara ◽  
Hideo Sakata
Keyword(s):  
Binocular Disparity ◽  
Three Dimensional ◽  
Surface Orientation ◽  
Orientation Tuning ◽  
Surface Perception ◽  
Order Processing ◽  
Input Signals ◽  
Dmts Task ◽  
Random Dot Stereogram ◽  
Almost All

In order to elucidate the neural mechanisms involved in the perception of the three-dimensional (3D) orientation of a surface, we trained monkeys to discriminate the 3D orientation of a surface from binocular disparity cues using a Go/No-go type delayed-matching-to-sample (DMTS) task and examined the properties of the surface-orientation–selective (SOS) neurons. We recorded 57 SOS neurons from the caudal part of the lateral bank of the intraparietal sulcus (area CIP) of three hemispheres of two Japanese monkeys ( Macaca fuscata). We tested 29 of 57 SOS neurons using the square plate of a solid figure stereogram (SFS) and random-dot stereogram (RDS) without perspective cues; almost all of the tested neurons (28/29) showed surface orientation selectivity for the SFS and/or the RDS without perspective cues. Eight of these 28 neurons (28.6%) showed selectivity for both the RDS and SFS, 7 (25.0%) were dominantly selective for the RDS, and 13 (46.4%) were dominantly selective for the SFS. These results suggest that neurons that show surface orientation tuning for the RDS without perspective cues compute surface orientation from the gradient of the binocular disparity given by the random-dot across the surface. On the other hand, neurons that show surface orientation tuning for the SFS without perspective cues may represent surface orientation primarily from the gradient of the binocular disparity along the contours. In conclusion, the SOS neurons in the area CIP are likely to operate higher order processing of disparity signals for surface perception by integrating the input signals from many disparity-sensitive neurons with different disparity tuning.

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