Measurement of MEG Evoked by Visual Discrimination Task

Biomag 96 ◽  
2000 ◽  
pp. 813-816
Author(s):  
T. Kumagai ◽  
T. Takeda ◽  
H. Endo
Keyword(s):  
Visual Discrimination ◽  
Discrimination Task ◽  
Visual Discrimination Task

Activity of single neurons in the monkey amygdala during performance of a visual discrimination task

1992 ◽  
Vol 67 (6) ◽  
pp. 1447-1463 ◽  
Author(s):  
K. Nakamura ◽  
A. Mikami ◽  
K. Kubota
Keyword(s):  
Visual Stimulus ◽  
Visual Discrimination ◽  
Discrimination Task ◽  
Discharge Rate ◽  
Visual Stimuli ◽  
Delay Period ◽  
Visual Discrimination Task ◽  
Single Neurons ◽  
Visual Neurons ◽  
Human Faces

1. The activity of single neurons was recorded extracellularly from the monkey amygdala while monkeys performed a visual discrimination task. The monkeys were trained to remember a visual stimulus during a delay period (0.5-3.0 s), to discriminate a new visual stimulus from the stimulus, and to release a lever when the new stimulus was presented. Colored photographs (human faces, monkeys, foods, and nonfood objects) or computer-generated two-dimensional shapes (a yellow triangle, a red circle, etc.) were used as visual stimuli. 2. The activity of 160 task-related neurons was studied. Of these, 144 (90%) responded to visual stimuli, 13 (8%) showed firing during the delay period, and 9 (6%) responded to the reward. 3. Task-related neurons were categorized according to the way in which various stimuli activated the neurons. First, to evaluate the proportion of all tested stimuli that elicited changes in activity of a neuron, selectivity index 1 (SI1) was employed. Second, to evaluate the ability of a neuron to discriminate a stimulus from another stimulus, SI2 was employed. On the basis of the calculated values of SI1 and SI2, neurons were classified as selective and nonselective. Most visual neurons were categorized as selective (131/144), and a few were characterized as nonselective (13/144). Neurons active during the delay period were also categorized as selective visual and delay neurons (6/13) and as nonselective delay neurons (7/13). 4. Responses of selective visual neurons had various temporal and stimulus-selective properties. Latencies ranged widely from 60 to 300 ms. Response durations also ranged widely from 20 to 870 ms. When the natures of the various effective stimuli were studied for each neuron, one-fourth of the responses of these neurons were considered to reflect some categorical aspect of the stimuli, such as human, monkey, food, or nonfood object. Furthermore, the responses of some neurons apparently reflected a certain behavioral significance of the stimuli that was separate from the task, such as the face of a particular person, smiling human faces, etc. 5. Nonselective visual neurons responded to a visual stimulus, regardless of its nature. They also responded in the absence of a visual stimulus when the monkey anticipated the appearance of the next stimulus. 6. Selective visual and delay neurons fired in response to particular stimuli and throughout the subsequent delay periods. Nonselective delay neurons increased their discharge rates gradually during the delay period, and the discharge rate decreased after the next stimulus was presented. 7. Task-related neurons were identified in six histologically distinct nuclei of the amygdala.(ABSTRACT TRUNCATED AT 400 WORDS)

scholarly journals Volatiles emitted from the leaves of Laurus nobilis L. improve vigilance performance in visual discrimination task

2011 ◽  
Vol 32 (1) ◽  
pp. 19-28 ◽  
Author(s):  
Eri Matsubara ◽  
Mio Fukagawa ◽  
Tsuyoshi Okamoto ◽  
Atsuko Fukuda ◽  
Chikako Hayashi ◽  
...  
Keyword(s):  
Visual Discrimination ◽  
Discrimination Task ◽  
Visual Discrimination Task ◽  
Laurus Nobilis ◽  
Vigilance Performance

scholarly journals Food and water restriction lead to differential learning behaviors in a head-fixed two-choice visual discrimination task for mice

PLoS ONE ◽  
2018 ◽  
Vol 13 (9) ◽  
pp. e0204066 ◽  
Author(s):  
Pieter M. Goltstein ◽  
Sandra Reinert ◽  
Annet Glas ◽  
Tobias Bonhoeffer ◽  
Mark Hübener
Keyword(s):  
Visual Discrimination ◽  
Discrimination Task ◽  
Visual Discrimination Task ◽  
Water Restriction ◽  
Learning Behaviors ◽  
Differential Learning

Nonvisual Motor Learning Improves Visual Motion Perception: Evidence From Violating the Two-Thirds Power Law

2010 ◽  
Vol 104 (3) ◽  
pp. 1612-1624 ◽  
Author(s):  
I.A.M. Beets ◽  
F. Rösler ◽  
K. Fiehler
Keyword(s):  
Motor Learning ◽  
Velocity Profile ◽  
Power Law ◽  
Visual Discrimination ◽  
Discrimination Task ◽  
Visual Motion ◽  
Visual Discrimination Task ◽  
Control Group ◽  
Motor Training ◽  
Training Groups

Few studies have reported direct effects of motor learning on visual perception, especially when using novel movements for the motor system. Atypical motor behaviors that violate movement constraints provide an excellent opportunity to study action-to-perception transfer. In our study, we passively trained blindfolded participants on movements violating the 2/3 power law. Before and after motor training, participants performed a visual discrimination task in which they decided whether two consecutive movements were same or different. For motor training, we randomly assigned the participants to two motor training groups or a control group. The motor training group experienced either a weak or a strong elliptic velocity profile on a circular trajectory that matched one of the visual test stimuli. The control group was presented with linear trajectories unrelated to the viewed movements. After each training session, participants actively reproduced the movement to assess motor learning. The group trained on the strong elliptic velocity profile reproduced movements with increasing elliptic velocity profiles while circular geometry remained constant. Furthermore, both training groups improved in visual discrimination ability for the learned movement as well as for highly similar movements. Participants in the control group, however, did not show any improvements in the visual discrimination task nor did participants who did not acquire the trained movement. The present results provide evidence for a transfer from action to perception which generalizes to highly related movements and depends on the success of motor learning. Moreover, under specific conditions, it seems to be possible to acquire movements deviating from the 2/3 power law.

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