Discrimination of Word-Like Compound Visual Stimuli by Monkeys

1977 ◽  
Vol 29 (4) ◽  
pp. 589-596 ◽  
Author(s):  
David Gaffan

In Experiment I, two monkeys solved a successive visual discrimination in which the four positive stimuli were the visual arrays RIM, LID, RAD and LAM while the four negative stimuli were RID, LIM, RAM and LAD. In Experiment II the same monkeys first learned a discrimination where the positive stimuli were pairs of letters (e.g. OB and AK) while the negative stimulus was the letter I; in a subsequent generalization test with all four possible pairings of the stimulus elements that had been positive during training (i.e. with OB, AK, OK and AB) the monkeys responded more strongly to the pairs that had been present in initial training. These results were discussed in relation to the theoretical analysis of configurational cues in animal discrimination learning and to the mechanism underlying visual discrimination of words by people.

1973 ◽  
Vol 25 (1) ◽  
pp. 112-123 ◽  
Author(s):  
Jean M. Mandler

Rats were given a multiple stimulus discrimination, with either a constant positive stimulus combined with several negative stimuli or a constant negative stimulus combined with several positive stimuli. Choice data in transfer tests indicated that the discrimination had taken place on the basis of the constant stimulus alone and that the constant stimulus was equally effective in mediating transfer whether it had been positive or negative. While the multiple stimuli did not control choice behaviour, the latency data indicated that some analysis of them had taken place. Analyses of discrepancies in choice and latency data suggest that the two types of measure reflect different processes involved in discrimination learning.


1968 ◽  
Vol 11 (4) ◽  
pp. 677-692 ◽  
Author(s):  
Robert H. Brookshire

Nine aphasic and eight nonaphasic hospital patients were presented with a discrimination learning problem in which they had to learn differential motor responses to visual stimuli. Subjects first were reinforced for emitting response A in the presence of stimulus A, and response B in the presence of stimulus B. Then they were placed in a reversal situation in which they were reinforced for emitting response B in the presence of stimulus A, and response A in the presence of stimulus B. Results indicated that aphasic subjects had more difficulty than nonaphasies in both discrimination tasks. However, responses of most aphasic patients who did not learn the discrimination were not random but reflected strategies which resulted in substantial numbers of reinforcements. Aphasic subjects tended not to improve upon initial performance within treatment sessions, unless either stimuli or consequences for responses were changed. Clinical evidence is presented which indicates that subject impairments which appear in the experimental task also appear in subsequent clinical activities.


1971 ◽  
Vol 3 (4) ◽  
pp. 187-188 ◽  
Author(s):  
Don White ◽  
Paul Spong ◽  
Norm Cameron ◽  
John Bradford

1992 ◽  
Vol 67 (6) ◽  
pp. 1447-1463 ◽  
Author(s):  
K. Nakamura ◽  
A. Mikami ◽  
K. Kubota

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)


2015 ◽  
Vol 27 (4) ◽  
pp. 842-851 ◽  
Author(s):  
Paul E. Stillman ◽  
Jay J. Van Bavel ◽  
William A. Cunningham

Organisms must constantly balance appetitive needs with vigilance for potential threats. Recent research suggests that the amygdala may play an important role in both of these goals. Although the amygdala plays a role in processing motivationally relevant stimuli that are positive or negative, negative information often appears to carry greater weight. From a functional perspective, this may reflect the fact that threatening stimuli generally require action, whereas appetitive stimuli can often be safely ignored. In this study, we examine whether amygdala activation to positive stimuli may be more sensitive to task goals than negative stimuli, which are often related to self-preservation concerns. During fMRI, participants were presented with two images that varied on valence and extremity and were instructed to focus on one of the images. Results indicated that negative stimuli elicited greater amygdala activity regardless of task relevance. In contrast, positive stimuli only led to a relative increase in amygdala activity when they were task relevant. This suggests that the amygdala may be more responsive to negative stimuli regardless of their relevance to immediate goals, whereas positive stimuli may only elicit amygdala activity when they are relevant to the perceivers' goals. This pattern of valence asymmetry in the human amygdala may help balance approach-related goal pursuit with chronic self-preservation goals.


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