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Relevant bibliographies by topics / Memory processing in monkeys

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Academic literature on the topic 'Memory processing in monkeys'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 February 2022

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Journal articles on the topic "Memory processing in monkeys"

1

Umeno, Marc M., and Michael E. Goldberg. "Spatial Processing in the Monkey Frontal Eye Field. II. Memory Responses." Journal of Neurophysiology 86, no. 5 (2001): 2344–52. http://dx.doi.org/10.1152/jn.2001.86.5.2344.

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Monkeys and humans can easily make accurate saccades to stimuli that appear and disappear before an intervening saccade to a different location. We used the flashed-stimulus task to study the memory processes that enable this behavior, and we found two different kinds of memory responses under these conditions. In the short-term spatial memory response, the monkey fixated, a stimulus appeared for 50 ms outside the neuron's receptive field, and from 200 to 1,000 ms later the monkey made a saccade that brought the receptive field onto the spatial location of the vanished stimulus. Twenty-eight of 48 visuomovement cells and 21/32 visual cells responded significantly under these circumstances even though they did not discharge when the monkey made the same saccade without the stimulus present or when the stimulus appeared and the monkey did not make a saccade that brought its spatial location into the receptive field. Response latencies ranged from 48 ms before the beginning of the saccade (predictive responses) to 272 ms after the beginning of the saccade. After the monkey made a series of 16 saccades that brought a stimulus into the receptive field, 21 neurons demonstrated a longer term, intertrial memory response: they discharged even on trials in which no stimulus appeared at all. This intertrial memory response was usually much weaker than the within-trial memory response, and it often lasted for over 20 trials. We suggest that the frontal eye field maintains a spatially accurate representation of the visual world that is not dependent on constant or continuous visual stimulation, and can last for several minutes.

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2

Fuster, Joaquín M. "More than working memory rides on long-term memory." Behavioral and Brain Sciences 26, no. 6 (2003): 737. http://dx.doi.org/10.1017/s0140525x03300160.

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Single-unit data from the cortex of monkeys performing working-memory tasks support the main point of the target article. Those data, however, also indicate that the activation of long-term memory is essential to the processing of all cognitive functions. The activation of cortical long-term memory networks is a key neural mechanism in attention (working memory is a form thereof), perception, memory acquisition and retrieval, intelligence, and language.

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3

Wright, A., H. Santiago, S. Sands, D. Kendrick, and R. Cook. "Memory processing of serial lists by pigeons, monkeys, and people." Science 229, no. 4710 (1985): 287–89. http://dx.doi.org/10.1126/science.9304205.

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4

Rapp, Peter R., Mary T. Kansky, and Jeffrey A. Roberts. "Impaired spatial information processing in aged monkeys with preserved recognition memory." NeuroReport 8, no. 8 (1997): 1923–28. http://dx.doi.org/10.1097/00001756-199705260-00026.

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5

Friedman, Harriet R., Janice D. Janas, and Patricia S. Goldman-Rakic. "Enhancement of Metabolic Activity in the Diencephalon of Monkeys Performing Working Memory Task: A 2-Deoxyglucose Study in Behaving Rhesus Monkeys." Journal of Cognitive Neuroscience 2, no. 1 (1990): 18–31. http://dx.doi.org/10.1162/jocn.1990.2.1.18.

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The 2-deoxyglucose (2-DG) method was used to study the effect of working memory processing on local cerebral glucose utilization (LCGU) in the diencephalon of the rhesus monkey. Monkeys were given [14C]2-DG while performing either one of three tasks that engaged working memory (WORK group) or one of two control tasks (CONT group) that used associative or non associative processes. The tasks of the WORK group—spatial delayed response, spatial delayed alternation, and delayed object alternation—are alike in that the information guiding a correct response changes from trial to trial and only the accurate record of the preceding response (or cue) is relevant for each successive trial. The CONT group, in contrast, performed on either a visual pattern discrimination test, in which the correct stimulus–response association was invariant across all trials and all test sessions, or on a sensorimotor task in which there was no explicit memory requirement. LCGU was examined in five diencephalic regions: the mammillary bodies, the anteroventral and anteromedial thalamus, and the parvocellular and magnocellular components of the mediodorsal thalamic nucleus. Comparisons across the two groups showed that mean LCGU in the anterior and mediodorsal thalamic nuclei was significantly elevated (by 12–16%) in the WORK group relative to the CONT group. Mean LCGU in the mammillary bodies also was higher in the WORK group than in the CONT group, but this difference was not significant. The present findings suggest that the anterior and mediodorsal thalamic nuclei represent diecephalic components of a neural network processing working memory. Together with our previous report on the enhancement of metabolic activity in the hippocampus and dentate gyrus, these results show that working memory has a wide-ranging influence on cerebral metabolism and emphasize the cooperative, rather than dissociable, roles of the hippocampus and medial thalamus in this function.

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6

Gulya, Michelle, Carolyn Rovee-Collier, Lissa Galluccio, and Amy Wilk. "Memory Processing of a Serial List by Young Infants." Psychological Science 9, no. 4 (1998): 303–7. http://dx.doi.org/10.1111/1467-9280.00060.

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Serial list learning is thought to be beyond the capabilities of infants before the end of their 1st year. In separate experiments with 3- and 6-month-olds, we studied infants' memory for a serial list using a modified serial probe recognition procedure that was originally developed for monkeys and a precuing procedure that was previously used with human adults. Infants were trained with a three-item list. One day later, they were precued with one list member and tested for recognition of another. When the precue specified valid order information, infants of both ages recognized the test item; when the precue specified invalid order information, infants of neither age did. These findings reveal that even very young infants can learn and remember the order of items on a serial list.

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7

Parker, Amanda, Edward Wilding, and Colin Akerman. "The von Restorff Effect in Visual Object Recognition Memory in Humans and Monkeys: The Role of Frontal/Perirhinal Interaction." Journal of Cognitive Neuroscience 10, no. 6 (1998): 691–703. http://dx.doi.org/10.1162/089892998563103.

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This study reports the development of a new, modified delayed matching to sample (DMS) visual recognition memory task that controls the relative novelty of test stimuli and can be used in human and nonhuman primates. We report findings from normal humans and unoperated monkeys, as well as three groups of operated monkeys. In the study phase of this modified paradigm, subjects studied lists of two-dimensional visual object stimuli. In the test phase each studied object was presented again, now paired with a new stimulus (a foil), and the subject had to choose the studied item. In some lists one study item (the novel or isolate item) and its associated foil differed from the others (the homogenous items) along one stimulus dimension (color). The critical experimental measure was the comparison of the visual object recognition error rates for isolate and homogenous test items. This task was initially administered to human subjects and unoperated monkeys. Error rates for both groups were reliably lower for isolate than for homogenous stimuli in the same list position (the von Restorff effect). The task was then administered to three groups of monkeys who had selective brain lesions. Monkeys with bilateral lesions of the amygdala and fornix, two structures that have been proposed to play a role in novelty and memory encoding, were similar to normal monkeys in their performance on this task. Two further groups— with disconnection lesions of the perirhinal cortex and either the prefrontal cortex or the magnocellular mediodorsal thalamus—showed no evidence of a von Restorff effect. These findings are not consistent with previous proposals that the hippocampus and amygdala constitute a general novelty processing network. Instead, the results support an interaction between the perirhinal and frontal cortices in the processing of certain kinds of novel information that support visual object recognition memory.

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8

Wright, Anthony A., Jacquelyne J. Rivera, Jeffrey S. Katz, and Jocelyne Bachevalier. "Abstract-concept learning and list-memory processing by capuchin and rhesus monkeys." Journal of Experimental Psychology: Animal Behavior Processes 29, no. 3 (2003): 184–98. http://dx.doi.org/10.1037/0097-7403.29.3.184.

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9

Bongard, Sylvia, and Andreas Nieder. "Basic mathematical rules are encoded by primate prefrontal cortex neurons." Proceedings of the National Academy of Sciences 107, no. 5 (2010): 2277–82. http://dx.doi.org/10.1073/pnas.0909180107.

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Mathematics is based on highly abstract principles, or rules, of how to structure, process, and evaluate numerical information. If and how mathematical rules can be represented by single neurons, however, has remained elusive. We therefore recorded the activity of individual prefrontal cortex (PFC) neurons in rhesus monkeys required to switch flexibly between “greater than” and “less than” rules. The monkeys performed this task with different numerical quantities and generalized to set sizes that had not been presented previously, indicating that they had learned an abstract mathematical principle. The most prevalent activity recorded from randomly selected PFC neurons reflected the mathematical rules; purely sensory- and memory-related activity was almost absent. These data show that single PFC neurons have the capacity to represent flexible operations on most abstract numerical quantities. Our findings support PFC network models implementing specific “rule-coding” units that control the flow of information between segregated input, memory, and output layers. We speculate that these neuronal circuits in the monkey lateral PFC could readily have been adopted in the course of primate evolution for syntactic processing of numbers in formalized mathematical systems.

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10

Ringo, J. L. "Brevity of processing in a mnemonic task." Journal of Neurophysiology 73, no. 4 (1995): 1712–15. http://dx.doi.org/10.1152/jn.1995.73.4.1712.

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1. A burst of from one to four current pulses of 0.2 ms at 100 Hz was administered bilaterally to medial temporal lobe areas while monkeys worked in a delayed matching-to-sample visual memory task. The brief electrical stimulation was used as a probe to determine when, around the 20 or 50 ms sample presentation, the disruption was most severe. 2. Stimulation within about 200 ms of the sample image onset severely perturbed the animals' ability subsequently to recognize that image. Identical stimulation at other times did not. 3. Thus, the processing during encoding, that is accessible to the implanted medial temporal lobe electrodes, appears to occur only in a brief interval associated with receipt of the sensory input.

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