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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"

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Umeno, Marc M., and Michael E. Goldberg. "Spatial Processing in the Monkey Frontal Eye Field. II. Memory Responses." Journal of Neurophysiology 86, no. 5 (November 1, 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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Fuster, Joaquín M. "More than working memory rides on long-term memory." Behavioral and Brain Sciences 26, no. 6 (December 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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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 (July 19, 1985): 287–89. http://dx.doi.org/10.1126/science.9304205.

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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 (May 1997): 1923–28. http://dx.doi.org/10.1097/00001756-199705260-00026.

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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 (January 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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Gulya, Michelle, Carolyn Rovee-Collier, Lissa Galluccio, and Amy Wilk. "Memory Processing of a Serial List by Young Infants." Psychological Science 9, no. 4 (July 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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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 (November 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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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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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 (January 19, 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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Ringo, J. L. "Brevity of processing in a mnemonic task." Journal of Neurophysiology 73, no. 4 (April 1, 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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Dissertations / Theses on the topic "Memory processing in monkeys"

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Feigenbaum, J. D. "Information processing in the hippocampus and parahippocampal gyrus of the behaving primate." Thesis, University of Oxford, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.235039.

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Scott, Anne Grete. "Monkeys, movements, and memories: Behavioral sequences and short-term memory in aged monkeys." Diss., The University of Arizona, 1990. http://hdl.handle.net/10150/185189.

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Six young and six old squirrel monkeys were tested on two different short-term memory tasks. One was a two-choice problem, the other a nine-choice problem. A baseline, or one-choice, problem was also included. A video camera recorded all behaviors displayed by the monkeys during testing. Behaviors coded were turning, aggression, displacement, exploratory, huddling, orienting, locomotion, screen activities, and visual scanning. Also recorded was correct or incorrect choice and whether the animal showed evidence of seeing the cue stimulus. Old animals committed more errors during both phases of the experiment. Older animals were also more likely to engage in active behaviors, such as turning, whereas young animals were more likely to manifest less active behaviors, such as visual scanning and orienting. Young animals were also more likely to see the stimulus. A path analytic procedure was used to determine direct effects of age on performance and indirect effects mediated through behaviors manifested prior to the choice. For the two-choice problem, approximately half of the age effects on performance were attributable to indirect effects. For the nine-choice problem almost three quarters of the age effects on performance were attributable to indirect effects. These findings indicate that age differences in short-term memory performance are not direct effects of age alone. The age effect also occurs because age affects the behaviors of the monkeys and that these behaviors have a large effect on subsequent memory performance.

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BAILEY, CATHERINE SUZANNE. "DEVELOPMENT OF SPATIAL MEMORY STRATEGIES IN SQUIRREL MONKEYS (COGNITIVE MAP)." Diss., The University of Arizona, 1987. http://hdl.handle.net/10150/184043.

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When different development rates for psychological processes such as those in spatial memory exist, they can be linked to relevant brain areas via their different developmental rates. The hippocampus and caudate nucleus have been implicated in allocentric and egocentric spatial behavior changes found in youth and old age. Variation in allocentric and egocentric behavior in squirrel monkeys due to age was examined using a quadruple T-maze and animals in three age groups: 0.3 - 4 year olds, (n = 12), 5 - 10 year olds (n=12) and 11 - 17 year olds (n = 12). Subjects were trained to go to one of three goals in the maze from one of two training release locations. When they reached criterion for consistent responding, they were given probe trials pseudorandomly interspersed with the training trials in which they were released from one of the three other locations. The 12 test sessions were divided into three phases consisting of four sessions each. A 3 (age groups) x 3 (probe sites) x 3 (phases) mixed design ANOVA with repeated measures on the second and third factors revealed only a significant effect for probe site (F(1,33) = 14.55, p < .01) sing the Geisser-Greenhouse correction for heterogeneity of variance. The pattern of responding most clearly resembled route and was stable over testing. Age was not significant although there was a trend toward random behavior in young and more route-like behavior in older animals. Intrinsic maze cues effects on responding were examined. These data were analyzed using a 3 (age groups) x 2 (training groups) x 3 (probe sites) mixed design ANOVA with repeated measures on the last factor, and again revealed only a significant probe site effect (F(1,33) = 14.55, p < .01). Thus cues intrinsic to the maze did not affect response pattern. Only 13 subjects clearly used one of the three spatial strategies: 6 route, 3 direction, and 4 place. Of the remaining 23 animals 11 were young, 5 were adult and 7 were mature. Two used a variation of place, three used a combination of strategies, four were idiosyncratic, 10 used proto-route (route-like, but not systematic enough to be route) and three were random. The use of place strategy by animals as young as 4 and as old as approximately 17 implicates hippocampal changes occurring outside this age range.

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Harrison, Kathryn. "Skills used in food processing by vervet monkeys, Cecropithecus aethiops." Thesis, University of St Andrews, 1997. http://hdl.handle.net/10023/2636.

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The principle objective of this study was to describe and record all the gathering and processing skills of vervet monkeys for a variety of different foods. The study was conducted on two troops of vervet monkeys living in the Palmiet Valley, Natal, South Africa. There was sufficient data to analyze the processing of four foods of differing complexity; termites, leaf shoots, sugarcane and fruit. Milton (1988) proposed that the intellectual difficulties of finding and processing food led to the evolution of intelligence. In the only study of food processing skill, Byrne and Byrne (1993) showed that gorillas use a hierarchical organization perhaps reflecting imitation at the program-level. The question to be asked in this study was, would vervets also organize their processing into a few techniques for specific foods and would it then be possible to identify learning mechanisms used by the monkeys? The current literature suggests that monkeys use simple solutions to their foraging problems, there is no evidence for imitation of feeding skills in monkeys. At the most detailed level of analysis, grip types used in the processing of foods were described. Existing definitions in the literature were not adequate to explain the monkeys' hand use, and new definitions were added. High individual idiosyncrasy was a feature of grip usage across all four foods, although firm conclusions are not possible because of the known effects of sample size. Cluster analysis was considered the most appropriate method to look at individual variation in grip usage. There was an age effect for leaf shoots and sugarcane, with juveniles restricting their usage to the necessary core grips. The hand preferences for individuals across tasks gave no support for the theory of the evolution of laterality presented by MacNeilage et al. (1987). There was a low degree of individual preference for five out of six tasks, with only termite feeding showing a hand preference. There was some evidence for a right hand reaching, left hand manipulation preference, opposite to MacNeilage's prediction. There was an age effect in direction and strength for two tasks, adults having a stronger left hand preference in contrast to a weaker right hand preference in juveniles for leaf shoots and large fruit. Matrices of the transitional probabilities between two elements, were used to construct the common pathways of processing skill for each individual. Flow diagrams were then created to represent the minimal decision processes used by the monkeys. The diagrams were used to compare individuals' choice of pathways. Cluster analysis was used to analyze pathway choice in detail; none of a variety of independent variables could explain the high individual variation. Whether whole foods or just parts of foods were eaten did explain some of the variance for sugarcane and fruit. The most parsimonious explanation is that social enhancement resulting in trial and error learning best described individuals' acquisition of processing skill, although a number of other factors may explain the observed results.

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LANDAU, VIRGINIA ILENE. "THE ADAPTATION OF NEW WORLD MONKEYS TO NEW ENVIRONMENTAL SITUATIONS: FOOD ACQUISITION AND FOOD PROCESSING BEHAVIORS." Diss., The University of Arizona, 1987. http://hdl.handle.net/10150/184076.

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Food cleaning behavior has been observed among laboratory squirrel monkeys. A Wilcoxon signed-ranks test showed that significantly more cleaning behavior occurred when hard monkey chow pellets and soft fruit were coated with edible debris. Monkeys removed fewer pieces of fruit from a food crock containing fruit coated with edible debris in a timed test. A principal component analysis of the food cleaning behaviors showed two underlying correlated factors. The first factor was the use of the body to clean food. The second factor was the use of the environment to clean food. Two groups of squirrel monkeys, one without previous learners and one with previous learners, were subjects in a fishing study. The presence of previous learners in the social group was not significant for monkeys fishing in water filled crocks. But there was a significant difference in the number of fishing attempts made by the No Previous Learners Group when fishing in wading pools. The Previous Learners group did not make significantly more fishing attempts fishing in wading pools than in crocks. A significant difference was observed in fishing attempts during Phase 1 and Phase 2 of the wading pool experiment for both groups. All monkeys in the group fishing experiments ate fish when it could be obtained. Monkeys who did not learn to fish successfully learned alternative behaviors to obtain fish. The Previous Learners group in the wading pool experiment were subjects in a more difficult fishing test. Significantly fewer fishing attempts were made but the number of monkeys that caught fish was larger. Caged squirrel monkeys scored a lower percentage of fishing attempts than squirrel monkeys living in a social group. While Cebus monkeys caught fish, unlike squirrel monkeys, they did not attempt to eat them.

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Scott, Anne G. (Anne Grete) 1949. "Effects of response bias on learning and memory tasks in squirrel monkeys." Thesis, The University of Arizona, 1987. http://hdl.handle.net/10150/276647.

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Six squirrel monkeys were tested on short-term memory tasks assessing ability to suppress perseverative responses that had been previously reinforced. Each trial was divided into three parts: Initial Preference Assay (IPA), Bias-Conditioning (BC), and Reversal Conditioning (RC), and alternated between two conditions: experimental and control. Strength of response bias (based on choices of response during IPA) exceeded chance levels for each monkey. Eighty-four percent of responses to BC of the experimental trials were made to the response loci chosen in IPA even though that response was not rewarded. Monkeys made 38% correct responses during RC but shifted from making most errors during control trials in the beginning of the experiment to making most errors during experimental trials by the end of the experiment. Monkeys had developed a strategy of persevering from IPA to BC and then shifting to the other, not previously chosen window on RC, which led to correct responses in the experimental trials. (Abstract shortened with permission of author.)

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Brand, Arie Nicolaas. "Memory, information processing and depression." Maastricht : Maastricht : Rijksuniversiteit Limburg ; University Library, Maastricht University [Host], 1987. http://arno.unimaas.nl/show.cgi?fid=5363.

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Nyhus, Erika Marie. "Perceptual processing in recognition memory." Diss., Connect to online resource, 2006. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1439459.

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Howells, Glen. "Emotional processing and episodic memory." Thesis, Bournemouth University, 2013. http://eprints.bournemouth.ac.uk/20965/.

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The research reported within this dissertation investigates how individuals’ capacity to assimilate emotionally disruptive events is associated with particular features of episodic and autobiographical memory formation. It is inspired by Rachman’s (1980, 2001) formulation of emotional processing, and his subsequent proposals to explore the general mechanisms by which emotional disruptions are overcome. The specific rationale is informed by multilevel emotion theories, theories of post-traumatic stress disorder, and models of emotional processing. The research considered whether individuals who exhibit signs of a poor emotional processing style tend to encode events generally in a sensory-perceptual manner, with comparative deficits in their capacity to conceptually process data. Methodologically, the studies identify poor and effective emotional processors by using Baker et al.’s (2009) emotional processing scale as a grouping measure. The studies explore differences between groups of poor and effective emotional processors’ performance over a range of memory tasks drawn from episodic and autobiographical memory studies to detect evidence for a sensory- perceptual style of event and stimulus processing which is presumed to be indicated by a surfeit of perceptual details, heightened reported vividness, and a relative lack in conceptual ordering, narrative coherence and verbal indexing. Three general categories of memory are explored: memory for experimentally presented item lists, memory for extended narrative presentations and memory for naturally occurring events retained in long-term autobiographical memory representations. The evidence suggests a tendency to process in a sensory-perceptual manner amongst poor emotional processors for both experimental item lists, as well as in long term autobiographical memory investigations, whereas few differences between groups emerged for the study of narrative recollection. There was little evidence, by contrast, that effective emotional processors were superior at the conceptual processing of events or data. These results are discussed in terms of providing confirmation for information processing accounts of emotional disruptions and disorders which stress the aetiological significance in psychopathological conditions of how events are encoded, rendering such events accessible to broader autobiographical memory bases and conceptual elaboration. Furthermore, the importance of establishing more robust and testable definitions of conceptual processing is stressed.

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Benda, Brian J. "Neural correlates of motor learning/memory in primary motor cortex of macaque monkeys." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/9920.

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Books on the topic "Memory processing in monkeys"

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Sea monkeys: A memory book. Berkeley, CA: Soft Skull Press, 2012.

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Memory made simple: "obtaining perfect memory". North Charleston, S.C: Createspace Independent Pub., 2012.

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M, Young Allen, and Wong, Nicole (Nicole E.), eds. No monkeys, no chocolate. Watertown, MA: Charlesbridge, 2013.

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Memory storage patterns in parallel processing. Boston: Kluwer Academic, 1987.

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Mace, Mary E. Memory Storage Patterns in Parallel Processing. Boston, MA: Springer US, 1987.

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Mace, Mary E. Memory Storage Patterns in Parallel Processing. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-2001-2.

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Fred forgets. New York: HarperCollins, 2016.

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Klapp, Stuart T. Memory and processing limits in decision-making. Brooks Air Force Base, Tex: Air Force Human Resources Laboratory, Air Force Systems Command, 1986.

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Hell, Adriana Geertruida van. Cross-language processing and bilingual memory organization. [Amsterdam: Universiteit van Amsterdam], 1998.

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Hindmarch, Ian, and Helmut Ott, eds. Benzodiazepine Receptor Ligands, Memory and Information Processing. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-73288-1.

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Book chapters on the topic "Memory processing in monkeys"

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Kvatinsky, Shahar. "Real Processing-In-Memory with Memristive Memory Processing Unit." In Security, Privacy, and Applied Cryptography Engineering, 5–8. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-35869-3_2.

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Berrendorf, Rudolf. "Memory access in shared virtual memory." In Parallel Processing: CONPAR 92—VAPP V, 785–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/3-540-55895-0_488.

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Özçep, Özgür Lütfü. "Bounded-Memory Stream Processing." In Lecture Notes in Computer Science, 377–90. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00111-7_32.

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Mohammad, Baker. "Embedded Memory Hierarchy." In Analog Circuits and Signal Processing, 29–35. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8881-1_3.

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Mohammad, Baker. "Embedded Memory Verification." In Analog Circuits and Signal Processing, 69–74. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8881-1_7.

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Baddeley, A. "Measuring Memory." In Benzodiazepine Receptor Ligands, Memory and Information Processing, 12–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-73288-1_2.

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Müller-Preuss, P. "Correlates of Forward Masking in Squirrel Monkeys." In Acoustical Signal Processing in the Central Auditory System, 449–52. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4419-8712-9_41.

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Sutton, John. "3. Language, memory, and concepts of memory: Semantic diversity and scientific psychology." In Human Cognitive Processing, 41–65. Amsterdam: John Benjamins Publishing Company, 2007. http://dx.doi.org/10.1075/hcp.21.05sut.

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Mueller, John H., and W. Burt Thompson. "Stereotyping and Face Memory." In Aspects of Face Processing, 163–69. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4420-6_16.

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Nambu, Atsushi, Nobuhiko Hatanaka, Sayuki Takara, Yoshihisa Tachibana, and Masahiko Takada. "Information Processing in the Striatum of Behaving Monkeys." In Advances in Behavioral Biology, 41–48. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-1-4419-0340-2_3.

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Conference papers on the topic "Memory processing in monkeys"

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Menon, Jaikrishnan, Lorenzo De Carli, Vijayraghavan Thiruvengadam, Karthikeyan Sankaralingam, and Cristian Estan. "Memory processing units." In 2014 IEEE Hot Chips 26 Symposium (HCS). IEEE, 2014. http://dx.doi.org/10.1109/hotchips.2014.7478840.

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Kvatinsky, Shahar. "Real Processing-in-Memory with Memristive Memory Processing Unit (mMPU)." In 2019 IEEE 30th International Conference on Application-specific Systems, Architectures and Processors (ASAP). IEEE, 2019. http://dx.doi.org/10.1109/asap.2019.00-10.

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Ben Hur, Rotem, and Shahar Kvatinsky. "Memristive memory processing unit (MPU) controller for in-memory processing." In 2016 IEEE International Conference on the Science of Electrical Engineering (ICSEE). IEEE, 2016. http://dx.doi.org/10.1109/icsee.2016.7806045.

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Wang, Xi, John D. Leidel, and Yong Chen. "Memory Coalescing for Hybrid Memory Cube." In ICPP 2018: 47th International Conference on Parallel Processing. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3225058.3225062.

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Castro, Daniel, Paolo Romano, and Joao Barreto. "Hardware Transactional Memory Meets Memory Persistency." In 2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS). IEEE, 2018. http://dx.doi.org/10.1109/ipdps.2018.00046.

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6

Leidel, John D. "Bit Contiguous Memory Allocation for Processing In Memory." In SC '17: The International Conference for High Performance Computing, Networking, Storage and Analysis. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3145617.3145618.

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7

Xu, Sheng, Ying Wang, Yinhe Han, and Xiaowei Li. "PIMCH: Cooperative memory prefetching in processing-in-memory architecture." In 2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC). IEEE, 2018. http://dx.doi.org/10.1109/aspdac.2018.8297307.

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8

Imani, Mohsen, Saransh Gupta, and Tajana Rosing. "Digital-based processing in-memory." In MEMSYS '19: The International Symposium on Memory Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3357526.3357551.

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9

Gibson, Edward. "Memory capacity and sentence processing." In the 28th annual meeting. Morristown, NJ, USA: Association for Computational Linguistics, 1990. http://dx.doi.org/10.3115/981823.981829.

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10

Kang, Hongbo, Phillip B. Gibbons, Guy E. Blelloch, Laxman Dhulipala, Yan Gu, and Charles McGuffey. "The Processing-in-Memory Model." In SPAA '21: 33rd ACM Symposium on Parallelism in Algorithms and Architectures. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3409964.3461816.

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Reports on the topic "Memory processing in monkeys"

1

Klapp, Stuart T. Memory and Processing Limits in Decision-Making. Fort Belvoir, VA: Defense Technical Information Center, May 1986. http://dx.doi.org/10.21236/ada168559.

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2

Cook, Jeanine. PIMS: Memristor-Based Processing-in-Memory-and-Storage. Office of Scientific and Technical Information (OSTI), February 2018. http://dx.doi.org/10.2172/1424888.

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3

Chiarulli, Donald M., and Steven P. Levitan. Low Level Signal Processing for the Optoelectronic Memory System Interface. Fort Belvoir, VA: Defense Technical Information Center, September 2002. http://dx.doi.org/10.21236/ada407888.

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4

Brinson, L. C. Novel Processing for Creating 3D Architectured Porous Shape Memory Alloy. Fort Belvoir, VA: Defense Technical Information Center, March 2013. http://dx.doi.org/10.21236/ada586593.

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5

Carew, Thomas J. A Parallel Processing Hypothesis for Short-Term and Long-Term Memory in Aplysia. Fort Belvoir, VA: Defense Technical Information Center, April 1994. http://dx.doi.org/10.21236/ada284101.

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6

Woltz, Dan J., and Michael K. Gardner. Memory for Processing Sequence in Cognitive Skills and its Role in Performance Errors. Fort Belvoir, VA: Defense Technical Information Center, July 2000. http://dx.doi.org/10.21236/ada386833.

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7

Murphy, Richard C. Building more powerful less expensive supercomputers using Processing-In-Memory (PIM) LDRD final report. Office of Scientific and Technical Information (OSTI), September 2009. http://dx.doi.org/10.2172/993898.

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8

Tavik, Gregory C. Testing the One-Port Random Access Memory (1PRAM) Module of TRW's CPUAX Signal Processing Superchip. Fort Belvoir, VA: Defense Technical Information Center, April 1991. http://dx.doi.org/10.21236/ada234127.

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9

Kumar, Prem. Instrumentation to Characterize Cache-Memory Buffers and Regenerators for Optically-Digital Communication and Processing at the Quantum Limit. Fort Belvoir, VA: Defense Technical Information Center, January 2000. http://dx.doi.org/10.21236/ada387445.

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