Relevant bibliographies by topics / Spatial learning and memory

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Spatial learning and memory'

Author: Grafiati
Published: 4 June 2021
Last updated: 29 January 2023

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Journal articles on the topic "Spatial learning and memory"

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Healy, Susan D., and T. Andrew Hurly. "Spatial Learning and Memory in Birds." Brain, Behavior and Evolution 63, no. 4 (2004): 211–20. http://dx.doi.org/10.1159/000076782.

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Knight, Matthew James, and Michael Tlauka. "Map learning and working memory: Multimodal learning strategies." Quarterly Journal of Experimental Psychology 71, no. 6 (January 1, 2018): 1405–18. http://dx.doi.org/10.1080/17470218.2017.1326954.

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The current research investigated whether learning spatial information from a map involves different modalities, which are managed by discrete components in working memory. In four experiments, participants studied a map either while performing a simultaneous interference task (high cognitive load) or without interference (low cognitive load). The modality of interference varied between experiments. Experiment 1 used a tapping task (visuospatial), Experiment 2 a backward counting task (verbal), Experiment 3 an articulatory suppression task (verbal) and Experiment 4 an n-back task (central executive). Spatial recall was assessed in two tests: directional judgements and map drawing. Cognitive load was found to affect spatial recall detrimentally regardless of interference modality. The findings suggest that when learning maps, people use a multimodal learning strategy, utilising resources from all components of working memory.
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Vorhees, C. V., and M. T. Williams. "Assessing Spatial Learning and Memory in Rodents." ILAR Journal 55, no. 2 (January 1, 2014): 310–32. http://dx.doi.org/10.1093/ilar/ilu013.

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Cassilhas, Ricardo C., Sergio Tufik, and Marco Túlio de Mello. "Physical exercise, neuroplasticity, spatial learning and memory." Cellular and Molecular Life Sciences 73, no. 5 (December 8, 2015): 975–83. http://dx.doi.org/10.1007/s00018-015-2102-0.

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Robinson, Lianne, Susan McKillop-Smith, Nicola L. Ross, Roger G. Pertwee, Robert E. Hampson, Bettina Platt, and Gernot Riedel. "Hippocampal endocannabinoids inhibit spatial learning and limit spatial memory in rats." Psychopharmacology 198, no. 4 (November 30, 2007): 551–63. http://dx.doi.org/10.1007/s00213-007-1012-8.

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Lange-Küttner, Christiane. "Array Effects, Spatial Concepts, or Information Processing Speed." Swiss Journal of Psychology 72, no. 4 (January 2013): 197–217. http://dx.doi.org/10.1024/1421-0185/a000113.

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A reaction time/accuracy experiment investigated the development of visual memory for object shape and location in 6–7- and 8–9-year-old children and adults (N = 72) in three array types: (1) an empty screen, (2) a frame delineating a region, and (3) a grid with individually delineated places. A maximized learning design was used. Explicit array boundaries in the frame and in the grid facilitated place memory in both children and adults, while place memory in the empty screen was less correct, slower, and did not improve. Children’s visual memory was initially low, but learning during the task resulted in better object than place memory. Like the children at the end of the session, adults showed better object than place memory at the beginning of the task. They subsequently also improved their object memory, but doubled their place memory performance. Children with object-region binding showed better place memory and more systematic learning effects that were specific to arrays. However, neither array boundaries nor spatial binding concepts explained the absence of place learning in children. Instead, children tried to prevent proactive shape interference in the repeated memory sets at the cost of place learning, while adults did not.
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Solari, Nicola, and Balázs Hangya. "Cholinergic modulation of spatial learning, memory and navigation." European Journal of Neuroscience 48, no. 5 (August 19, 2018): 2199–230. http://dx.doi.org/10.1111/ejn.14089.

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Anguera, Joaquin A., Patricia A. Reuter-Lorenz, Daniel T. Willingham, and Rachael D. Seidler. "Contributions of Spatial Working Memory to Visuomotor Learning." Journal of Cognitive Neuroscience 22, no. 9 (September 2010): 1917–30. http://dx.doi.org/10.1162/jocn.2009.21351.

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Previous studies of motor learning have described the importance of cognitive processes during the early stages of learning; however, the precise nature of these processes and their neural correlates remains unclear. The present study investigated whether spatial working memory (SWM) contributes to visuomotor adaptation depending on the stage of learning. We tested the hypothesis that SWM would contribute early in the adaptation process by measuring (i) the correlation between SWM tasks and the rate of adaptation, and (ii) the overlap between the neural substrates of a SWM mental rotation task and visuomotor adaptation. Participants completed a battery of neuropsychological tests, a visuomotor adaptation task, and an SWM task involving mental rotation, with the latter two tasks performed in a 3.0-T MRI scanner. Performance on a neuropsychological test of SWM (two-dimensional mental rotation) correlated with the rate of early, but not late, visuomotor adaptation. During the early, but not late, adaptation period, participants showed overlapping brain activation with the SWM mental rotation task, in right dorsolateral prefrontal cortex and the bilateral inferior parietal lobules. These findings suggest that the early, but not late, phase of visuomotor adaptation engages SWM processes.
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Liu, Si-Cheng, Ming Zhang, Ping Gan, Hao-Fei Yu, Cai-Feng Ding, Rong-Ping Zhang, Zhi-Yong He, and Wei-Yan Hu. "Wip1 phosphatase deficiency impairs spatial learning and memory." Biochemical and Biophysical Research Communications 533, no. 4 (December 2020): 1309–14. http://dx.doi.org/10.1016/j.bbrc.2020.10.010.

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Wender, Karl F., Monika Wagener-Wender, and Rainer Rothkege. "Measures of spatial memory and routes of learning." Psychological Research 59, no. 4 (February 1997): 269–78. http://dx.doi.org/10.1007/bf00439304.

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Dissertations / Theses on the topic "Spatial learning and memory"

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Robinson, Lianne. "Cannabinoid involvement in spatial learning and memory processes." Thesis, University of Aberdeen, 2004. http://digitool.abdn.ac.uk/R?func=search-advanced-go&find_code1=WSN&request1=AAIU193926.

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Previous studies have revealed that cannabinoids have detrimental effects on learning and memory in humans and animals. Infusion of the exogenous Cannabinoid agonists including D9-tetrahydrocannabinol (D9-THC), HU210 and WIN-55, 212-2 (WIN-2) in animals has consistently been shown to induce deficits in spatial learning and memory. CB1 receptors are evident in the hippocampus and prefrontal cortex; brain areas involved in spatial learning and memory processes. The main aim of this study was to determine the mechanisms underlying these Cannabinoid-induced effects on spatial learning and memory. Lister Hooded rats were used to study the effects of cannabinoids in a sequence of experiments using the water maze. A novel paradigm to test place preference in the water maze was developed and it was revealed that D9-THC induced place aversion whereas WIN-2 had no effect. These aversive properties of D9-THC along with the non-spatial, non-CB1receptor effects of HU210 in reference memory may confound the results obtained for spatial learning and memory. By contrast, WIN-2 deficits would be a genuine result of spatial impairments. WIN-2 induced differential effects on working and reference memory. Reversal with the CB1 antagonist AM281 and vanilloid receptor (VR1) antagonist Iodo-RTX suggest that the WIN-2 effects are mediated via a non-CB 1/non-VR1 receptor located in the hippocampus. The WIN-2 effects could also be mediated via a possible interaction with the cholinergic system, as the cholinesterase inhibitor Rivastigmine was able to reverse the deficit. In addition to exogenous cannabinoids, using the CB1 antagonist SR141716A (SR) observed that endocannabinoids also impaired spatial learning and memory, with SR acting like an inverse agonist. In conclusion both cannabinoids and endocannabinoids impair spatial learning and memory in the water maze, and these deficits may occur via interactions with other neurotransmitter systems. However, whether these actions are mediated via the CB1 or a non-CB1 mechanism still remains unclear.
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Naylor, Susan J. "Spatial context effects on temporal and spatial factors in map memory /." Thesis, Connect to Dissertations & Theses @ Tufts University, 1999.

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Thesis (Ph.D.)--Tufts University, 1999.
Adviser: Holly A. Taylor. Submitted to the Dept. of Psychology. Includes bibliographical references (leaves 59-61). Access restricted to members of the Tufts University community. Also available via the World Wide Web;
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Dunn, T. J. "The role of expertise, semantics, and learning in spatial memory." Thesis, Nottingham Trent University, 2012. http://irep.ntu.ac.uk/id/eprint/114/.

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This research investigates the mechanisms that underpin object location memory. It approaches this endeavour by examining a recently reported phenomenon of spatial memory, that of exclusivity. Exclusivity states that given the opportunity to encode or retrieve two spatial memories, only one memory is relied upon for object location. This implies that two memories for where an object is located are not better than one. The role of limited capacity has been implicated in the exclusive processing of multiple objects. Accordingly, the aim of this thesis is to explore possible methods that enhance cognitive capacity in a way to overcome exclusivity. These methods include expertise, semantics and learning. It was proposed that expertise would allow for holistic processing of information and it would therefore increase the likelihood of spatial memory integration. Also, the connection between two related spatial memories was manipulated through the employment of semantic categories to aid in paired memory recognition. In addition to this, a learning paradigm was used which allowed for repeated exposure of spatial information over a 5 and 10 day period. The results of these studies indicate a failure to overcome exclusivity. This suggests that exclusive processing is a robust feature of spatial memory. The findings offer a number of important insights for the field. They provide two important accounts for the processing of multiple object locations. One argues memories are encoded and retreival in a strategic manner to avoid interference. The second proposes fragments of memories are encoded and constructively drawn upon at recall. This thesis also puts forward a unique explanation of how multiple object locations are learnt over time.
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Hirsch, Dale A. "THE ROLE OF LEARNING MODALITY UPON LONG-TERM SPATIAL MEMORY." Cleveland State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=csu1367532907.

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Niewoehner, Burkhard. "The role of hippocampal synaptic plasticity in spatial memory and learning." Thesis, University of Oxford, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.422670.

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Hodgson, Zoe G. "The role of steroid hormones in avian spatial learning and memory abilities." Thesis, University of Edinburgh, 2003. http://hdl.handle.net/1842/14082.

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I used the great tit (Parus major) and zebra finch (Taeniopygia guttata) as model species to determine whether steroid hormones have effects on avian spatial learning and memory. To address this I took a four-pronged approach: First, as spatial ability is to some extent reliant on appropriate cue use, I examined cue preference in the great tit. In a one-trial associative memory task birds were trained to a compound stimulus where both colour and location cues could be used to locate a reward.  By dissociating the cues on probe trials I was able to determine which cues were controlling the birds’ food-finding behaviour. The overall distribution of choices was significantly different from random but did not differ between the sexes. Both sexes exhibited a preference for the location cue over the colour cue. Second, I exploited the existence of a well-characterised memory task that tests spatial and non-spatial memory. This was an operant conditioning delayed-non-matching-to-sample spatial memory task, presented on computer-controlled touch screen. I tested for sex differnces in performance in birds maintained under a breeding season (i.e. long-day) photoperiod. No sex differences in ability to perform either the spatial or visual memory task were found. Third, I used a non-invasive technique (oral administration) to manipulate hormone levels (testosterone (T), 5α-dihydrotesterone and oestradiol, the latter two being T metabolites) and determined their effect on learning and memory. Although T improved spatial learning and memory abilities in females in Experiment 1, no treatment effects were found in males or in Experiment 2. However, T increased response latencies (time taken to peck a touch screen image) in both sexes, suggesting a beneficial role of T on memory retention. My fourth approach was to use zebra finches selectively bred for differing peak (stress-induced) CORT levels to determine whether CORT affected avian spatial memory in a similar way to that seen in mammals.
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Stone, Erik E. Skubic Marge. "Adaptive temporal difference learning of spatial memory in the water maze task." Diss., Columbia, Mo. : University of Missouri--Columbia, 2009. http://hdl.handle.net/10355/6586.

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The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file. Title from PDF of title page (University of Missouri--Columbia, viewed on January 22, 2010). Thesis advisor: Dr. Marjorie Skubic. Includes bibliographical references.
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Lent, David D. "Learning and Memory and Supporting Neural Architecture in the Cockroach, Periplaneta americana." Diss., The University of Arizona, 2006. http://hdl.handle.net/10150/193804.

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The cockroach, with its large brain and physiological resilience, holds many advantages for the development of behavioral paradigms. The work presented here provides a foundation for, and describes the results of, the implementation of studies of neural correlates of learning and memory on restrained animals.Using the antennal projection response (APR) as an indicator of learning and retention, several learning paradigms have been developed. A visual-olfactory associative and a gustatory-olfactory aversive conditioning paradigm demonstrated a plastic behavior that could be driven in an intact and immobilized cockroach. Conditioning the APR to a visual cue paired with an olfactory cue characterized the role of unilateral and bilateral olfactory input in learning and memory. While unilateral olfactory input is sufficient to learn a visual-olfactory association, bilateral olfactory input is necessary for long-term retention of the association. This comparison identified a critical time period in which memory is consolidated. This time period was subsequently used to analyze gene expression during memory consolidation.The split-brain cockroach preparation was developed to investigate what parts of the brain are necessary and sufficient for learning and retention of a visual-olfactory association; this preparation was also used to examine learning-induced changes in test tissue versus control tissue provided by the same animal. Evidence suggests that half of a brain is sufficient for a visual-olfactory association to be established and sufficient for retention of that association between 12 and 24 hours. However, the entire brain is necessary for long-term memory to be established. Using the split-brain cockroach simultaneously as the control and the test subject, learning-induced alterations in the microglomerular synaptic complexes of the calyces were identified in the trained half, but not in the naïve half.Using the APR, spatial learning and memory was examined. Multiple representations of space were revealed in the brain of the cockroach. Cockroaches represent space in terms of an olfactory gradient map, as well as the visuospatial relationship between objects. When both representations of space can be utilized by the cockroach to localize a cue, the positional visual cue is the one that determines the behavioral response.
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MacLeod, Lindsey. "Visual Spatial Learning and Memory in Fragile X Syndrome and fmr1 Knockout Mice." Thesis, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/26001.

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This dissertation describes separate but related studies that explore visual spatial learning and memory in Fragile X Syndrome. Across all studies, either the performance of individuals affected by FXS and/or fmr1 KO mice was compared to comparison controls on seven H-W mazes of increasing difficulty levels. Study one employed the traditional configuration of the H-W mazes to evaluate performance variables that include latency to complete the maze and number of the errors. The results of study 1 revealed significant differences in performance for both FXS groups as compared to mental age-matched comparison individuals and wild type mice, respectively. In contrast to the FXS group, performance of the comparison group improved as indicated by significantly fewer errors across trials. A similar pattern of results was observed when latency across trials was analyzed. Taken together, the results of study one support the hypothesis that a selective deficit in spatial learning and memory characteristic of the FXS phenotype can be observed in the murine model of FXS, if equivalent tasks are employed in testing humans and mice. Study two expanded on these findings by adding landmarks to the maze environment to evaluate how these may impact spatial learning and memory in fmr1 KO mice. Contrary to our hypotheses, landmarks significantly impaired wild type control performance. In addition, results revealed that the performance of the fmr1 KO mice generally did not differ between landmark and non-landmark tasks, indicating that the presence of landmarks neither enhanced nor hindered mouse performance. Lastly, study three entailed a more in-depth behavior analysis of maze navigation performance for FXS individuals from study 1. Consistent with the hypotheses and findings from study 1, results revealed significant differences in performance variables between individuals, with FXS participants generally performing worse than the comparison group participants. Taken together, the results of study 3 generally supported the hypothesis that there was greater impairment in performance for individuals affected by FXS as compared to controls. This impairment was evident in the pattern of pathways taken to solve H-W mazes, consistent with the notion that affected individuals employed different behavioral strategies.
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Hunt, Peter Richard. "An examination of the effects of thalamic lesions on learning and memory in the rat." Thesis, Open University, 2000. http://oro.open.ac.uk/58058/.

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The study examined the effects of lesions of the thalamic nucleus medialis dorsalis (MD) made by neurotoxin in three cohorts ofrats to help understand the contribution of this nucleus to learning and memory. The lesions typically provided comprehensive damage to . MD, while the use of an excitotoxin helped to minimise damage to fibres of passage or adjacent fibre tracts. This excluded one confounding influence that may have been present in some previous studies. Some MD lesions also affected the anterior thalamic nuclei, and this additional damage led to spatial memory impairments, helping to confirm the value of results from rats with lesions confined to MD. Whilst the groups with MD lesions were largely unimpaired on non-spatial tests of visual recognition and discrimination, they were impaired on a configural discrimination task. The MD lesions did not impair spatial nonmatching to sample in aT-maze, nor the acquisition or performance over delay conditions of the standard radial maze task. There were impairments, however, when the radial maze was rotated during the delay, requiring a strategy shift. Similar impairment was found when a matching, rather than non-matching, strategy was required on the T-maze task and also when only some arms were rewarded on the radial arm maze task for reference memory measurement. No impairment was seen when the T-maze matching task was reversed to the non-matching variant, emphasising the lesion rats' preference for preexisting rules. In addition, some evidence was found that MD lesions brought about increased activity, but had no effect on conditioned place preference. The study concludes that MD damage in rats does not directly cause memory deficits. The influence that MD damage has on memory is, however, similar to that associated with damage to prefrontal cortex causing deficits in rule-switching ability, a higher order frontal lobe function.
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Books on the topic "Spatial learning and memory"

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Bodenhamer, David J. The spatial humanities: GIS and the future of humanities scholarship. Bloomington: Indiana University Press, 2010.

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J, Bodenhamer David, Corrigan John, and Harris Trevor, eds. The spatial humanities: GIS and the future of humanities scholarship. Bloomington: Indiana University Press, 2010.

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Vandierendonck, André, and Arnaud Szmalec. Spatial working memory. Hove, East Sussex: Psychology Press, 2011.

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Spatial working memory. Hove, East Sussex: Psychology Press, 2011.

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Visuo-spatial working memory. Hove: Lawrence Erlbaum, 1995.

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Bihlmaier, Andreas. Learning Dynamic Spatial Relations. Wiesbaden: Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-14914-7.

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Shaw, Martin D. Spatial learning through exploration. Manchester: University of Manchester, Department of Computer Science, 1995.

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Pollmann, Stefan, ed. Spatial Learning and Attention Guidance. New York, NY: Springer US, 2020. http://dx.doi.org/10.1007/978-1-4939-9948-4.

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Wartik, Nancy. Memory and learning. New York: Chelsea House, 1993.

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Learning and memory. 2nd ed. Boston, MA: Allyn and Bacon, 2003.

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Book chapters on the topic "Spatial learning and memory"

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Graves, Kathryn N., and Nicholas B. Turk-Browne. "Spatial statistics in perception, learning, and navigation." In Visual Memory, 119–33. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003158134-8.

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Cheng, Ken, and Paul Graham. "Spatial memory: Place learning, piloting, and route knowledge." In Handbook of spatial cognition., 137–53. Washington: American Psychological Association, 2013. http://dx.doi.org/10.1037/13936-008.

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Pacteau, Chantal. "Paradoxical Sleep Augmentation Following Spatial Strategy Reversal in BALB/c Mice." In Brain Plasticity, Learning, and Memory, 573. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4684-5003-3_83.

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Sosa, Marielena, Anna K. Gillespie, and Loren M. Frank. "Neural Activity Patterns Underlying Spatial Coding in the Hippocampus." In Behavioral Neuroscience of Learning and Memory, 43–100. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/7854_2016_462.

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Grover, Shrey, and Robert M. G. Reinhart. "Combining Transcranial Direct Current Stimulation and Electrophysiology to Understand the Memory Representations that Guide Attention." In Spatial Learning and Attention Guidance, 177–205. New York, NY: Springer US, 2019. http://dx.doi.org/10.1007/7657_2019_24.

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Sun, Miao-Kun, and Daniel L. Alkon. "Pharmacological Enhancement of Synaptic Efficacy, Spatial Learning, and Memory." In Encyclopedia of the Sciences of Learning, 2605–8. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4419-1428-6_1743.

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Eichenbaum, Howard. "What Versus Where: Non-spatial Aspects of Memory Representation by the Hippocampus." In Behavioral Neuroscience of Learning and Memory, 101–17. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/7854_2016_450.

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Tonkiss, J., and J. L. Smart. "Lister and Wistar Rats Differ in the Extent to Which Early Life Undernutrition Affects Later Spatial Discrimination Learning." In Brain Plasticity, Learning, and Memory, 584. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4684-5003-3_94.

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Haley, Gwendolen E., and Jacob Raber. "Spatial Learning and Memory in Animal Models and Humans." In Animal Models of Behavioral Analysis, 91–109. Totowa, NJ: Humana Press, 2010. http://dx.doi.org/10.1007/978-1-60761-883-6_4.

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Girardeau, Gabrielle, and Michaël Zugaro. "Causal Relationship Between SPWRs and Spatial Learning and Memory." In Springer Series in Computational Neuroscience, 147–60. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1969-7_7.

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Conference papers on the topic "Spatial learning and memory"

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Popov, Vladimir, and Victor Korshunov. "SPATIAL LEARNING AND MEMORY CONSOLIDATION IN PANNEXIN1 KNOCKOUT MICE." In XVII INTERNATIONAL INTERDISCIPLINARY CONGRESS NEUROSCIENCE FOR MEDICINE AND PSYCHOLOGY. LCC MAKS Press, 2021. http://dx.doi.org/10.29003/m2278.sudak.ns2021-17/302.

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Xin, Ming, Wenjie Sun, Kaifang Li, and Guancheng Hui. "Multi-Object Tracking with Spatial-Temporal Correlation Memory Networks." In 2022 3rd International Conference on Computer Vision, Image and Deep Learning & International Conference on Computer Engineering and Applications (CVIDL & ICCEA). IEEE, 2022. http://dx.doi.org/10.1109/cvidliccea56201.2022.9825193.

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Busch, Mark A., Marjorie Skubic, James M. Keller, and Kevin E. Stone. "A Robot in a Water Maze: Learning a Spatial Memory Task." In 2007 IEEE International Conference on Robotics and Automation. IEEE, 2007. http://dx.doi.org/10.1109/robot.2007.363572.

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Stone, Erik E., Marjorie Skubic, and James M. Keller. "Adaptive temporal difference learning of spatial memory in the water maze task." In 2008 7th IEEE International Conference on Development and Learning (ICDL 2008). IEEE, 2008. http://dx.doi.org/10.1109/devlrn.2008.4640810.

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Liu, Xianyun. "The spatial memory representation from two different learning manners: Is sequential learning worse than simultaneous learning?" In 2010 Sixth International Conference on Natural Computation (ICNC). IEEE, 2010. http://dx.doi.org/10.1109/icnc.2010.5582359.

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Xie, Chunyu, Ce Li, Baochang Zhang, Chen Chen, Jungong Han, and Jianzhuang Liu. "Memory Attention Networks for Skeleton-based Action Recognition." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/227.

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Skeleton-based action recognition task is entangled with complex spatio-temporal variations of skeleton joints, and remains challenging for Recurrent Neural Networks (RNNs). In this work, we propose a temporal-then-spatial recalibration scheme to alleviate such complex variations, resulting in an end-to-end Memory Attention Networks (MANs) which consist of a Temporal Attention Recalibration Module (TARM) and a Spatio-Temporal Convolution Module (STCM). Specifically, the TARM is deployed in a residual learning module that employs a novel attention learning network to recalibrate the temporal attention of frames in a skeleton sequence. The STCM treats the attention calibrated skeleton joint sequences as images and leverages the Convolution Neural Networks (CNNs) to further model the spatial and temporal information of skeleton data. These two modules (TARM and STCM) seamlessly form a single network architecture that can be trained in an end-to-end fashion. MANs significantly boost the performance of skeleton-based action recognition and achieve the best results on four challenging benchmark datasets: NTU RGB+D, HDM05, SYSU-3D and UT-Kinect.
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Miao, Jun, Lijuan Duan, Laiyun Qing, Wen Gao, and Yiqiang Chen. "Learning and Memory of Spatial Relationship by a Neural Network with Sparse Features." In 2007 International Joint Conference on Neural Networks. IEEE, 2007. http://dx.doi.org/10.1109/ijcnn.2007.4371293.

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Uddin, Md Sami, Carl Gutwin, and Andy Cockburn. "The Effects of Artificial Landmarks on Learning and Performance in Spatial-Memory Interfaces." In CHI '17: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3025453.3025497.

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Gerard, Pierre-Francois, Frederic Fol Leymarie, and William Latham. "The Effect of Spatial Design on User Memory Performance Using the Method of Loci in VR." In 2021 7th International Conference of the Immersive Learning Research Network (iLRN). IEEE, 2021. http://dx.doi.org/10.23919/ilrn52045.2021.9459377.

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A. Alomari, Mahmoud, Omar F. Khabour, Karem H. Alzoubi, and Mohammad A. Alzubi. "FORCED AND VOLUNTARY EXERCISES EQUALLY IMPROVE SPATIAL LEARNING AND MEMORY AND HIPPOCAMPAL BDNF LEVELS." In Movement, Health and Exercise 2014 Conference. Universiti Malaysia Pahang, 2014. http://dx.doi.org/10.15282/mohe.2014.pah.085.

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Reports on the topic "Spatial learning and memory"

1

Ratwani, Raj M., and J. G. Trafton. Spatial Memory Guides Task Resumption. Fort Belvoir, VA: Defense Technical Information Center, January 2008. http://dx.doi.org/10.21236/ada479722.

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Siegelmann, Hava T. Memory Reconsolidation and Computational Learning. Fort Belvoir, VA: Defense Technical Information Center, March 2010. http://dx.doi.org/10.21236/ada516675.

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Agarwal, Anant, and Anoop Gupta. Temporal, Processor, and Spatial Locality in Multiprocessor Memory References. Fort Belvoir, VA: Defense Technical Information Center, June 1989. http://dx.doi.org/10.21236/ada213790.

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Radvansky, Gabriel A. Comprehension and Memory of Spatial and Temporal Event Components. Fort Belvoir, VA: Defense Technical Information Center, January 2008. http://dx.doi.org/10.21236/ada477371.

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Broadie, Kendal S. Genetic and Electrophysiological Investigation of Learning Memory Mechanisms. Fort Belvoir, VA: Defense Technical Information Center, August 2001. http://dx.doi.org/10.21236/ada390035.

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McGaugh, James L., Gary Lynch, and Norman M. Weinberger. Conference on the Neurobiology of Learning and Memory (3rd). Fort Belvoir, VA: Defense Technical Information Center, September 1988. http://dx.doi.org/10.21236/ada201631.

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Thompson, Richard F. A Biological Neural Network Analysis of Learning and Memory. Fort Belvoir, VA: Defense Technical Information Center, October 1991. http://dx.doi.org/10.21236/ada241837.

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Doane, Stephanie. New Measures of Complex Spatial Processing Abilities: Relating Spatial Abilities to Learning and Performance. Fort Belvoir, VA: Defense Technical Information Center, January 2002. http://dx.doi.org/10.21236/ada413799.

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Huang, Amy, Katelyn Barnes, Joseph Bearer, Evan Chrisinger, and Christopher Stone. Integrating Distributed-Memory Machine Learning into Large-Scale HPC Simulations. Office of Scientific and Technical Information (OSTI), May 2018. http://dx.doi.org/10.2172/1460078.

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Drew, Donald A. Brain Behavior Evolution during Learning: Emergence of Hierarchical Temporal Memory. Fort Belvoir, VA: Defense Technical Information Center, August 2013. http://dx.doi.org/10.21236/ada608125.

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