Готові списки джерел за темами / Associative recognition memory

Добірка наукової літератури з теми "Associative recognition memory"

Автор: Grafiati
Опубліковано: 10 грудня 2022
Оновлено: 28 січня 2023

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Статті в журналах з теми "Associative recognition memory"

1

Horton, David L., and Timothy J. Pavlick. "Recognition failure, associative relatedness, and recognition memory." Bulletin of the Psychonomic Society 31, no. 5 (May 1993): 478–80. http://dx.doi.org/10.3758/bf03334968.

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2

Honey, R. "Associative components of recognition memory." Current Opinion in Neurobiology 10, no. 2 (April 1, 2000): 200–204. http://dx.doi.org/10.1016/s0959-4388(00)00069-6.

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3

TAN, Z., and M. K. ALI. "PATTERN RECOGNITION WITH STOCHASTIC RESONANCE IN A GENERIC NEURAL NETWORK." International Journal of Modern Physics C 11, no. 08 (December 2000): 1585–93. http://dx.doi.org/10.1142/s0129183100001413.

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Анотація:
We discuss stochastic resonance in associative memory with a canonical neural network model that describes the generic behavior of a large family of dynamical systems near bifurcation. Our result shows that stochastic resonance helps memory association. The relationship between stochastic resonance, associative memory, storage load, history of memory and initial states are studied. In intelligent systems like neural networks, it is likely that stochastic resonance combined with synaptic information enhances memory recalls.
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4

Hakobyan, Olya, and Sen Cheng. "A multistage retrieval account of associative recognition ROC curves." Learning & Memory 28, no. 11 (October 18, 2021): 400–404. http://dx.doi.org/10.1101/lm.053432.121.

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Despite its name, associative recognition is a paradigm thought to rely on memory recall. However, it remains unclear how associative information may be represented and retrieved from memory and what its relationship to other information, such as item memory, is. Here, we propose a computational model of associative recognition, where relational information is accessed in a generic, multistage retrieval process. The model explains the relative difficulty of associative recognition compared with item recognition, the difference in experimental outcomes when different types of lures are used, as well as the conditions leading to the emergence of associative ROC curves with different shapes.
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5

Paek, Eung Gi, and A. Von Lehmen. "Holographic associative memory for word-break recognition." Optics Letters 14, no. 4 (February 15, 1989): 205. http://dx.doi.org/10.1364/ol.14.000205.

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6

den Bok, Henk W., Jan L. Visschers, Adriaan J. Borgers, and Wim Lourens. "Track recognition with an associative pattern memory." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 300, no. 1 (January 1991): 107–14. http://dx.doi.org/10.1016/0168-9002(91)90713-z.

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7

Zhang, H., B. Zhang, W. Huang, and Q. Tian. "Gabor Wavelet Associative Memory for Face Recognition." IEEE Transactions on Neural Networks 16, no. 1 (January 2005): 275–78. http://dx.doi.org/10.1109/tnn.2004.841811.

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Pfeifer, Gaby, Jamie Ward, Dennis Chan, and Natasha Sigala. "Representational Account of Memory: Insights from Aging and Synesthesia." Journal of Cognitive Neuroscience 28, no. 12 (December 2016): 1987–2002. http://dx.doi.org/10.1162/jocn_a_01014.

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Анотація:
The representational account of memory envisages perception and memory to be on a continuum rather than in discretely divided brain systems [Bussey, T. J., & Saksida, L. M. Memory, perception, and the ventral visual-perirhinal-hippocampal stream: Thinking outside of the boxes. Hippocampus, 17, 898–908, 2007]. We tested this account using a novel between-group design with young grapheme-color synesthetes, older adults, and young controls. We investigated how the disparate sensory-perceptual abilities between these groups translated into associative memory performance for visual stimuli that do not induce synesthesia. ROI analyses of the entire ventral visual stream showed that associative retrieval (a pair-associate retrieved in the absence of a visual stimulus) yielded enhanced activity in young and older adults' visual regions relative to synesthetes, whereas associative recognition (deciding whether a visual stimulus was the correct pair-associate) was characterized by enhanced activity in synesthetes' visual regions relative to older adults. Whole-brain analyses at associative retrieval revealed an effect of age in early visual cortex, with older adults showing enhanced activity relative to synesthetes and young adults. At associative recognition, the group effect was reversed: Synesthetes showed significantly enhanced activity relative to young and older adults in early visual regions. The inverted group effects observed between retrieval and recognition indicate that reduced sensitivity in visual cortex (as in aging) comes with increased activity during top–down retrieval and decreased activity during bottom–up recognition, whereas enhanced sensitivity (as in synesthesia) shows the opposite pattern. Our results provide novel evidence for the direct contribution of perceptual mechanisms to visual associative memory based on the examples of synesthesia and aging.
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Yonelinas, A. P., N. E. A. Kroll, I. G. Dobbins, and M. Soltani. "Recognition memory for faces: When familiarity supports associative recognition judgments." Psychonomic Bulletin & Review 6, no. 4 (December 1999): 654–61. http://dx.doi.org/10.3758/bf03212975.

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Whitt, Emma, Mark Haselgrove, and Jasper Robinson. "Indirect object recognition: Evidence for associative processes in recognition memory." Journal of Experimental Psychology: Animal Behavior Processes 38, no. 1 (2012): 74–83. http://dx.doi.org/10.1037/a0025886.

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Дисертації з теми "Associative recognition memory"

1

Whitt, Emma. "Associative processes in recognition memory." Thesis, University of Nottingham, 2011. http://eprints.nottingham.ac.uk/12289/.

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Recognition memory, or the discrimination between novelty and familiarity, is well predicted by an associative model of memory (Wagner’s SOP). In this thesis I examined predictions from this model concerning priming of stimuli, and stimulus spacing, in rats’ object recognition. Priming of an object resulted in a bias in behaviour towards the non-primed object. This may be due to associative processes, as described by the SOP model. Spacing stimuli in a sample stage of an object recognition task resulted in longer-lasting or better discrimination in a test of familiar versus novel object, as predicted by the model. Incorporating a short or long delay between sample and test led to better discrimination after a short delay, though differences in stimulus spacing conditions at each delay were not significant. I also examined recognition using stimulus generalisation. Generalisation of a conditioned response occurred between stimuli that shared elements of familiarity. Although not significant, familiarity generalisation may have been less apparent in animals with lesions to perirhinal cortex, providing some support for the suggestion that perirhinal cortex has a role in novelty/familiarity discrimination. The main conclusion was that recognition memory, as measured by the object recognition and generalisation tasks, might involve associative processes.
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Greenberg, Jeffrey Alexander. "A Single Trial Analysis of EEG in Associative Recognition Memory: Tracking the Neural Correlates of Associative Memory Strength." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1415700019.

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Graham, Brittany Shauna. "Mechanisms supporting recognition memory during music listening." Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42848.

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Анотація:
We investigated the concurrent effects of arousal and encoding specificity as related to background music on associative memory accuracy. Extant literature suggested these factors affect memory, but their combined effect in musical stimuli was not clear and may affect memory differentially for young and older adults. Specifically, we sought to determine if music can be used as a mnemonic device to overcome the associative memory deficits typically experienced by healthy older adults. We used a paired-associates memory task in which young and older adults listened to either highly or lowly arousing music or to silence while simultaneously studying same gender face-name pairs. Participants' memory was then tested for these pairs while listening to either the same or different music selections. We found that young adults' memory performance was not affected by any of the music listening conditions. Music listening, however, was detrimental for older adults. Specifically, their memory performance was worse for all music conditions, particularly if the music was highly arousing. Young adults' pattern of results was not reflected in their subjective ratings of helpfulness; they felt that all music was helpful to their performance yet there was no indication of this in the results. Older adults were more aware of the detriment of music on their performance, rating some highly arousing music as less helpful than silence. We discuss possible reasons for this pattern and conclude that these results are most consistent with the theory that older adults' failure to inhibit processing of distracting task-irrelevant information, in this case background music, contributes to their elevated memory failures.
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Murray, Jamie G. "Associative recognition : exploring the contributions of recollection and familiarity." Thesis, University of Stirling, 2014. http://hdl.handle.net/1893/21663.

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Episodic memory refers to the storage and retrieval of information about events in our past. According to dual process models, episodic memory is supported by familiarity which refers to the rapid and automatic sense of oldness about a previously encoded stimulus, and recollection which refers to the retrieval of contextual information, such as spatial, temporal or other contextual details that bring a specific item to mind. To be clear, familiarity is traditionally assumed to support recognition of item information, whereas recollection supports the recognition of associative information. Event Related Potential (ERP) studies provide support for dual process models, by demonstrating qualitatively distinct patterns of neural activity associated with familiarity (Mid-Frontal old/new effect) and recollection (Left-Parietal old/new effect). In the current thesis, ERPs were used to address two important questions regarding associative recognition – namely, the function of the neural signal supporting recollection and whether familiarity can contribute to the retrieval of novel associative information. The first series of experiments was aimed at addressing how recollection operates by employing a recently developed continuous source task designed to directly measure the accuracy of retrieval success. To date, the function of recollection has been fiercely debated, with some arguing that recollection reflects the operation of a continuous retrieval process, whereby test cues always elicit some information from memory. Alternatively, recollection may reflect the operation of a thresholded process that allows for retrieval failure, whereby test cues sometimes elicit no information from memory at all. In the current thesis, the Left Parietal effect was found to be sensitive to the precision of memory responses when recollection succeeded, but was entirely absent when recollection failed. The result clarifies the nature of the neural mechanism underlying successful retrieval whilst also providing novel evidence in support of threshold models of recollection. The second series of experiments addressed whether familiarity could contribute to the retrieval of novel associative information. Recent associative recognition studies have suggested that unitization (whereby multi-component stimuli are encoded as a single item rather than as a set of associated parts) can improve episodic memory by increasing the availability of familiarity during retrieval. To date, however, ERP studies have failed to provide any evidence of unitization for novel associations, whereas behavioural support for unitization is heavily reliant on model specific measures such as ROC analysis. Over three separate associative recognition studies employing unrelated word pairs, the magnitude of the Mid-Frontal old/new effect was found to be modulated by encoding instructions designed to manipulate the level of unitization. Importantly, the results also suggest that different encoding strategies designed to manipulate the level of unitization may be more successful than others. Finally, the results also revealed that differences in behavioural performance and modulation of the Mid-Frontal old/new effect between unitized and non-unitized instructions is greater for unrelated compared to related word pairs. In essence, the results suggest that unitization is better suited to learning completely novel associations as opposed to word pairs sharing a pre-existing conceptual relationship. Overall, the data presented in this thesis supports dual process accounts of episodic memory, suggesting that at a neural level of analysis, recollection is both thresholded and variable, whilst also supporting the assumption that familiarity can contribute to successful retrieval of novel associative information. The results have important implications for our current understanding of cognitive decline and the development of behavioural interventions aimed at alleviating associative deficits.
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Sabec, Marie Helen. "Nicotinic receptor regulation of glutamatergic transmission is essential for associative recognition memory." Thesis, University of Bristol, 2017. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.738552.

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Savalli, Giorgia. "An investigation of the neural basis of associative recognition memory in the rat." Thesis, University of Bristol, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.559078.

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Object-in-place (OIP) memory is a form of associative recognition memory which relies on the formation of an association between an object and the place in which such object was encountered. Existing evidence shows that OIP memory depends upon a circuit of neural regions which include the medial prefrontal cortex (mPFC), perirhinal cortex (PRH) and hippocampus (HPC). The aim of this thesis was to characterise further the cellular mechanisms which underlie OIP associative memory in the rat. Several lines of research have shown that mPFC, PRH and HPC receive a substantial dopaminergic projection and that in these areas dopamine plays a critical role in modulating plasticity and memory processes. In the first part of this thesis the role of dopamine neurotransmission within mPFC, PRH and HPC for OIP memory was investigated. Guide cannulae were implanted in the regions of interest to allow local infusion of the selective dopamine D1 receptor antagonist SCH23390 and OIP memory was tested using a spontaneous OlP memory task. Oopaminergic neurotransmission through D1 receptors was found to be required in mPFC for acquisition, but not for consolidation or retrieval, of both short-term and long-term OlP memory. In contrast direct infusion of SCH23390 into PRH or HPC produced no impairment in memory. Further, a possible role of dopamine through D2 receptors was excluded, as intra-mPFC infusion of the D2 receptor antagonist eticlopride did not cause any impairment in the task. These results demonstrated that dopaminergic neurotransmission via 01 receptors was selectively involved in the acquisition of OIP memory in the mPFC. The next series of experiments investigated the synaptic plasticity mechanism underlying long-term (24 h) OIP memory within the mPFC. Local blockade of PKMzeta, a protein critical for LTP, through infusion of the selective inhibitor ZIP, impaired OIP memory performance either when infused prior the sample or 5 h before the test. an the contrary, infusion of the synthetic peptide GluR2-3Y, a molecule critical for LTO, either before the sample phase or 5 h before the test, did not show any memory impairment. These findings suggested that an LTP-like, rather than an LTO-like, mechanism occurs both during the encoding and the maintenance of OIP memory. The final series of experiments presented in this thesis aimed to investigate whether other brain regions, beyond mPFC, PRH or HPC, were involved in OlP associative recognition memory. Neuronal activity was measured through the differential expression of the immediate early genes c-fos and zif268, following presentation of novel or familiar arrangements of visual stimuli. However here were no significant differences in levels of neuronal activation following the presentation of novel and familiar stimuli in any of the areas analysed, a finding which may relate to procedural issues in the presentation of the visual stimuli.
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Basawaraj. "Implementation of Memory for Cognitive Agents Using Biologically Plausible Associative Pulsing Neurons." Ohio University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1561721551043877.

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de, Sousa Giseli. "Optimization of neuronal morphologies for pattern recognition." Thesis, University of Hertfordshire, 2012. http://hdl.handle.net/2299/8646.

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This thesis addresses the problem of how the dendritic structure and other morphological properties of the neuron can determine its pattern recognition performance. The techniques used in this work for generating dendritic trees with different morphologies included the following three methods. Firstly, dendritic trees were produced by exhaustively generating every possible morphology. Where this was not possible due to the size of morphological space, I sampled systematically from the possible morphologies. Lastly, dendritic trees were evolved using an evolutionary algorithm, which varied existing morphologies using selection, mutation and crossover. From these trees, I constructed full compartmental conductance-based models of neurons. I then assessed the performance of the resulting neuronal models by quantifying their ability to discriminate between learned and novel input patterns. The morphologies generated were tested in the presence and absence of active conductances. The results have shown that the morphology does have a considerable effect on pattern recognition performance. In fact, neurons with a small mean depth of their dendritic tree are the best pattern recognizers. Moreover, the performance of neurons is anti-correlated with mean depth. Interestingly, the symmetry of the neuronal morphology does not correlate with performance. This research has also revealed that the evolutionary algorithm could find effective morphologies for both passive models and models with active conductances. In the active model, there was a considerable change in the performance of the original population of neurons, which largely resulted from changes in the morphological parameters such as dendritic compartmental length and tapering. However, no single parameter setting guaranteed good neuronal performance; in three separate runs of the evolutionary algorithm, different sets of well performing parameters were found. In fact, the evolved neurons performed at least five times better than the original hand-tuned neurons. In summary, the combination of morphological parameters plays a key role in determining the performance of neurons in the pattern recognition task and the right combination produces very well performing neurons.
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Osth, Adam Frederick. "Sources of interference in item and associative recognition memory: Insights from a hierarchical Bayesian analysis of a global matching model." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1397136173.

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Kriukova, Olga [Verfasser], and Axel [Akademischer Betreuer] Mecklinger. "The impact of categorical and thematic relations on associative recognition memory / Olga Kriukova. Betreuer: Axel Mecklinger." Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2012. http://d-nb.info/1052550770/34.

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Книги з теми "Associative recognition memory"

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Washburn, David A., Michael J. Beran, and J. David Smith. Metamemory in Comparative Context. Edited by John Dunlosky and Sarah (Uma) K. Tauber. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199336746.013.21.

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Demonstrations of animal memory were among the earliest experimental results obtained in psychology, but investigations of whether animals show metacognitive competencies are relatively new. Such investigations require innovative paradigms in which uncertainty can be created and empirically validated, methods by which nonverbal organisms can indicate their recognition of confidence or uncertainty, and systematic inquiry to determine whether such responses are externally, associatively generated or are subjective and metacognitive. This third point requires particular attention to balance competing considerations like anthropomorphism, parsimony, and interpretive errors, such as being too inclined to infer analogous mechanisms, or conversely to reject real demonstrations of animal metamemory by holding them to different evidentiary standards than is human metacognition. The results from numerous attempts to address these challenges are reviewed, yielding the overall conclusion that the capacity for metamemory and metacognition has been demonstrated at least by some animals in ways that defy low-level associative interpretation.
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Gaulier, Armelle, and Denis-Constant Martin. Cape Town Harmonies: Memory, Humour and Resilience. African Minds, 2017. http://dx.doi.org/10.47622/9781928331506.

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"Cape Town's public cultures can only be fully appreciated through recognition of its deep and diverse soundscape. We have to listen to what has made and makes a city. The ear is an integral part of the research tools one needs to get a sense of any city. We have to listen to the sounds that made and make the expansive mother city. Various of its constituent parts sound different from each other [T]here is the sound of the singing men and their choirs (teams they are called) in preparation for the longstanding annual Malay choral competitions. The lyrics from the various repertoires they perform are hardly ever written down. [] There are texts of the hallowed Dutch songs but these do not circulate easily and widely. Researchers dream of finding lyrics from decades ago, not to mention a few generations ago back to the early 19th century. This work by Denis Constant Martin and Armelle Gaulier provides us with a very useful selection of these songs. More than that, it is a critical sociological reflection of the place of these songs and their performers in the context that have given rise to them and sustains their relevance. It is a necessary work and is a very important scholarly intervention about a rather neglected aspect of the history and present production of music in the city." Shamil Jeppie, Associate Professor, Department of Historical Studies, University of Cape Town
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Частини книг з теми "Associative recognition memory"

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Kohonen, Teuvo. "Pattern Recognition." In Self-Organization and Associative Memory, 185–209. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-88163-3_7.

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Kohonen, Teuvo. "Pattern Recognition." In Self-Organization and Associative Memory, 185–209. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-662-00784-6_7.

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Soulie, F. Fogelman, P. Gallinari, and S. Thiria. "Learning and Associative Memory." In Pattern Recognition Theory and Applications, 249–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-83069-3_20.

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4

Kryzhanovsky, Boris, Leonid Litinskii, and Anatoly Fonarev. "An Effective Associative Memory for Pattern Recognition." In Advances in Intelligent Data Analysis V, 179–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45231-7_17.

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Aligué, Francisco J. López, Isabel Acevedo, Carlos Ga Orellana, Miguel Macías, and Horacio G. Velasco. "Associative Memory for Early Detection of Breast Cancer." In Pattern Recognition and Image Analysis, 437–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-44871-6_51.

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Sanderson, David J. "Associative and Nonassociative Processes in Rodent Recognition Memory." In The Wiley Handbook on the Cognitive Neuroscience of Learning, 177–200. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118650813.ch8.

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Haken, H. "Synergetic Computers for Pattern Recognition and Associative Memory." In Springer Series in Synergetics, 2–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-73089-4_1.

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8

Ganguly, Niloy, Arijit Das, Pradipta Maji, Biplab K. Sikdar, and P. Pal Chaudhuri. "Evolving Cellular Automata Based Associative Memory for Pattern Recognition." In High Performance Computing — HiPC 2001, 115–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45307-5_11.

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Zhang, Bai-ling, Yuan Miao, and Gopal Gupta. "k–Nearest Neighbors Associative Memory Model for Face Recognition." In AI 2005: Advances in Artificial Intelligence, 540–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11589990_56.

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McEnery, Orla, Alex Cronin, Tahar Kechadi, and Franz Geiselbrechtinger. "Suitability of Two Associative Memory Neural Networks to Character Recognition." In Lecture Notes in Computer Science, 886–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30549-1_76.

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Тези доповідей конференцій з теми "Associative recognition memory"

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Toth, Charles K., and Toni Schenk. "Pattern recognition with parallel associative memory." In Close-Range Photogrammetry Meets Machine Vision. SPIE, 1990. http://dx.doi.org/10.1117/12.2294314.

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Qian Lin, Feng Zhang, and Peng Cai. "Contour recognition based on associative memory." In 2010 Second International Conference on Computational Intelligence and Natural Computing (CINC). IEEE, 2010. http://dx.doi.org/10.1109/cinc.2010.5643739.

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Arya, Karm Veer, Viraat Singh, Pabitra Mitra, and Phalguni Gupta. "Face recognition using Parallel Associative Memory." In 2008 IEEE International Conference on Systems, Man and Cybernetics (SMC). IEEE, 2008. http://dx.doi.org/10.1109/icsmc.2008.4811470.

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Mori, Masahiko, Xin Lin, Junji Ohtsubo, and Masanobu Watanabe. "Terminal attractor optical associative memory for pattern recognition." In International Symposium on Optical Memory and Optical Data Storage. SPIE, 1999. http://dx.doi.org/10.1117/12.997584.

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Grove, A. J., and D. W. Jacobs. "Space/time trade-offs for associative memory." In Proceedings of 13th International Conference on Pattern Recognition. IEEE, 1996. http://dx.doi.org/10.1109/icpr.1996.547434.

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Khan, Javed I. "Dynamic subpattern matching with holographic associative memory." In The 27th AIPR Workshop: Advances in Computer-Assisted Recognition, edited by Robert J. Mericsko. SPIE, 1999. http://dx.doi.org/10.1117/12.339820.

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Poechmueller, W., and M. Glesner. "Handwritten pattern recognition with a binary associative memory." In 1990 IJCNN International Joint Conference on Neural Networks. IEEE, 1990. http://dx.doi.org/10.1109/ijcnn.1990.137680.

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8

Wechsler, Harry, and Lee Zimmerman. "3D Object Recognition Using Distributed Associative Memory (DAM)." In 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, edited by David P. Casasent. SPIE, 1990. http://dx.doi.org/10.1117/12.969759.

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9

Lam, David T., and John E. Carroll. "Pattern Recognition Using A Double Layer Associative Memory." In 33rd Annual Techincal Symposium, edited by J. P. Letellier. SPIE, 1989. http://dx.doi.org/10.1117/12.962383.

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10

Zhang, Bai-ling. "Kernel Hetero-associative Memory for Robust Face Recognition." In 2006 IEEE International Conference on Video and Signal Based Surveillance. IEEE, 2006. http://dx.doi.org/10.1109/avss.2006.68.

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Звіти організацій з теми "Associative recognition memory"

1

Olsen, Jamieson, Tiehui Ted Liu, Jim Hoff, Zhen Hu, Jim Yuan Wu, and Zijun Xu. An FPGA-based Pattern Recognition Associative Memory. Office of Scientific and Technical Information (OSTI), July 2018. http://dx.doi.org/10.2172/1480099.

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2

Nelson, Randal C. Three-Dimensional Recognition Via Two-Stage Associative Memory. Fort Belvoir, VA: Defense Technical Information Center, January 1995. http://dx.doi.org/10.21236/ada293567.

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3

Deputch, G., J. Hoff, R. Lipton, T. Liu, J. Olsen, E. Ramberg, Jin-Yuan Wu, et al. Developement of 3D Vertically Integrated Pattern Recognition Associative Memory (VIPRAM). Office of Scientific and Technical Information (OSTI), April 2011. http://dx.doi.org/10.2172/1031164.

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4

Deptuch, Gregory, Jim Hoff, Simon Kwan, Ron Lipton, Ted Liu, Erik Ramberg, Aida Todri, et al. Proposal for the development of 3D Vertically Integrated Pattern Recognition Associative Memory (VIPRAM). Office of Scientific and Technical Information (OSTI), October 2010. http://dx.doi.org/10.2172/1001377.

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5

Shahriar, Selim. Ultrafast Target Recognition via Super-Parallel Holograph Based Correlator, RAM and Associative Memory. Fort Belvoir, VA: Defense Technical Information Center, March 2008. http://dx.doi.org/10.21236/ada478785.

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