Relevant bibliographies by topics / Recognition memory

Academic literature on the topic 'Recognition memory'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Recognition memory"

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Cohen, M. A., T. S. Horowitz, and J. M. Wolfe. "Auditory recognition memory is inferior to visual recognition memory." Proceedings of the National Academy of Sciences 106, no. 14 (March 23, 2009): 6008–10. http://dx.doi.org/10.1073/pnas.0811884106.

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Cohen, M., T. Horowitz, and J. Wolfe. "Auditory recognition memory is inferior to visual recognition memory." Journal of Vision 9, no. 8 (March 24, 2010): 568. http://dx.doi.org/10.1167/9.8.568.

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PUCE, AINA, DAVID G. ANDREWES, SAMUEL F. BERKOVIC, and PETER F. BLADIN. "VISUAL RECOGNITION MEMORY." Brain 114, no. 4 (1991): 1647–66. http://dx.doi.org/10.1093/brain/114.4.1647.

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Donaldson, Wayne. "Measuring recognition memory." Journal of Experimental Psychology: General 121, no. 3 (1992): 275–77. http://dx.doi.org/10.1037/0096-3445.121.3.275.

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Bussey, T. "Visualizing recognition memory." Trends in Cognitive Sciences 3, no. 7 (July 1999): 253. http://dx.doi.org/10.1016/s1364-6613(99)01351-0.

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Keverne, E. B., and P. A. Brennan. "Olfactory recognition memory." Journal of Physiology-Paris 90, no. 5-6 (January 1996): 399–401. http://dx.doi.org/10.1016/s0928-4257(97)87929-6.

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Gupta, Dr Santosh Kumar, and Dr Meenakshi Sharma. "Effects of Ageing and Nutrition on Recognition Memory." International Journal of Scientific Research 2, no. 9 (June 1, 2012): 395–96. http://dx.doi.org/10.15373/22778179/sep2013/137.

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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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Broadbent, N. J., L. R. Squire, and R. E. Clark. "Spatial memory, recognition memory, and the hippocampus." Proceedings of the National Academy of Sciences 101, no. 40 (September 27, 2004): 14515–20. http://dx.doi.org/10.1073/pnas.0406344101.

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Watts, Fraser N., Lorna Morris, and Andrew K. MacLeod. "Recognition memory in depression." Journal of Abnormal Psychology 96, no. 3 (1987): 273–75. http://dx.doi.org/10.1037/0021-843x.96.3.273.

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Dissertations / Theses on the topic "Recognition memory"

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Bellamy, Katarina Jane. "Cognitive neuroscience of false memory : the role of gist memory." Thesis, University of Edinburgh, 2010. http://hdl.handle.net/1842/4471.

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This thesis explores the role of gist memory and gist representation in the formation of false recognition, specifically in the Deese, Roediger and McDermott Paradigm. We found that normal individuals displayed a range of susceptibility to false recognition and true recognition and this was related to their scores on both the Autism Spectrum Quotient and the Toronto-Alexithymia Scale. More ‘male-brained’ participants exhibited less susceptibility to false recognition but also less veridical recognition. The reverse was true for more ‘female-brained’ participants. The idea of false recognition and gist memory lying along a continuum was further emphasised by work on individuals with Autism Spectrum Disorder. We found they were less susceptible to false recognition but also produced less veridical recognition. We also found differences in performance between two groups of autism individuals who also differed in age. The results of further manipulations using both picture and word paradigms suggested that gist memory could be improved in younger individuals with autism. We also examined a patient group with Functional Memory Disorder using the DRM paradigm and a confabulation task and found them less able to produce true recognition in the DRM compared with a control group. Their memory impairments could not be attributed to depression since none were clinically depressed, so we suggested that they represent the tale end of impairment to gist memory. We also explored gist memory in a patient with dense anterograde amnesia who showed reduced true recognition and a tendency to reduced false recognition, but through manipulation of the stimuli using word and pictorial material she could perform like controls due to improved item-specific discrimination. A new face recognition paradigm was also tested in which she showed a tendency towards increased false recognition in comparison with controls. Finally, we suggest the use of the DRM paradigm as a test for memory malingering since we found participants could not replicate the performance of amnesia patients without a cost in their response latencies. This is discussed through the case study of GC a man suspected of exaggerating his memory symptoms.
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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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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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Cross, Laura Rachael. "Thalamocortical interactions in recognition memory." Thesis, University of Bristol, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.573133.

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The mediodorsal thalamus (MD) is implicated in recognition memory however its exact role is unclear. The aims of this study were to provide a detailed analysis of the role of MD in recognition memory in the rat using variants of the spontaneous object recognition task to assess item (object or odour) recognition, recency recognition or associative recognition memory separately. In the first series of experiments, bilateral lesions in MD or mPFC impaired both recency and associative recognition, but spared item recognition and object location performance. The second series of experiments used disconnection techniques to investigate whether an interaction between the MD and mPFC is necessary during these recognition memory processes. Unilateral lesions in MD and mPFC in contralateral hemispheres produced deficits in recency and object-in-place associative recognition but spared item recognition, and object-in-context memory. The final series of experiments investigated the neurochemical basis of object-in-place associative recognition memory. Intra-MD Infusions of either NBQX, a glutamatergic antagonist, or muscimol, a GABAergic agonist produced selective deficits in retrieval, but not in acquisition of object-in-place associative memory. In contract, intra-mPFC infusions of NBQX impaired both acquisition and retrieval, while muscimol had no effect. Interestingly, crossed infusions into both the MD and mPFC disrupted retrieval but not acquisition. These findings indicate that MD plays a selective role in recognition memory when associative or recency, but not single item, discriminations are made. Secondly these data show that to make these discriminations, MD must functionally interact with the mPFC. Finally, it was shown that during object-in- place associative recognition memory, MD and the interaction between MD and mPFC appears critical during the retrieval phase only. Thus together these results show for the first time that MD plays a selective role in the recognition memory via a thalamocortical interaction with mPFC, and that for associative recognition memory this interaction is required for the retrieval phase only.
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Koder, Timothy John. "Cholinergic modulation of recognition memory." Thesis, University of Bristol, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.398605.

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Heaver, Becky. "Psychophysiological indices of recognition memory." Thesis, University of Sussex, 2012. http://sro.sussex.ac.uk/id/eprint/39455/.

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It has recently been found that during recognition memory tests participants' pupils dilate more when they view old items compared to novel items. This thesis sought to replicate this novel ‘‘Pupil Old/New Effect'' (PONE) and to determine its relationship to implicit and explicit mnemonic processes, the veracity of participants' responses, and the analogous Event-Related Potential (ERP) old/new effect. Across 9 experiments, pupil-size was measured with a video-based eye-tracker during a variety of recognition tasks, and, in the case of Experiment 8, with concurrent Electroencephalography (EEG). The main findings of this thesis are that: - the PONE occurs in a standard explicit test of recognition memory but not in “implicit” tests of either perceptual fluency or artificial grammar learning; - the PONE is present even when participants are asked to give false behavioural answers in a malingering task, or are asked not to respond at all; - the PONE is present when attention is divided both at learning and during recognition; - the PONE is accompanied by a posterior ERP old/new effect; - the PONE does not occur when participants are asked to read previously encountered words without making a recognition decision; - the PONE does not occur if participants preload an “old/new” response; - the PONE is not enhanced by repetition during learning. These findings are discussed in the context of current models of recognition memory and other psychophysiological indices of mnemonic processes. It is argued that together these findings suggest that the increase in pupil-size which occurs when participants encounter previously studied items is not under conscious control and may reflect primarily recollective processes associated with recognition memory.
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Bird, S. A. "Bimodal input, word recognition, and memory." Thesis, University of Cambridge, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.596651.

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This dissertation explored some possible effects of same-language subtitled film/video as a foreign language learning tool. Some studies have shown that same-language subtitling can be beneficial to language learners in terms of overall plot comprehension and word meaning. However, critics argue that simultaneous bimodal sound and text inputs can adversely affect spoken word form learning. Six experiments were designed to measure some effects of single modality sound-only and bimodal text and sound inputs on spoken word recognition and memory. Subjects performed training tasks that included familiar target words and unfamiliar letter strings in single modality and bimodal conditions. Subjects were then given implicit (repetition priming) and explicit (recognition memory) memory tests for spoken words. The main results were the following: (1) On the implicit tests, the repetition priming effects for reaction times to known words were equivalent in sound-only and bimodal sound and text conditions (Exps. 1, 2a, 2b); (2) Cross-modal visual-auditory nonword reaction time priming was found in Experiment 3 (masked priming), and Experiment 5 (a rhyme monitoring task) revealed nonword reaction time priming only for the text-only and bimodal conditions; (3) On two experiments' implicit tests, the bimodal condition showed fewer errors for known words (Exp. 4) and nonwords (Exps. 4, 5) relative to sound-only and new items; (4) On explicit tests, scores were highest in the bimodal condition for known words (Exps, 1, 2a, 2b, 4), unknown words (Exps. 2a, 2b) and nonwords (Exps. 4, 5). Overall, the results suggest that simultaneous bimodal input can improve some implicit and explicit aspects of spoken word form learning without any apparent costs. The results are discussed in terms of implications for same-language subtitling and models of word recognition and memory.
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Beierl, Philip G. "Finite memory model for haptic recognition." Thesis, Monterey, California. Naval Postgraduate School, 1991. http://hdl.handle.net/10945/28217.

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Damjanovic, Ljubica. "Memory processes in familiar voice recognition." Thesis, University of Essex, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.413126.

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Fahy, Frances Lynne. "Neural mechanisms underlying visual recognition memory." Thesis, University of Bristol, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.386899.

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Books on the topic "Recognition memory"

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Beierl, Philip G. Finite memory model for haptic recognition. Monterey, Calif: Naval Postgraduate School, 1991.

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Semantic priming: Perspectives from memory and word recognition. New York: Psychology Press, 2005.

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Denning, Peter J. Sparse disributed memory. [Moffett Field, Calif.?]: Research Institute for Advanced Computer Science, [NASA Ames Research Center, 1989.

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Pigozzo, Mistelle. Recognition memory of faces and names in males and females. Sudbury, Ont: Laurentian University, 2004.

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Meyers, John E. B. Rey complex figure test and recognition trial: Professional manual. Odessa, FL: Psychological Assessment Resources, 1995.

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Morel, Jane B. The effects of mood induction on the recognition memory of word types. Sudbury, Ont: Laurentian University, Department of Psychology, 1990.

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Kanerva, Pentti. Efficient packing of patterns in sparse distributed momory by selective weighting of input bits. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1991.

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Lachmann, Thomas. Vergleichen und Erkennen: Vorgänge im Gedächtnis bei der visuellen Relationserkennung. Lengerich: Pabst, 2000.

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Lachmann, Thomas. Vergleichen und Erkennen: Vorgänge im Gedächtnis bei der visuellen Relationserkennung. Lengerich: Pabst, 2000.

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Lachmann, Thomas. Vergleichen und Erkennen: Vorgänge im Gedächtnis bei der visuellen Relationserkennung. Lengerich: Pabst, 2000.

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Book chapters on the topic "Recognition memory"

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Rich, Jill B. "Recognition Memory." In Encyclopedia of Clinical Neuropsychology, 2124–28. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-0-387-79948-3_1148.

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Holcomb, Matthew J., and Raymond S. Dean. "Recognition Memory." In Encyclopedia of Child Behavior and Development, 1232–33. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-79061-9_2368.

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Ritvo, Ariella Riva, Fred R. Volkmar, Karen M. Lionello-Denolf, Trina D. Spencer, James Todd, Nurit Yirmiya, Maya Yaari, et al. "Recognition Memory." In Encyclopedia of Autism Spectrum Disorders, 2531. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1698-3_859.

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Jahromi, Laudan B. "Recognition Memory." In Encyclopedia of Autism Spectrum Disorders, 3890–91. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-91280-6_859.

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Keverne, Eric B., Peter A. Brennan, and Keith M. Kendrick. "Olfactory Recognition Memory." In Olfaction and Taste XI, 490–93. Tokyo: Springer Japan, 1994. http://dx.doi.org/10.1007/978-4-431-68355-1_203.

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Rich, Jill B. "Recognition Memory Test." In Encyclopedia of Clinical Neuropsychology, 1–6. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56782-2_1148-2.

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Rich, Jill B. "Recognition Memory Test." In Encyclopedia of Clinical Neuropsychology, 2952–57. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-57111-9_1148.

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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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Teo, Yugin. "Recognition and Testimony." In Kazuo Ishiguro and Memory, 63–83. London: Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137337191_4.

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Conference papers on the topic "Recognition memory"

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Cherri, A. K., Abdul Ahab S. Awwal, and Mohammad A. Karim. "Character recognition using a trinary associative memory." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1989. http://dx.doi.org/10.1364/oam.1989.tht30.

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A trinary (or ternary) neuron representation for Hopfield's associative memory1 has been recently found to be more effective in associative recall. The trinary associative memory overcomes the discrepancies associated with the unipolar binary and bipolar binary representations of neurons.2 In the trinary neuron representation, the known portion of the partial input is represented in bipolar binary and the unknown portion is represented by a string of 0s. In this work, the trinary associative memory is used to process 1-D as well as 2-D stored images such as those encountered in character recognition applications.
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Kapoor, A., S. Baker, S. Basu, and E. Horvitz. "Memory constrained face recognition." In 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2012. http://dx.doi.org/10.1109/cvpr.2012.6247971.

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Liu, Dan, Mao Ye, Xudong Li, Feng Zhang, and Lan Lin. "Memory-based Gait Recognition." In British Machine Vision Conference 2016. British Machine Vision Association, 2016. http://dx.doi.org/10.5244/c.30.82.

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Cai, Jiarui, Mingze Xu, Wei Li, Yuanjun Xiong, Wei Xia, Zhuowen Tu, and Stefano Soatto. "MeMOT: Multi-Object Tracking with Memory." In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2022. http://dx.doi.org/10.1109/cvpr52688.2022.00792.

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Tjong Kim Sang, Erik F. "Memory-based named entity recognition." In proceeding of the 6th conference. Morristown, NJ, USA: Association for Computational Linguistics, 2002. http://dx.doi.org/10.3115/1118853.1118878.

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Davison, C., J. M. Coupland, and N. A. Halliwell. "Parallel Access Optical Disks as Memory and Processing Elements for High Speed Pattern Recognition Systems." In Symposium on Optical Memory. Washington, D.C.: Optica Publishing Group, 1996. http://dx.doi.org/10.1364/isom.1996.otub.7.

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The potential of optical processing techniques for high speed pattern recognition and vision systems was demonstrated over thirty years ago by Vanderlugt [1]. In his early experiments Vanderlugt prepared linear filters with transfer characteristics matched to an object of interest using holographic techniques. Once inserted into a coherent optical processing system these elements could be used to interrogate an input transparency, clearly marking each occurrence of a given object. Since this type of filter is matched to a single signal, however, it is sensitive to small changes in structure, scale and rotation which occur, in general, if the system is required to identify a particular class of object. In order to alleviate this problem, computer synthesis has facilitated the fabrication of other linear filters capable of classifying objects according to rules obtained from sets of training images [2].
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Lu, Taiwei, Andrew Kostrzewski, Hung Chou, and Freddie Lin. "Space and Fourier domain holographic associative memory for robust pattern recognition." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/oam.1991.mii6.

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A 2-D associative memory of N×N input/output elements require a 4-D memory matrix of N4 elements. It is difficult to implement a fully parallel large size electronic associative memory in view of the 1-D interconnection limitations. Optical holographic media provides high resolution, large dynamic range, and 3-D reconstruction capabilities. These properties lead to the design of a large scale holographic associative memory (HAM) for parallel auto- and heteroassociations. A new N4 recording scheme has been employed in an automatic recording system that is capable of recording a 4-D memory matrix to a 2-D array of up to 256 × 256 holograms. An interpattem association training model is used to extract special features of the stored patterns and to construct excitatory and inhibitory interconnections in the associative memory. An LCTV based prototype system has been constructed and a 32 × 32 element HAM installed for real-time pattern recognition. Since most spatial domain HAMs cannot perform distortion invariant pattern recognition, a Fourier domain HAM is proposed to store multiple synthetic filters for prompt shift-scale-rotation invariant pattern recognition.
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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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Reports on the topic "Recognition memory"

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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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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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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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Tarr, Michael J. Presentations of Shape in Object Recognition and Long-Term Visual Memory. Fort Belvoir, VA: Defense Technical Information Center, April 1994. http://dx.doi.org/10.21236/ada281336.

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Tarr, Michael J. Representations of Shape in Object Recognition and Long-Term Visual Memory. Fort Belvoir, VA: Defense Technical Information Center, June 1996. http://dx.doi.org/10.21236/ada310172.

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Tarr, Michael J. Representations of Shape in Object Recognition and Long-Term Visual Memory. Fort Belvoir, VA: Defense Technical Information Center, February 1993. http://dx.doi.org/10.21236/ada264342.

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Meagher, Christopher. Recall and recognition memory under varying conditions of hypnotically suggested amnesia. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.2981.

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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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Price, Ryan. Hierarchical Temporal Memory Cortical Learning Algorithm for Pattern Recognition on Multi-core Architectures. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.202.

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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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