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The Existence of Two Variant Processes in Human Declarative Memory: Evidence Using Machine Learning Classification Techniques in Retrieval Tasks.

A. Frid, H. Hazan, E. Koilis, L. Manevitz, M. Merhav, and G. Star. Trans. Comput. Collect. Intell., (2016)

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Ascher Isakoff Hananel

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Computational Diagnosis of Parkinson's Disease Directly from Natural Speech Using Machine Learning Techniques.A. Frid, H. Hazan, D. Hilu, L. Manevitz, L. Ramig, and S. Sapir. SwSTE, page 50-53. IEEE, (2014)Lattice map spiking neural networks (LM-SNNs) for clustering and classifying image data.H. Hazan, D. Saunders, D. Sanghavi, H. Siegelmann, and R. Kozma. Ann. Math. Artif. Intell., 88 (11): 1237-1260 (2020)Locally Connected Spiking Neural Networks for Unsupervised Feature LearningD. Saunders, D. Patel, H. Hazan, H. Siegelmann, and R. Kozma. (2019)cite arxiv:1904.06269Comment: 22 pages, 7 figures, and 4 tables.Non-parametric temporal modeling of the hemodynamic response function via a liquid state machine.P. Avesani, H. Hazan, E. Koilis, L. Manevitz, and D. Sona. Neural Networks, (2015)Stability and Topology in Reservoir Computing.L. Manevitz, and H. Hazan. MICAI (2), volume 6438 of Lecture Notes in Computer Science, page 245-256. Springer, (2010)Machine Learning Techniques and the Existence of Variant Processes in Humans Declarative Memory.A. Frid, H. Hazan, E. Koilis, L. Manevitz, M. Merhav, and G. Star. IJCCI (NCTA), page 114-121. SciTePress, (2015)Control Flow in Active Inference Systems - Part I: Classical and Quantum Formulations of Active Inference.C. Fields, F. Fabrocini, K. Friston, J. Glazebrook, H. Hazan, M. Levin, and A. Marciano. IEEE Trans. Mol. Biol. Multi Scale Commun., 9 (2): 235-245 (June 2023)Topological constraints and robustness in liquid state machines.H. Hazan, and L. Manevitz. Expert Syst. Appl., 39 (2): 1597-1606 (2012)Unsupervised Learning with Self-Organizing Spiking Neural Networks.H. Hazan, D. Saunders, D. Sanghavi, H. Siegelmann, and R. Kozma. IJCNN, page 1-6. IEEE, (2018)Learning BOLD Response in fMRI by Reservoir Computing.P. Avesani, H. Hazan, E. Koilis, L. Manevitz, and D. Sona. PRNI, page 57-60. IEEE Computer Society, (2011)

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The Existence of Two Variant Processes in Human Declarative Memory: Evidence Using Machine Learning Classification Techniques in Retrieval Tasks.

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Ascher Isakoff Hananel

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML The Existence of Two Variant Processes in Human Declarative Memory: Evidence Using Machine Learning Classification Techniques in Retrieval Tasks.

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Ascher Isakoff Hananel

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The Existence of Two Variant Processes in Human Declarative Memory: Evidence Using Machine Learning Classification Techniques in Retrieval Tasks.