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Control Flow in Active Inference Systems - Part II: Tensor Networks as General Models of Control Flow.

C. Fields, F. Fabrocini, K. Friston, J. Glazebrook, H. Hazan, M. Levin, and A. Marciano. IEEE Trans. Mol. Biol. Multi Scale Commun., 9 (2): 246-256 (June 2023)

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Ascher Isakoff Hananel

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BindsNET: A machine learning-oriented spiking neural networks library in Python.H. Hazan, D. Saunders, H. Khan, D. Sanghavi, H. Siegelmann, and R. Kozma. CoRR, (2018)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)Two hemispheres - two networks: a computational model explaining hemispheric asymmetries while reading ambiguous words.O. Peleg, L. Manevitz, H. Hazan, and Z. Eviatar. Ann. Math. Artif. Intell., 59 (1): 125-147 (2010)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)Memory via Temporal Delays in weightless Spiking Neural Network.H. Hazan, S. Caby, C. Earl, H. Siegelmann, and M. Levin. CoRR, (2022)Topological constraints and robustness in liquid state machines.H. Hazan, and L. Manevitz. Expert Syst. Appl., 39 (2): 1597-1606 (2012)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)BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python.H. Hazan, D. Saunders, H. Khan, D. Patel, D. Sanghavi, H. Siegelmann, and R. Kozma. Frontiers Neuroinformatics, (2018)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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Control Flow in Active Inference Systems - Part II: Tensor Networks as General Models of Control Flow.

Please choose a person to relate this publication to

Ascher Isakoff Hananel

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Disambiguation of "Hazan, Hananel"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Control Flow in Active Inference Systems - Part II: Tensor Networks as General Models of Control Flow.

Please choose a person to relate this publication to

Ascher Isakoff Hananel

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URL
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Control Flow in Active Inference Systems - Part II: Tensor Networks as General Models of Control Flow.