Počet záznamov: 1  

Contributions by metaplasticity to solving the Catastrophic Forgetting Problem

  1. NázovContributions by metaplasticity to solving the Catastrophic Forgetting Problem
    Autor Jedlička Peter
    Spoluautori Tomko Matúš 1993- SAVMOFYZ - Ústav molekulárnej fyziológie a genetiky SAV    SCOPUS    ORCID

    Robins Anthony

    Wickliffe Abraham C.

    Zdroj.dok. Trends in Neurosciences. Vol. 45, no. 9 (2022), p. 656-666
    Jazyk dok.eng - angličtina
    KrajinaGB - Veľká Británia
    URLURL link
    Druh dok.rozpis článkov z periodík (rbx)
    OhlasyCARHART-HARRIS, R. L. - CHANDARIA, S. - ERRITZOE, D. E. - GAZZALEY, A. - GIRN, M. - KETTNER, H. - MEDIANO, P. A. M. - NUTT, D. J. - ROSA, F. E. - ROSEMAN, L. - TIMMERMANN, C. - WEISS, B. - ZEIFMAN, R. J. - FRISTON, K. J. Canalization and plasticity in psychopathology. In NEUROPHARMACOLOGY, 2023, vol. 226, no., pp. ISSN 0028-3908. Dostupné na: https://doi.org/10.1016/j.neuropharm.2022.109398.
    ABERNOT, Madeleine - AZEMARD, Nadine - TONDRI-SANIAL, Aida Oscillatory neural network learning for pattern recognition: an on-chip learning perspective and implementation. In FRONTIERS IN NEUROSCIENCE, 2023, vol. 17, art. no. 1196796, ISSN 1662-453X. Dostupné na https://doi.org/10.3389/fnins.2023.1196796
    JEON, Ikhwan - KIM, Taegon. Distinctive properties of biological neural networks and recent advances in bottom-up approaches toward a better biologically plausible neural network. In FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2023, vol. 17, art. no. 1092185, ISSN 1662-5188. Dostupné na: https://doi.org/10.3389/fncom.2023.1092185
    YIFAN, Chang - YULU, Chen - YADAN, Zhang - WENBO, Li. Continual learning in an easy-to-hard manner. In APPLIED INTELIGENCE, 2023, vol. , no., pp., ISSN 0924-669X. Dostupné na: https://link.springer.com/article/10.1007/s10489-023-04454-2
    AO, S.I. - FAYEK, H. Continual Deep Learning for Time Series Modeling. In SENSORS. AUG 2023, vol. 23, no. 16. Dostupné na: https://doi.org/10.3390/s23167167.
    MANUKIAN, M. - BAHDASARIANTS, S. - YAKOVENKO, S. Artificial physics engine for real-time inverse dynamics of arm and hand movement. In PLOS ONE. ISSN 1932-6203, DEC 13 2023, vol. 18, no. 12. Dostupné na: https://doi.org/10.1371/journal.pone.0295750.
    HIDAYATURRAHMAN - JEREMY, Nicholaus Hendrik - PHILIP, Samuel - LIE, Filippo Jonathan - PRAWIRA, Indra. Catastrophic Forgetting within AI-Generated Dataset. In IWAIIP 2023 Conference Proceeding: International Workshop on Artificial Intelligence and Image Processing, 2023-01-01, pp. 101-105. Dostupné na: https://doi.org/10.1109/IWAIIP58158.2023.10462836.
    LÄSSIG, Francesco - ACEITUNO, Pau Vilimelis - SORBARO, Martino - GREWE, Benjamin F. Bio-inspired, task-free continual learning through activity regularization. In Biological Cybernetics, 2023-10-01, 117, 4-5, pp. 345-361. ISSN 03401200. Dostupné na: https://doi.org/10.1007/s00422-023-00973-w.
    DRAGOI, G. The generative grammar of the brain: a critique of internally generated representations. In NATURE REVIEWS NEUROSCIENCE. ISSN 1471-003X, JAN 2024, vol. 25, no. 1, p. 60-75. Dostupné na: https://doi.org/10.1038/s41583-023-00763-0.
    ZHAO, Z.Y. - WANG, J. - TAO, Q. - LI, A.D. - CHEN, Y.Y. An unknown wafer surface defect detection approach based on Incremental Learning for reliability analysis. In RELIABILITY ENGINEERING & SYSTEM SAFETY. ISSN 0951-8320, APR 2024, vol. 244. Dostupné na: https://doi.org/10.1016/j.ress.2024.109966.
    JULIANI, A. - SAFRON, A. - KANAI, R. Deep CANALs: a deep learning approach to refining the canalization theory of psychopathology. In NEUROSCIENCE OF CONSCIOUSNESS. MAR 26 2024, vol. 2024, no. 1, SI. Dostupné na: https://doi.org/10.1093/nc/niae005.
    WANG, L.Y. - ZHANG, X.X. - SU, H. - ZHU, J. A Comprehensive Survey of Continual Learning: Theory, Method and Application. In IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. ISSN 0162-8828, AUG 2024, vol. 46, no. 8, p. 5362-5383. Dostupné na: https://doi.org/10.1109/TPAMI.2024.3367329.
    FRAGKOU, Evangelia - KATSAROS, Dimitrios. Non-static TinyML for ad hoc networked devices. In TinyML for Edge Intelligence in IoT and LPWAN Networks, 2024-01-01, pp. 231-253. Dostupné na: https://doi.org/10.1016/B978-0-44-322202-3.00015-4.
    KategóriaADCA - Vedecké práce v zahraničných karentovaných časopisoch impaktovaných
    Kategória (od 2022)V3 - Vedecký výstup publikačnej činnosti z časopisu
    Typ výstupučlánok
    Rok vykazovania2022
    Registrované vWOS
    Registrované vSCOPUS
    Registrované vCCC
    DOI 10.1016/j.tins.2022.06.002
    článok

    článok

    Názov súboruPrístupVeľkosťStiahnutéTypLicence
    Contributions by metaplasticity to solving the Catastrophic Forgetting Problem.pdfNeprístupný/archív1.7 MB0Vydavateľská verzia
    rokCCIFIF Q (best)JCR Av Jour IF PercSJRSJR Q (best)CiteScore
    A
    rok vydaniarok metrikyIFIF Q (best)SJRSJR Q (best)
    2022202116.978Q14.068Q1
Počet záznamov: 1  

  Tieto stránky využívajú súbory cookies, ktoré uľahčujú ich prezeranie. Ďalšie informácie o tom ako používame cookies.