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Assessment and training of visuospatial cognitive functions in virtual reality: proposal and perspective., , , , , , и . CogInfoCom, стр. 39-44. IEEE, (2018)Recursive Self-organizing Map as a Contractive Iterative Function System., , и . IDEAL, том 3578 из Lecture Notes in Computer Science, стр. 327-334. Springer, (2005)Embedding Complexity of Learned Representations in Neural Networks., и . ICANN (2), том 11728 из Lecture Notes in Computer Science, стр. 518-528. Springer, (2019)Exploration by self-supervised exploitation., , и . CoRR, (2023)Computational analysis of the Bidirectional Activation-based Learning in autoencoder task., и . IJCNN, стр. 1-6. IEEE, (2015)Bidirectional Activation-based Neural Network Learning Algorithm., и . ICANN, том 8131 из Lecture Notes in Computer Science, стр. 154-161. Springer, (2013)UBAL: a Universal Bidirectional Activation-based Learning Rule for Neural Networks., , , , и . CIIS, стр. 57-62. ACM, (2019)Prediction of Chaotic Time-Series with a Resource-Allocating RBF Network., , и . Neural Processing Letters, 7 (3): 185-197 (1998)Towards More Biologically Plausible Error-Driven Learning for Artificial Neural Networks., , и . ICANN (3), том 11141 из Lecture Notes in Computer Science, стр. 228-231. Springer, (2018)RecViT: Enhancing Vision Transformer with Top-Down Information Flow., , и . VISIGRAPP (3): VISAPP, стр. 749-756. SCITEPRESS, (2024)