| Hierarchical intrinsically motivated agent planning behavior with dreaming in grid environments E Dzhivelikian, A Latyshev, P Kuderov, AI Panov Brain Informatics 9 (1), 8, 2022 | 12 | 2022 |
| Stabilize sequential data representation via attraction module P Kuderov, E Dzhivelikian, AI Panov International Conference on Brain Informatics, 83-95, 2023 | 4 | 2023 |
| Intrinsic motivation to learn action-state representation with hierarchical temporal memory E Dzhivelikian, A Latyshev, P Kuderov, AI Panov International Conference on Brain Informatics, 13-24, 2021 | 4 | 2021 |
| Learning hidden Markov model of stochastic environment with bio-inspired probabilistic temporal memory E Dzhivelikian, P Kuderov, AI Panov Biologically Inspired Cognitive Architectures Meeting, 330-339, 2023 | 3 | 2023 |
| Learning Successor Representations with Distributed Hebbian Temporal Memory E Dzhivelikian, P Kuderov, AI Panov arXiv preprint arXiv:2310.13391, 2023 | 1 | 2023 |
| Hebbian spatial encoder with adaptive sparse connectivity P Kuderov, E Dzhivelikian, AI Panov Cognitive Systems Research 88, 101277, 2024 | | 2024 |
| Soft Adaptive Segments for Bio-Inspired Temporal Memory A Prokhorenko, E Dzhivelikian, P Kuderov, A Panov International Conference on Hybrid Artificial Intelligence Systems, 202-213, 2024 | | 2024 |
| Attractor Properties of Spatiotemporal Memory in Effective Sequence Processing Task P Kuderov, E Dzhivelikian, AI Panov Optical Memory and Neural Networks 32 (Suppl 2), S284-S292, 2023 | | 2023 |
| Hebbian Spatial Encoder with Adaptive Sparse Connectivity A Panov, P Kuderov, E Dzhivelikian Available at SSRN 4864801, 0 | | |
Petr KuderovPhD student, MIPT; researcher at AIRIVerified email at phystech.edu