| Binary autoencoder with random binary weights V Osaulenko arXiv preprint arXiv:2004.14717, 2020 | 5 | 2020 |
| Increasing capacity of association memory by means of synaptic clustering V Osaulenko, B Girau, O Makarenko, P Henaff Neural Processing Letters 50, 2717-2730, 2019 | 4 | 2019 |
| Application of Cellular Automates in Some Models of Artificial Intelligence OS Makarenko, VM Osaulenko 2018 IEEE First International Conference on System Analysis & Intelligent …, 2018 | 3 | 2018 |
| Двовимірна модель навчання у спайкових нейронних мережах з гомеостазом та навчанням з підкріпленням VM Osaulenko Системні дослідження та інформаційні технології, 130-140, 2017 | 3 | 2017 |
| Expansion of Information in the Binary Autoencoder With Random Binary Weights VM Osaulenko Neural Computation 33 (11), 3073-3101, 2021 | 2 | 2021 |
| Formation of cell assemblies with iterative winners-take-all computation and excitation-inhibition balance V Osaulenko, D Ulianych arXiv preprint arXiv:2108.00706, 2021 | 1 | 2021 |
| On the quest to recreate intelligence. Review of Exploring robotic minds: Actions, symbols, and consciousness as self-organizing dynamic phenomena, Jun Tani. Oxford University … V Osaulenko Cognitive Systems Research 51, 56-60, 2018 | 1 | 2018 |
| Simple model for sequence prediction based on dendritic spatiotemporal integration VM Osaulenko System research and information technologies, 133-141, 2018 | 1 | 2018 |
| Testing simple neuron models with dendrites for sparse binary image representation VM Osaulenko Штучний інтелект, 2017 | 1 | 2017 |
| On learning spatial sequences with the movement of attention VM Osaulenko arXiv preprint arXiv:2311.06856, 2023 | | 2023 |
