| Characterizing neural activity in cognitively inspired RL agents during an evidence accumulation task J Mochizuki-Freeman, SS Maini, Z Tiganj 2023 international joint conference on neural networks (ijcnn), 01-09, 2023 | 5 | 2023 |
| Representing latent dimensions using compressed number lines SS Maini, J Mochizuki-Freeman, CS Indi, BG Jacques, PB Sederberg, ... 2023 international joint conference on neural networks (ijcnn), 1-10, 2023 | 1 | 2023 |
| Geometry of abstract learned knowledge in deep RL agents J Mochizuki-Freeman, MR Kabir, M Gulecha, Z Tiganj Neurips 2023 workshop on symmetry and geometry in neural representations, 2023 | 1 | 2023 |
| Incorporating a cognitive model for evidence accumulation into deep reinforcement learning agents J Mochizuki-Freeman, MR Kabir, Z Tiganj Proceedings of the Annual Meeting of the Cognitive Science Society 46, 2024 | | 2024 |
| Evidence accumulation in deep RL agents powered by a cognitive model J Mochizuki-Freeman, SS Maini, Z Tiganj NeurIPS 2022 Memory in Artificial and Real Intelligence workshop, 2022 | | 2022 |
| Constructing compressed number lines of latent variables using a cognitive model of memory and deep neural networks SS Maini, J Mochizuki-Freeman, CS Indi, BG Jacques, PB Sederberg, ... NeurIPS 2022 Memory in Artificial and Real Intelligence workshop, 2022 | | 2022 |
