| Quantifying extrinsic curvature in neural manifolds F Acosta, S Sanborn, KD Duc, M Madhav, N Miolane Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 7 | 2023 |
| Identifying interpretable visual features in artificial and biological neural systems D Klindt, S Sanborn, F Acosta, F Poitevin, N Miolane arXiv preprint arXiv:2310.11431, 2023 | 5 | 2023 |
| Not so griddy: Internal representations of RNNs path integrating more than one agent W Redman, F Acosta, S Acosta-Mendoza, N Miolane Advances in Neural Information Processing Systems 37, 22657-22689, 2024 | 2 | 2024 |
| Evaluation of Representational Similarity Scores Across Human Visual Cortex F Acosta, C Conwell, S Sanborn, DA Klindt, N Miolane UniReps: the First Workshop on Unifying Representations in Neural Models, 2023 | 2 | 2023 |
| Latent computing by biological neural networks: A dynamical systems framework F Dinc, M Blanco-Pozo, D Klindt, F Acosta, Y Jiang, S Ebrahimi, A Shai, ... arXiv preprint arXiv:2502.14337, 2025 | 1 | 2025 |
| Relating Representational Geometry to Cortical Geometry in the Visual Cortex F Acosta, C Conwell, S Sanborn, D Klindt, N Miolane NeurIPS Workshop on Unifying Representations, 2023 | 1 | 2023 |
| Global Distortions from Local Rewards: Neural Coding Strategies in Path-Integrating Neural Systems F Acosta, F Dinc, W Redman, M Madhav, D Klindt, N Miolane Advances in Neural Information Processing Systems 37, 100241-100269, 2024 | | 2024 |
Nina MiolaneAssistant Professor at UC Santa BarbaraVerified email at ucsb.edu