Publications

2025

• Selective changes in cortical cholinergic signaling during learning

  Ortega Caro, J., Batchelor, H. M., Lohani, S., van Dijk, D., & Cardin, J. A.

  bioRxiv, 2025-08 Preprint

  Paper

2024

• Learning integral operators via neural integral equations

  Zappala, E., Fonseca, A., Caro, J. O. & van Dijk, D.

  Nature Machine Intelligence, 1-17 Nature MI

  Paper
• Cell2sentence: Teaching large language models the language of biology

  Levine, D., Lévy, S., Rizvi, S. A., Pallikkavaliyaveetil, N., Chen, X., Zhang, D., ... Ortega Caro, J., Karbasi, A., Dhodapkar, R., & van Dijk, D.

  Proceedings of the International Conference on Machine Learning (ICML), July 2024 ICML

  Paper
• BrainLM: A foundation model for brain activity recordings

  Ortega Caro, J., Oliveira Fonseca, A. H., Averill, C., Rizvi, S. A., Rosati, M., Cross, J. L., ... & van Dijk, D.

  Proceedings of the International Conference on Learning Representations (ICLR), May 2024 ICLR

  Paper Code
• Translational symmetry in convolutions with localized kernels causes an implicit bias toward high frequency adversarial examples

  Caro, J. O., Ju, Y., Pyle, R., Dey, S., Brendel, W., Anselmi, F. & Patel, A.

  Frontiers in Computational Neuroscience, 18, 1387077 Frontiers

  Paper
• Linking convolutional kernel size to generalization bias in face analysis CNNs

  Liang, H., Caro, J. O., Maheshri, V., Patel, A. B., & Balakrishnan, G.

  IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 4705–4715 WACV

  Paper

2023

• Continuous Spatiotemporal Transformers

  Fonseca, A., Zappala, E., Caro, J. O. & van Dijk, D.

  Proceedings of the International Conference on Machine Learning (ICML), July 2023 ICML

  Paper
• Robust deep learning object recognition models rely on low frequency information in natural images

  Li, Z.*, Caro, J. O.*, Rusak, E., Brendel, W., Bethge, M., Anselmi, F., Patel, A. B., Tolias, A. & Pitkow, X. (* Co-first Authors)

  PLOS Computational Biology, 19(3), e1010932 PLOS Comp. Bio.

  Paper

2022

• AMPNet: Attention as Message Passing for Graph Neural Networks

  Rizvi, S., Nguyen, N., Lyu, H., Christensen, B., Caro, J. O., Zappala, E., Brbic, M., Dhodapkar, R. M. & van Dijk, D.

  arXiv preprint arXiv:2210.09475 Preprint

  Paper
• Understanding robustness and generalization of artificial neural networks through Fourier masks

  Karantzas, N., Besier, E., Caro, J. O., Pitkow, X., Tolias, A. S., Patel, A. B., & Anselmi, F.

  Frontiers in Artificial Intelligence, 2022 Frontiers

  Paper
• Shallow Univariate ReLU Networks as Splines: Initialization, Loss Surface, Hessian, & Gradient Flow Dynamics

  Sahs, J., Pyle, R., Damaraju, A., Caro, J. O., Tavaslioglu, O., Lu, A., & Patel, A.

  Frontiers in Artificial Intelligence, 2022 Frontiers

  Paper

2017

• Recurrent computations for visual pattern completion

  Tang, H., Schrimpf, M., Lotter, W., Moerman, C., Paredes, A., Caro, J. O., ... & Kreiman, G.

  Proceedings of the National Academy of Sciences, 2017, 19397 PNAS

  Paper