Wu, P., Shankar, A., Chiu, A., Shahab, M., Burgess, C., Savier, E., & Draelos, A. (2026). Real-Time Bayesian Optimization for Efficient Multidimensional Neural Tuning Characterization. Computational and Systems Neuroscience (COSYNE) Abstracts. Abstract
Cao, Y., Chukkapalli, Y., Canchi, S., Umashankar, V., Luquez, T., Janve, V., Hohman, T., Menon, Draelos, A., & Kaczorowski, C. (2025). Uncovering hidden factors of cognitive resilience in Alzheimer’s disease using a conditional-Gaussian mixture variational autoencoder. Nature Npj Dementia, 1. Paper
Draelos, A., Nikitchenko, M., Sriworarat, C., Sprague, D., Loring, M. D., Pnevmatikakis, E., Giovannucci, A., Naumann, E. A., & Pearson, J. M. (2025). improv: A flexible software platform for adaptive neuroscience experiments. Nature Communications, 16. Paper
Temmar, H., Wang, Y., Gill, N., Mellon, N., Liu, C., Cubillos, L., Parsons, R., Costello, J., Ceradini, M., Kelberman, M., Mender, M., Hite, A., Wallace, D., Nason-Tomaszewski, S., Patil, P., Willsey, M., Draelos, A., & Chestek, C. (2025). Long-term Intracortical Neural activity and Kinematics (LINK): An intracortical neural dataset for chronic brain-machine interfaces, neuroscience, and machine learning. Advances in Neural Information Processing Systems (NeurIPS). Paper
Gedela, N., Radawiec, R., Salim, S., Richie, J., Chestek, C., Draelos, A., & Pelled, G. (2025). In vivo electrophysiology recordings and computational modeling can predict octopus arm movement. Bioelectronic Medicine, 11. Paper
Cubillos, L., Revach, G., Mender, M., Costello, J., Temmar, H., Hite, A., Zutshi, D., Wallace, D., Ni, X., Kelberman, M., Willsey, M., Van Sloun, R., Shlezinger, N., Patil, P., Draelos, A., & Chestek, C. (2024). Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces. Advances in Neural Information Processing Systems (NeurIPS), 37. Paper
Prior Work
Draelos, A., Gupta, P., Jun, N. Y., Sriworarat, C., & Pearson, J. (2021). Bubblewrap: Online tiling and real-time flow prediction on neural manifolds. Advances in Neural Information Processing Systems, 34. Paper
Draelos, A., & Pearson, J. (2020). Online Neural Connectivity Estimation with Noisy Group Testing. Advances in Neural Information Processing Systems, 33. Paper
Draelos, A., Naumann, E. A., & Pearson, J. M. (2020). Online neural connectivity estimation with ensemble stimulation. ArXiv Preprint ArXiv:2007.13911. Paper
