Draelos Lab @

University of Michigan

Recent Work

  1. 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.
  2. Draelos, A., Nikitchenko, M., Sriworarat, C., Sprague, D., Loring, M. D., Pnevmatikakis, E., Giovannucci, A., Naumann, E. A., & Pearson, J. M. (2024). improv: A flexible software platform for adaptive neuroscience experiments. BioRxiv, v2.
  3. Cubillos, L., ..., 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, 37.

Prior Work

  1. 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.
  2. Draelos, A., & Pearson, J. (2020). Online Neural Connectivity Estimation with Noisy Group Testing. Advances in Neural Information Processing Systems, 33.
  3. Draelos, A., Naumann, E. A., & Pearson, J. M. (2020). Online neural connectivity estimation with ensemble stimulation. ArXiv Preprint ArXiv:2007.13911.