ADAPTIVE NEURAL INTERFACES
NEURAL INTERFACES TO STUDY LEARNING
NEURAL IMPLANTS FOR STUDYING LARGE-SCALE CIRCUITS
"We are an interdisciplinary group that explores neural interfaces as adaptive closed-loop systems. We use engineering approaches to leverage neural adaptation for improved interfaces, and use neural interfaces as a tool to study neural mechanisms of learning. The lab also specializes in system integration for advancing neurotechnologies to study neural circuits in awake primates for basic science and towards human translation.”
V. R. Athalye, P. Khanna, S. Gowda, A. L. Orsborn, R. M. Costa, and J. M. Carmena (2021). The brain sues invariant dynamics to generalize outputs across movements. Bioarxiv  (link, open)
A. K. You, B. Liu, A. Singhal, S. Gowda, H. Moorman, A. L. Orsborn, K. Ganguly, J. M. Carmena (2019). Flexible modulation of neural variance facilitates neuroprosthetic skill learning. Bioarxiv  (link, open)