Category: Featured Publications

Authors: Mishler, J.H., Yun, R., Perlmutter, S., Rao, R.P.N. and Fetz, E.E. Publication: J. Neural Eng. Date: July 21, 2025 Abstract: Objective. Closed-loop brain-computer interfaces can be used to bridge, modulate, or repair damaged connections within the brain to restore functional deficits. Towards this goal, we demonstrate that small artificial spiking neural networks can be…

Authors: Brown, A.I., MacDuffie, K.E., Goering,S., Klein, E. Publication: Neuroethics Date: March 26, 2025 Abstract: Research participants in long-term, first-in-human trials of implantable neural devices (i.e., brain pioneers) are critical to the success of the emerging field of neurotechnology. How these participants fare in studies can make or break a research program. Yet, their ability…

Authors: Pierce, A.F., Shupe, L., Bloch, J., Fetz, E. and Yazdan-Shahmorad, A. Publication: Journal of Neuroscience Methods Date: June 13, 2025 Abstract: Computational models that predict effects of neural stimulation can serve as a preliminary tool to inform in-vivo research, reducing costs, time, and ethical considerations. However, current models do not support the diverse neural…

Authors: Orsborn, A.L. Publication: Nature Neuroscience Date: January 17, 2025 Abstract: Our brains evolved to help us rapidly learn new things. But anyone who has put in hours of practice to perfect their tennis serve, only to reach a plateau, can attest that our brains aren’t infinitely flexible. New work shows that patterns of neural…

Authors: Kasdin, J.*, Duffy, A.*, Nadler, N., Raha, A., Fairhall, A.L., Stachenfeld, K. and Gadagkar, V. Publication: Nature Date: March 12, 2025 Abstract: Many natural motor skills, such as speaking or locomotion, are acquired through a process of trial-and-error learning over the course of development. It has long been hypothesized, motivated by observations in artificial…

Authors: Rabiller, G., Ip, Z., Zarrabian, S., Zhang, H., Sato, Y., Yazdan-Shahmorad, A. and Liu, J. Publication: Aging and Disease Date: October 1, 2024 Abstract: Type 2 diabetes mellitus (T2DM) increases the risk of neurological diseases, yet how brain oscillations change as age and T2DM interact is not well characterized. To delineate the age and…

Authors: Driscoll, N., Antonini, M.J., Cannon, T.M., Maretich, P., Olaitan, G., Van, V.D.P., Nagao, K., Sahasrabudhe, A., Paniagua, E.V., Frey, E.J., Kim, Y.J., Hunt, S., Hummel, M., Mupparaju, S., Jasanoff, A., Venton, B.J. and Anikeeva, P.  Publication: Advanced Materials Date: November 6, 2024 Abstract: Recording and modulation of neuronal activity enables the study of brain…

Authors: Tubig, P. A., Brown, T. E., McCusker, D., Pham, M., Klein, E., & Goering, S. Publication: J. Resp. Innovation Date: October 24, 2024 Abstract: In this paper, we discuss ethics integration and consider questions about evaluating the success of such efforts by reporting qualitative data from an interview study with researchers who were part…

Authors: Chao-Hung Kuo, Liu Guan-Tze, Chi-En Lee, Jing Wu, Kaitlyn Casimo, Kurt E Weaver, Yu-Chun Lo, You-Yin Chen, Wen-Cheng Huang, andJeffrey G Ojemann. Publication: Journal of Neural Engineering Date: August 14, 2024 Abstract Background Electroencephalography (EEG) and electrocorticography (ECoG) recordings have been used to decode finger movements by analyzing brain activity. Traditional methods focused on…

Authors: Luke Bashford, Isabelle Anna Rosenthal, Spencer Kellis, David Bjanes, Kelsie Pejsa, Bingni W. Brunton and Richard A. Andersen Publication: Journal of Neural Engineering Date: August 12, 2024 Abstract Objective A crucial goal in brain-machine interfacing is the long-term stability of neural decoding performance, ideally without regular retraining. Long-term stability has only been previously demonstrated…