At NeurIPS 2024, Brianna Karpowicz and Joel Ye presented the new Few-shot Algorithms for Consistent Neural decoding (FALCON) Benchmark. FALCON aims to provide rigorous selection criteria for robust intracortical brain-computer interface (iBCI) decoders, easing their translation to real-world devices.

Brianna Karpowicz successfully defends her PhD in Biomedical Engineering at Emory and Georgia Tech. Congrats Dr. Karpowicz !!!

At SfN 2024, Chethan Pandarinath, Nicholas Au Yong, and Rune Berg organized the first-ever minisyposium on population dynamics in the spinal cord at SfN 2024. The workshop, entitled “Unveiling the Neural Dynamics Underlying Movement and Respiration in the Spinal Cord and Medulla”, brought together leaders in the nascent (but rapidly growing) field of population recording in the cord.

At Cosyne 2024, Chris Versteeg and Chethan Pandarinath organized the workshop “Understanding Neural Computation using Task-Trained and Data-Trained Networks”. The workshop aimed to connect two major methodologies for using dynamics to bridge from neural activity to neural computation – task-trained and data-trained network modeling – and foster communication between researchers in both sub-disciplines.

Dr. Pandarinath will give a lecture at the 2024 National Academy of Engineering National Meeting entitled Machine Learning for Neural Decoding.