Joel Ye

The paper trains an autoregressive Transformer on neural spiking data to decode motor behavior, showing broad utility across tasks but highlighting limitations in scaling.

The paper introduces FALCON, a benchmark suite for evaluating robustness of iBCI decoders using standardized datasets and evaluation metrics.

NDT2 pretrains a spatiotemporal Transformer on multi-session motor BCI data to improve decoding performance across novel contexts.

The paper introduces a non-recurrent model, Neural Data Transformer, that captures neural population dynamics as effectively as recurrent models but with faster inference.