Aashish N. Patel

This paper improves uncertainty estimation in brain-to-text BCIs by modifying training objectives and evaluation metrics, leading to more reliable and informative predictions.

This paper introduces SONIC, a benchmarking paradigm for BCIs, demonstrating an ITR of over 200 bps using an ovine model and the Connexus BCI.

This paper demonstrates the use of LSTM networks for neural decoding in BCIs, showing improved accuracy and robustness compared to traditional linear models.