66 citations · 71 across the 7 of their papers we have counts for
7 papers
On Neural Phone Recognition of Mixed-Source ECoG Signals
Ahmed Hussen Abdelaziz, Shuo-Yiin Chang, Nelson Morgan +5
The emerging field of neural speech recognition (NSR) using electrocorticography has recently attracted remarkable research interest for studying how human brains recognize speech…
Brain2Char: A Deep Architecture for Decoding Text from Brain Recordings
Pengfei Sun, Gopala K. Anumanchipalli, Edward F. Chang
Decoding language representations directly from the brain can enable new Brain-Computer Interfaces (BCI) for high bandwidth human-human and human-machine communication. Clinically,…
Modeling neural dynamics during speech production using a state space variational autoencoder
Pengfei Sun, David A. Moses, Edward Chang
Characterizing the neural encoding of behavior remains a challenging task in many research areas due in part to complex and noisy spatiotemporal dynamics of evoked brain activity.…
Spiking Linear Dynamical Systems on Neuromorphic Hardware for Low-Power Brain-Machine Interfaces
David G. Clark, Jesse A. Livezey, Edward F. Chang +1
Neuromorphic architectures achieve low-power operation by using many simple spiking neurons in lieu of traditional hardware. Here, we develop methods for precise linear computation…
Deep learning as a tool for neural data analysis: speech classification and cross-frequency coupling in human sensorimotor cortex
Jesse A. Livezey, Kristofer E. Bouchard, Edward F. Chang
A fundamental challenge in neuroscience is to understand what structure in the world is represented in spatially distributed patterns of neural activity from multiple single-trial…
Union of Intersections (UoI) for Interpretable Data Driven Discovery and Prediction
Kristofer E. Bouchard, Alejandro F. Bujan, Farbod Roosta-Khorasani +7
The increasing size and complexity of scientific data could dramatically enhance discovery and prediction for basic scientific applications. Realizing this potential, however, requ…