Joseph G. Makin

Deep Neural Networks Explain Spiking Activity in Auditory Cortex

The paper shows that deep neural networks trained on speech audio can predict spiking activity in auditory cortex neurons at fine time scales better than traditional models and untrained networks.

Machine translation of cortical activity to text with an encoder-decoder framework

The paper develops an encoder-decoder framework to translate cortical activity into text with high accuracy and speed using electrocorticogram data.