The work relies in part on a transformer model, similar to the ones that power Open AI’s ChatGPT and Google’s Bard. Unlike other language decoding systems in development, this system does not require ...

Earlier this year, he succeeded. 1 To build a language decoder, Huth first needed functional MRI (fMRI) data to input into the model. He and his team recorded brain activity from participants as they ...

“We’re getting the model to decode continuous language for extended periods of time with complicated ideas.” Huth and his colleagues collected hours of data from three participants listening ...

We used this dataset to build a model that takes in any sequence of words and predicts how the participant’s brain would respond when processing those words. To decode new brain recordings ...

Here, too, the decoding model captured the gist of the unspoken version. Participant’s version: “Look for a message from my wife saying that she had changed her mind and that she was coming ...

Inspecting the person’s brain scans, the model went on to decode, “i just continued to walk up to the window and open the glass i stood on my toes and peered out i didn’t see anything and ...

"We're getting the model to decode continuous language for extended periods of time with complicated ideas." The system requires extensive training to work, Huth noted. "A person needs to spend up ...