We developed a data-driven, statistical approach for investigating the encoding and decoding of information in LIP spike trains during a sensorimotor decision-making task.

The experimental results show that the joint source-channel encoding/decoding scheme has obtained better performance than existing joint iterative decoding based on the bit-level super trellis.

The researchers also were able to use models trained with data from one human subject to predict and decode the brain activity of a different human subject, a process called cross-subject encoding and ...