Using adversarial networks to extend brain computer interface decoding accuracy over time

Existing intracortical brain computer interfaces (iBCIs) transform neural activity into control signals capable of restoring movement to persons with paralysis. However, the accuracy of the “decoder” at the heart of the iBCI typically degrades over time due to turnover of recorded neurons. To compensate, decoders can be recalibrated, but this requires the user to spend extra time and effort to provide the necessary data, then learn the new dynamics. As the recorded neurons change, one can think of the underlying movement intent signal being expressed in changing coordinates. If a mapping can be computed between the different coordinate systems, it may be possible to stabilize the original decoder’s mapping from brain to behavior without recalibration. We previously proposed a method based on Generalized Adversarial Networks (GANs), called “Adversarial Domain Adaptation Network” (ADAN), which aligns the distributions of latent signals within underlying low-dimensional neural manifolds. H..., Electrophysiology:  
Depending on the task, we implanted a 96-channel Utah electrode array (Blackrock Neurotech, Inc.) in either the hand or arm representation area of the primary motor cortex (M1), contralateral to the arm being used for the task. The implant site was pre-planned and finally determined during the surgery with reference to the sulcal patterns and the muscle contractions evoked by intraoperative surface cortical stimulation. For each of monkeys J, S, G, and P, we also implanted intramuscular leads in forearm and hand muscles of the arm used for the task in a separate procedure. Electrode locations were verified during surgery by stimulating each lead.
Behavioral task:
Monkeys J and S were trained to perform an isometric wrist task, which required them to control the cursor on the screen by exerting forces on a small box placed around one of the hands. The box was padded to comfortably constrain the monkey’s hand and minimize its movement within the box, and the forces we..., This data set includes behavioral recordings and extracellular neural recordings from the primary motor cortex of six rhesus macaque. Christian Ethier, Stephanie N. Thacker, Matthew G. Perich and Xuan Ma collected these data in the laboratory of Lee E. Miller in Northwestern University. Xuan Ma and Fabio Rizzoglio processed the data for use in [1], which utilized adversarial neural networks to \"align\" the neural signals over a long period of time to extend the accuracy of an iBCI decoder calibrated only on the very first day (day-0).
Please cite this article if you are using this dataset:
[1] Ma X, Rizzoglio F, Perreault EJ, Miller LE, Kennedy A. Using adversarial networks to extend brain computer interface decoding accuracy over time. eLife 2023;12:e84296. DOI: https://doi.org/10.7554/eLife.84296
This dataset contains data files from 6 monkeys and 4 types of behavioral tasks (see Methods). The data files from one monkey/task were compressed into a `.7z` file, which could be opened and ..., # Title of Dataset:\"Using adversarial networks to extend brain computer interface decoding accuracy over time\"

Xuan Ma, Fabio Rizzoglio, Stephanie N. Thacker, Christian Ethier, Matthew G. Perich, Lee E. Miller

Northwestern University

Correspondence Email: [e-mail]

This data set includes behavioral recordings and extracellular neural recordings from the primary motor cortex of six rhesus macaque. Christian Ethier, Stephanie N. Thacker, Matthew G. Perich and Xuan Ma collected these data in the laboratory of Lee E. Miller in Northwestern University. Xuan Ma and Fabio Rizzoglio processed the data for use in [1], which utilized adversarial neural networks to \"align\" the neural signals over a long period of time to extend the accuracy of an iBCI decoder calibrated only on the very first day (day-0).

Please cite this article if you are using this dataset:

[1] Ma X, Rizzoglio F, Perreault EJ, Miller LE, Kennedy A. Using adversarial networks to extend brain computer interf...