@inproceedings{ff0a67cd96454ccbb4cb7b1fbb5de6a8,
title = "Control of a center-out reaching task using a reinforcement learning Brain-Machine Interface",
abstract = "In this work, we develop an experimental primate test bed for a center-out reaching task to test the performance of reinforcement learning based decoders for Brain-Machine Interfaces. Neural recordings obtained from the primary motor cortex were used to adapt a decoder using only sequences of neuronal activation and reinforced interaction with the environment. From a nave state, the system was able to achieve 100% of the targets without any a priori knowledge of the correct neural-to-motor mapping. Results show that the coupling of motor and reward information in an adaptive BMI decoder has the potential to create more realistic and functional models necessary for future BMI control.",
author = "Sanchez, {Justin C.} and Aditya Tarigoppula and Choi, {John S.} and Marsh, {Brandi T.} and Chhatbar, {Pratik Y.} and Babak Mahmoudi and Francis, {Joseph T.}",
year = "2011",
month = jul,
day = "20",
doi = "10.1109/NER.2011.5910601",
language = "English (US)",
isbn = "9781424441402",
series = "2011 5th International IEEE/EMBS Conference on Neural Engineering, NER 2011",
pages = "525--528",
booktitle = "2011 5th International IEEE/EMBS Conference on Neural Engineering, NER 2011",
note = "2011 5th International IEEE/EMBS Conference on Neural Engineering, NER 2011 ; Conference date: 27-04-2011 Through 01-05-2011",
}