Feature extraction and unsupervised classification of neural population reward signals for reinforcement based BMI

• Published in: 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Vol. 2013; pp. 5250 - 5253
• Main Authors: Prins, Noeline W., Shijia Geng, Pohlmeyer, Eric A., Mahmoudi, Babak, Sanchez, Justin C.
• Format: Conference Proceeding Journal Article
• Language: English
• Published: United States IEEE 01.01.2013
• Subjects: Animals; Biofeedback, Psychology; Body Mass Index; Brain; Brain-Computer Interfaces; Callithrix; Cluster Analysis; Decoding; Feature extraction; Nucleus Accumbens - physiology; Principal Component Analysis; Reinforcement (Psychology); Reward; Robot sensing systems

New reinforcement based paradigms for building adaptive decoders for Brain-Machine Interfaces involve using feedback directly from the brain. In this work, we investigated neuromodulation in the Nucleus Accumbens (reward center) during a multi-target reaching task and investigated how to extract a r...