Abstract
Modifications to the Body Schema refers to the idea that the brain's mapping can be extended to include an external device. Recent research has shown how Brain-Machine Interfaces (BMIs) can be thought of an extension of this concept. While most BMI work has focused on the cortex in relation to this idea, here we study the striatum to see how the actions of a robotic arm are represented in a deep brain structure. We show consistent neural firing patterns in the striatum depend on the movement direction of a robot even when the robot movement is preceded by distinct movements of the actual limb. Neural data during the robot movement was analyzed using a sliding time window (500ms with 400ms overlap) and was compared to the baseline firing when there was no natural reach or robot movement. We achieved an average accuracy of 88.4% over 4 sessions using unsupervised clustering techniques to classify the robot movement types.
| Original language | English |
|---|---|
| Title of host publication | International IEEE/EMBS Conference on Neural Engineering, NER |
| Pages | 399-402 |
| Number of pages | 4 |
| DOIs | |
| State | Published - Dec 1 2013 |
| Event | 2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013 - San Diego, CA, United States Duration: Nov 6 2013 → Nov 8 2013 |
Other
| Other | 2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013 |
|---|---|
| Country | United States |
| City | San Diego, CA |
| Period | 11/6/13 → 11/8/13 |
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ASJC Scopus subject areas
- Artificial Intelligence
- Mechanical Engineering
Cite this
Representation of natural arm and robotic arm movement in the striatum of a marmoset engaged in a two choice task. / Prins, Noeline W.; Geng, Shijia; Pohlmeyer, Eric A.; Prasad, Abhishek; Sanchez, Justin C.
International IEEE/EMBS Conference on Neural Engineering, NER. 2013. p. 399-402 6695956.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - Representation of natural arm and robotic arm movement in the striatum of a marmoset engaged in a two choice task
AU - Prins, Noeline W.
AU - Geng, Shijia
AU - Pohlmeyer, Eric A.
AU - Prasad, Abhishek
AU - Sanchez, Justin C.
PY - 2013/12/1
Y1 - 2013/12/1
N2 - Modifications to the Body Schema refers to the idea that the brain's mapping can be extended to include an external device. Recent research has shown how Brain-Machine Interfaces (BMIs) can be thought of an extension of this concept. While most BMI work has focused on the cortex in relation to this idea, here we study the striatum to see how the actions of a robotic arm are represented in a deep brain structure. We show consistent neural firing patterns in the striatum depend on the movement direction of a robot even when the robot movement is preceded by distinct movements of the actual limb. Neural data during the robot movement was analyzed using a sliding time window (500ms with 400ms overlap) and was compared to the baseline firing when there was no natural reach or robot movement. We achieved an average accuracy of 88.4% over 4 sessions using unsupervised clustering techniques to classify the robot movement types.
AB - Modifications to the Body Schema refers to the idea that the brain's mapping can be extended to include an external device. Recent research has shown how Brain-Machine Interfaces (BMIs) can be thought of an extension of this concept. While most BMI work has focused on the cortex in relation to this idea, here we study the striatum to see how the actions of a robotic arm are represented in a deep brain structure. We show consistent neural firing patterns in the striatum depend on the movement direction of a robot even when the robot movement is preceded by distinct movements of the actual limb. Neural data during the robot movement was analyzed using a sliding time window (500ms with 400ms overlap) and was compared to the baseline firing when there was no natural reach or robot movement. We achieved an average accuracy of 88.4% over 4 sessions using unsupervised clustering techniques to classify the robot movement types.
UR - http://www.scopus.com/inward/record.url?scp=84897729890&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84897729890&partnerID=8YFLogxK
U2 - 10.1109/NER.2013.6695956
DO - 10.1109/NER.2013.6695956
M3 - Conference contribution
SN - 9781467319690
SP - 399
EP - 402
BT - International IEEE/EMBS Conference on Neural Engineering, NER
ER -