TY - GEN
T1 - Hierarchal decomposition of neural data using Boosted Mixtures of Hidden Markov Chains and its application to a BMI
AU - Darmanjian, Shalom
AU - Paiva, Antonio
AU - Principe, Jose
AU - Sanchez, Justin
PY - 2007/12/1
Y1 - 2007/12/1
N2 - In this paper, we propose a simple algorithm that takes multidimensional neural input data and decomposes the joint likelihood into marginals using Boosted Mixtures of Hidden Markov Chains (BM-HMM). The algorithm applies techniques from boosting to create hierarchal dependencies between these marginal subspaces. Finally, borrowing ideas from mixture of experts, the local information is weighted and incorporated into an ensemble decision. Our results show that this algorithm is very simple to train and computationally efficient, while also providing the ability to reduce the input dimensionality for Brain Machine Interfaces (BMIs).
AB - In this paper, we propose a simple algorithm that takes multidimensional neural input data and decomposes the joint likelihood into marginals using Boosted Mixtures of Hidden Markov Chains (BM-HMM). The algorithm applies techniques from boosting to create hierarchal dependencies between these marginal subspaces. Finally, borrowing ideas from mixture of experts, the local information is weighted and incorporated into an ensemble decision. Our results show that this algorithm is very simple to train and computationally efficient, while also providing the ability to reduce the input dimensionality for Brain Machine Interfaces (BMIs).
UR - http://www.scopus.com/inward/record.url?scp=51749092420&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51749092420&partnerID=8YFLogxK
U2 - 10.1109/IJCNN.2007.4371449
DO - 10.1109/IJCNN.2007.4371449
M3 - Conference contribution
AN - SCOPUS:51749092420
SN - 142441380X
SN - 9781424413805
T3 - IEEE International Conference on Neural Networks - Conference Proceedings
SP - 3062
EP - 3067
BT - The 2007 International Joint Conference on Neural Networks, IJCNN 2007 Conference Proceedings
T2 - 2007 International Joint Conference on Neural Networks, IJCNN 2007
Y2 - 12 August 2007 through 17 August 2007
ER -