Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  build upon previous Brain Machine Interface (BMI) signal processing models that require a-priori knowledge about the patient's arm kinematics. Specifically,  propose an unsupervised hierarchical clustering model that attempts to discover both the interdependencies beten neural channels and the self-organized clusters represented in the spatial-temporal neural data. Given that BMIs must work with disabled patients who lack arm kinematic information, the clustering work describe within this paper is very relevant for future BMIs.
['Shalom Darmanjian', 'Jose C. Principe']
I am writing a research paper on a idea Hierarchical clustering of neural data using Linked-Mixtures of Hidden Markov Models for Brain Machine Interfaces
[{"from": "human", "value": "I am writing a research paper on a idea Hierarchical clustering of neural data using Linked-Mixtures of Hidden Markov Models for Brain Machine Interfaces"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  build upon previous Brain Machine Interface (BMI) signal processing models that require a-priori knowledge about the patient's arm kinematics. Specifically,  propose an unsupervised hierarchical clustering model that attempts to discover both the interdependencies beten neural channels and the self-organized clusters represented in the spatial-temporal neural data. Given that BMIs must work with disabled patients who lack arm kinematic information, the clustering work describe within this paper is very relevant for future BMIs."}]