Predictive Neural Information
for Proactive Actions:

From Monkey Brain to Smart
House Control

The above descriptions can be captured by four precise objectives of this project:

1. Identify sequence-predicting activity in the monkey in a nonrestricted environment, i.e., a smart cage.

2. Develop mathematical models based on the interaction of activity and plasticity mechanisms to understand this sequence-predicting neural activity and to provide the algorithmic basis of adaptive neural control (Objective 3).

3. Develop a generic hardware controller that uses the models from Objective 2 to process the recorded sequence-predicting neural activity, and generate complex action sequences to manipulate devices in a Smart House.

4. Employ the results from Objectives 1-3 to develop an advanced BMI system that can robustly extract sequence-predicting neural activity for proactive Smart House controls.