Brain Machine Interfaces: Modeling Strategies for Neural Signal Processing
Brain machine interfaces are one of the exciting new areas of bioengineering. When interfacing with the brain both beyond state of the art technology and modeling approaches are required. This talk will review the cuffent state of the art on brain machine interfaces with a special emphasis on the signal processing algorithms used for modeling. We will present results of black box models using neural rate information and generative models that utilize spike trains directly.