Multimodal Neural Network for Rapid Serial Visual Presentation Brain Computer Interface.

ABSTRACT: Brain computer interfaces allow users to preform various tasks using only the electrical activity of the brain. BCI applications often present the user a set of stimuli and record the corresponding electrical response. The BCI algorithm will then have to decode the acquired brain response and perform the desired task. In rapid serial visual presentation (RSVP) tasks, the subject is presented with a continuous stream of images containing rare target images among standard images, while the algorithm has to detect brain activity associated with target images. In this work, we suggest a multimodal neural network for RSVP tasks. The network operates on the brain response and on the initiating stimulus simultaneously, providing more information for the BCI application. We present two variants of

SUBMITTER: Manor R 

PROVIDER: S-EPMC5168930 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature