A novel convolutional neural network for deep-learning classification

Brain–computer interfaces (BCIs) have traditionally been used to enable communication and control for paralyzed patients.1 However, it is also thought that BCIs hold promise for fulfilling the longstanding goal of creating artificial systems (i.e., which can perform with the adaptability, robustness, and general intelligence of humans). To augment the sensing and processing capabilities of such artificial systems, BCI systems can thus be used on healthy individuals. In this way, the biological machinery that enables human cognition can be leveraged. Image triage--a visual target search over a set of images--is a prime application for this new class of BCI.