The potential of cognitive neuroimaging : a way forward to the mind-machine interface

• Main Authors: Pandarinathan, Ganesh, Mishra, Sachin, Nedumaran, Anu, Padmanabhan, Parasuraman, Gulyás, Balázs
• Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
• Format: Article
• Language: English
• Published: 2019
• Subjects: DRNTU::Science::Medicine; Functional Imaging; Mind-machine Interface
• Online Access: https://hdl.handle.net/10356/90237; http://hdl.handle.net/10220/48447
• Institution: Nanyang Technological University

Bridging the human mind with an external system implicitly or explicitly has been the aspiration of researchers working in the field of cognitive neuroimaging. Identifying the potential of various imaging techniques in identifying and mapping different regions of the brain in relation to their functions is the key to eliminating the difficulties in developing a mind-machine interface (MMI). Communication technology has flourished to the extent that wireless MMI applications can be designed to virtually control machines like wheelchairs, artificial limbs, etc. A cornucopia of diversified works on cognitive imaging is required to move the preliminary MMI models forward, thus engendering a technologically advanced system which can be operated directly by the brain. This article provides an overview of various aspects of cognitive neuroimaging and its potential applications in the development of a mind-machine interface.