Interfacing brain and machines: Challenges and perspectives

Abstract

Summary form only given. Interfacing brain and machines involve recording neural signals, extracting information from them and applying stimulations in closed loop. Applications are huge: from therapies for epilepsy and other kind of brain seizures to the control of prosthesis. Challenges are enormeous and truly multidisciplinary: including, design of ultra low-noise microelectronic circuits with minimum power budget, energy scavenging, bio-compatibility, compressive sensing, etc. This talk identifies critical challenges and overviews proposed solutions. Discussions are illustrated with actual circuits tested in animals in collaboration between the Institute of Microelectronics of Seville, the University of Seville and the Institute of Bioengineering of the School of Medicine of the Universidad Miguel Hernandez.