Although recent evidence shows that cerebral organoids do recapitulate fundamental milestones of early brain morphogenesis (Lancaster and Knoblich, 2014), the emergence and functionality of brain-organoid neuronal connectivity has not been studied systematically yet.

Therefore, our inaugural Gordon Research Conference (GRC) on Neuroelectronic Interfaces will challenge the international field to turn back to the drawing board of basic materials research armed with emerging fundamental neurosciences knowledge, and bring together a multi-disciplinary team of leading experts in cellular neuroscience, brain pathology, neuro-technology and materials science in order to discuss and eventually solve or discard the obstacles on the quest for a chronically useful and reliable neural interface.ETH Zürich, Department of Biosystems Science and Engineering, Switzerlandįriedrich Miescher Institute for Biomedical Research, SwitzerlandĮTH Zürich, Department of Biochemistry, SwitzerlandĬerebral organoids represent an attractive, novel model system to study early brain development in vitro (Di Lullo and Kriegstein, 2017). The last years showed both an increasing interest into the cellular reasons and pathological causes for this slow-down in bridging the translational gap on one side and a new range of materials and methods appearing from the developmental pipelines like Graphene and Nanomaterials on the other side. Despite the potential that penetrating intracortical microelectrodes have shown, widespread implementation is impeded by the inability to consistently record high quality neural signals over clinically relevant time frames. However, many researchers believe that recording devices that penetrate into specific regions of the brain will provide the most useful control signals for complex BMI applications. A number of types of recording electrode devices have been developed to access different forms of neural information through varying levels of invasiveness. With a variety of signal transducing systems and processing algorithms, extracted neural signals were shown to be useful to drive external devices such as limb prostheses or computers. Such rehabilitative applications are commonly referred to as brain machine (or brain computer) interfaces. Neuroelectronic interfaces bridge the central nervous system to the outside world and hold great potential for functional restoration in persons with paralysis, other forms of motor dysfunction, or limb loss.

Seed Funding for Gordon Research Seminars.

Proposing a New Gordon Research Conference.

Hong Kong University of Science and Technology.

Human brain mapping conference 2018