Revealing millisecond-scale neural dynamics with non-invasive organic electronics

Large-scale monitoring of the brain demonstrates that neuronal computation arises from interactions of numerous neuronal populations. Yet, methods that allow for large-scale recording of activity at high spatial resolution and for extended time periods are lacking. To meet this challenge, we propose to design, develop and test novel large-scale neural interface devices that will allow long-term, high spatiotemporal resolution, stable recording and stimulation of neural activity by injecting polymers into the scalp. These devices, and the data generated by them, will be used to address key questions in systems neuroscience. We aim to investigate the coupling mechanisms of neural oscillations between functionally distinct brain regions, and identify how different oscillations generate unique spatial and temporal patterns of activity. We will establish electrical stimulation protocols to modulate the occurrence rate, power, and frequency of specific brain oscillations to be able to assess the function role of such oscillations. Lastly, we will combine these recording and stimulation interfaces in form of closed-loop electrophysiological experiments to be able to manipulate and observe the effect of these oscillations on physiological and behavioral levels. The ability to acquire, stimulate, and analyze neural network simultaneously from multiple brain regions will enhance comprehension of neural network processes and has implications for brain disorders characterized by disordered network function.