BME Seminar Series: Suhasa Kodandaramaiah
November 6, 2017 @ 12:00 pm - 1:00 pm
Technologies for Neural Interfacing at Scale: from Single Cells to the Whole Cortex
Computations in the brain that mediate behavior occur at multiple spatial and temporal scales. Information is integrated in the brain within single cells, which are interconnected in dense local circuits, which are in turn, incorporated in larger networks spanning many brain regions. A critical challenge for modern neuroscience is to study the brain across these multiple spatial scales. Traditionally, the modalities used to observe activities at one level do not scale to the next level without loss of signal fidelity or information.
In this presentation, I am going describe technologies we have been developing to bridge some of these experimental scales.
First, I am going to talk about a robotic tools we have developed that enable us automatically perform patch clamping, a high fidelity recording technique that enables comprehensive electrophysiological and morphological characterization of single cells in awake and anesthetized animals. Building upon this basic technology, we have now extended the automation algorithms to scale up the number of electrodes to perform patch clamp recordings from intact circuits in vivo, and have also incorporated computer vision algorithms to target specific genetically tagged populations of cells within them.
Finally, I am going to briefly talk about neurotechnologies we are engineering in our laboratory at the University of Minnesota, that seek to extend cellular resolution calcium imaging, traditionally done in small brain regions, to pan-cortical activity mapping.