How do populations of neurons work together to generate a coherent perception of the world?
I’m currently an Assistant Teaching Professor at UC San Diego. Although my primary task is teaching, I’m also working with my own data as well as open source data to understand how different types of neurons across brain areas give rise to behavior.
As a postdoctoral fellow with Anne Churchland at CSHL, I used electrophysiology and ethological behaviors to understand multisensory circuits. In collaboration with our undergraduate intern, George Bekheet, we developed a system to use and reuse Neuropixels probes in freely moving mice (bioRxiv, 2018). We also thought critically about how to best design rodent behavioral paradigms and leverage cutting edge technology in studies of decision-making (Juavinett, Erlich, & Churchland, 2018).
My doctoral research with Ed Callaway at the Salk Institute investigated cell types and circuits in the visual cortex of mice. I employed in vivo intrinsic signal imaging, 2p calcium imaging, optogenetics, extracellular electrophysiology, and various tracing methods. My dissertation research showed that mice have visual areas that can compute complex motion (Juavinett & Callaway, 2015), and that genetically- and hodologically-defined cell types in layer 5 of visual cortex are functionally different (Kim, Juavinett, et al., 2015). In addition, I developed protocols to use intrinsic signal imaging to automatically draw borders between mouse visual areas (Juavinett et al., 2017).
Prior to my PhD work, I helped to identify biomarkers of stimulant addition (Stewart, Juavinett, et al., 2015) and developed ideas about the use of neurofeedback as a treatment for autism (Pineda, Juavinett, & Datko, 2012).
My complete CV is here.