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 previously collected 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 (CSHL), I used electrophysiology and ethological behaviors to understand multisensory circuits. In collaboration with George Bekheet, we developed a system to use and recycle Neuropixels probes in freely moving mice (Juavinett et al., eLife, 2019). 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 (Salk Institute) investigated cell types and circuits in the visual cortex of mice. I employed in vivo intrinsic signal imaging, two-photon 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, Current Biology, 2015), and that genetically- and hodologically-defined cell types in layer 5 of visual cortex are functionally different (Kim, Juavinett, et al., Neuron, 2015). In addition, I helped develop protocols to use intrinsic signal imaging to automatically draw borders between mouse visual areas (Juavinett et al., Nature Protocols, 2017). Most recently, we published the final part of my thesis work, demonstrating the topographical organization of thalamocortical circuits (Juavinett et al., J Comp Neurol 2019).

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.