Luke Campagnola, Ph.D.
Scientist III
Luke joined the Allen Institute for Brain Science in 2015 as part of a team investigating circuits and synaptic properties in the mouse neocortex. Prior to joining the institute, his pre- and postdoctoral research at the University of North Carolina at Chapel Hill focused on understanding the circuitry that underlies the lowest levels of auditory information processing. For his doctoral research under Dr. Paul Manis, Luke used in vitro photostimulation to map and characterize the synaptic connections in the cochlear nucleus. As a postdoc, he used these characterizations to develop a physiological model of the cochlear nucleus circuit. Luke received his BS in physics from the Colorado School of Mines and his PhD in neurobiology from the University of North Carolina.
Research
Research Interests
The vast complexity of the brain makes it one of the most interesting and difficult topics in science today. Many hypotheses about the brain can only be tested by constructing a physiological model of comparable complexity. This, in turn, relies on experiments that yield detailed information about the substrate of the brain—intrinsic cell properties, circuit connectivity, and synapse properties. These two aspects of neuroscience—modelling and experimentation—form a feedback loop that moves us iteratively toward better models: experimental output drives new models, and model output guides the design of new experiments. I am interested in the use and development high-throughput methods to characterize synapse properties such as connectivity, strength, kinetics and short term plasticity, with emphasis on generating the data we need to constrain circuit models. Ultimately, collecting this data will require a combination of techniques including parallel patch-clamp recordings, photostimulation mapping, tracer injections, and a variety of genetic tools.
Expertise
- Systems neuroscience
- Patch electrophysiology and optophysiology
- Physiological circuit modelling
Research Programs
- Structured Science
- Research Science -- Cell Types
Selected Publications
Local connectivity and synaptic dynamics in mouse and human neocortex
Science
March 11, 2022
Campagnola L, Seeman SC, Chartrand T, Kim L, Hoggarth A, Gamlin C, Ito S, Trinh J, Davoudian P, Radaelli C, Kim MH, Hage T, Braun T, Alfiler L, Andrade J, Bohn P, Dalley R, Henry A, Kebede S, Alice M, Sandman D, Williams G, Larsen R, Teeter C, Daigle TL, Berry K, Dotson N, Enstrom R, Gorham M, Hupp M, Dingman Lee S, Ngo K, Nicovich PR, Potekhina L, Ransford S, Gary A, Goldy J, McMillen D, Pham T, Tieu M, Siverts L, Walker M, Farrell C, Schroedter M, Slaughterbeck C, Cobb C, Ellenbogen R, Gwinn RP, Keene CD, Ko AL, Ojemann JG, Silbergeld DL, Carey D, Casper T, Crichton K, Clark M, Dee N, Ellingwood L, Gloe J, Kroll M, Sulc J, Tung H, Wadhwani K, Brouner K, Egdorf T, Maxwell M, McGraw M, Pom CA, Ruiz A, Bomben J, Feng D, Hejazinia N, Shi S, Szafer A, Wakeman W, Phillips J, Bernard A, Esposito L, D'Orazi FD, Sunkin S, Smith K, Tasic B, Arkhipov A, Sorensen S, Lein E, Koch C, Murphy G, Zeng H, Jarsky T
eLife
January 21, 2022
Hage TA, Bosma-Moody A, Baker CA, Kratz MB, Campagnola L, Jarsky T, Zeng H, Murphy GJ
Bright and photostable chemigenetic indicators for extended in vivo voltage imaging
Science
August 16, 2019
Abdelfattah AS, Kawashima T, Singh A, Novak O, Liu H, Shuai Y, Huang YC, Campagnola L, Seeman SC, Yu J, Zheng J, Grimm JB, Patel R, Friedrich J, Mensh BD, Paninski L, Macklin JJ, Murphy GJ, Podgorski K, Lin BJ, Chen TW, Turner GC, Liu Z, Koyama M, Svoboda K, Ahrens MB, Lavis LD, Schreiter ER
Sparse recurrent excitatory connectivity in the microcircuit of the adult mouse and human cortex
eLife
September 26, 2018
Seeman SC, Campagnola L, Davoudian PA, Hoggarth A, Hage TA, Bosma-Moody A, Baker CA, Lee, JH, Mihalas S, Teeter C, Ko AL, Ojemann JG, Gwinn RP, Silbergeld DL, Cobbs C, Phillips J, Lein E, Murphy G, Koch C, Zeng H, Jarsky T
A Map of Functional Synaptic Connectivity in the Mouse Anteroventral Cochlear Nucleus
Journal of Neuroscience
February 5, 2014
Campagnola L, Manis PB
ACQ4: an open-source software platform for data acquisition and analysis in neurophysiology research
Frontiers in Neuroinformatics
January 30, 2014
Campagnola L, Kratz MB, Manis PB
Journal of Neuroscience Methods
March 30, 2008
Campagnola L, Wang H, Zylka MJ