Shawn Olsen, Ph.D.
Shawn Olsen joined the Allen Institute in 2013 as an assistant investigator in the Neural Coding group. His team studies the neural basis of behavior and cognition using the mouse as a model system. Prior to joining the Allen Institute he was postdoctoral fellow at UCSD where he studied the cortical mechanisms of visual processing. He received a B.S. in biochemistry from the University of Utah and a Ph.D. in Neuroscience from Harvard University.
We are investigating the neural mechanisms underlying object recognition, attention, and learning. We seek to understand these phenomena at multiple levels organization and use genetic tools in the mouse to probe the detailed cellular and network mechanisms. Mice are trained to perform behavioral tasks and we map the underlying neural circuit dynamics across brain areas. We measure neural activity using both optical and electrophysiological approaches, and we use optogenetics to perform perturbation experiments in order to constrain causal models of neural operation. Transgenic mice provide cell type specificity to our mechanistic interrogations. Our experiments are guided by theory, modeling, and computational analysis. We conceptualize perception as an inferential process and are developing models of hierarchical processing that include both feedforward and feedback mechanisms. We are also developing more abstract models of behavior to explain foraging and decision-making phenomena.
- Cortical dynamics
- Object recognition
March 5, 2020
Billeh YN, Cai B, Gratiy SL, Dai K, Iyer R, Gouwens NW, Abbasi-Asl R, Jia X, Siegle JH, Olsen SR, Koch C, Mihalas S, Arkhipov A
February 26, 2020
Garrett M, Manavi S, Roll K, Ollerenshaw D, Groblewski P, Kiggins J, Jia X, Casal L, Mace K, Williford A, Leon A, Mihalas S, Olsen SR
Journal of Neurophysiology
March 6, 2019
Jia X, Siegle JH, Bennett C, Gale SD, Denman DJ, Koch C, Olsen SR
February 27, 2019
Bennett C, Gale SD, Garrett ME, Newton ML, Callaway EM, Murphy GJ, Olsen SR
December 16, 2019
de Vries S, Lecoq J, Buice MA, Groblewski PA, Ocker GK, Oliver M, Feng F, Cain N, Ledochowitsch P, Millman D, Roll K, Garrett M, Keenan T, Kuan L, Mihalas S, Olsen S, Thompson C, Wakeman W, Waters J, Williams D, Barber C, Berbesque N, Blanchard B, Bowles N, Caldejon S, Casal L, Cho A, Cross S, Dang C, Dolbeare T, Edwards M, Galbraith J, Gaudreault N, Griffin F, Hargrave P, Howard R, Huang L, Jewell S, Keller N, Knoblich U, Larkin J, Larsen R, Lau C, Lee E, Lee F, Leon A, Li L, Long F, Luviano J, Mace K, Nguyen T, Perkins J, Robertson M, Seid S, Shea-Brown E, Shi J, Sjoquist N, Slaughterbeck C, Sullivan D, Valenza R, White C, Williford A, Witten D, Zhuang J, Zeng H, Farrell C, Ng L, Bernard A, Phillips JW, R Reid C, Koch C
April 16, 2018
Resulaj A, Olsen SR, Scanziani M. Elife
PLoS Computational Biology
November 12, 2018
Arkhipov A, Gouwens NW, Billeh YN, Gratiy S, Iyer R, Wei Z, Xu Z, Berg J, Buice M, Cain N, da Costa N, de Vries S, Denman D, Durand S, Feng D, Jarsky T, Lecoq J, Lee B, Li L, Mihalas S, Ocker GK, Olsen SR, Reid RC, Soler-LLavina G, Sorensen SA, Wang Q, Waters J, Scanziani M, Koch C