Mechanical Eye, Marc Haver
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Tutored Seminar

Tutored seminar - Adrienne Fairhall

Variability, learning, and robustness in birdsong

Tuesday, February 4th, 2022, the NeuroSchool PhD Program will invite Adrienne Fairhall (University of Washington, Seattle, USA) for a seminar on variability, learning and robustness in birdsong.

Nonlinear projection of a songbird song


The songbird zebra finch is an exemplary model system in which to study trial-and-error learning, as the bird learns its single song gradually through the production of many noisy renditions. It is also a sound system to study the maintenance of motor skills, as the adult bird actively maintains its song and retains some residual plasticity. Motor learning occurs by association with timing within the music, represented by sparse firing in nucleus HVC, with motor output driven by nucleus RA. Here we show through modeling that the trim level of the observed variability in HVC can result in a network that is more easily able to adapt to change and is most robust to cell damage or death than an unperturbed network. In collaboration with Carlos Lois’ lab, we also consider the effect of directly perturbing HVC through viral injection of toxins that affect the firing of projection neurons. The song is profoundly affected following these perturbations but can almost perfectly recover. We characterize the changes in song acoustics and syntax and propose models for HVC architecture and plasticity to account for some of the observed effects. Finally, we suggest a potential role for inputs from nucleus Uva in helping to control timing precision in HVC.

February 4th, 2022, online on zoom / on site INT (depending on sanitary situation)

2:30 pm – Discussion among students (online on zoom / on site INT)
3:30 pm – Seminar – Open to all (online on zoom / on site INT)
4:30 pm – Discussion with speaker for PhD students only, (online on zoom / on site INT)


📢 PhD Students, register on AMETICE for your hours to be counted. Attendants get 3 hours, chairpersons 4 hours.

Register and receive the zoom link

Seminaire Fairhall 04/02/2022

Our speaker

Adrienne Fairhall Variability, learning and robustness in birdsong

Adrienne Fairhall is a professor in the Department of Physiology and Biophysics and an adjunct in Physics and Applied Mathematics at the University of Washington (UW). She obtained her honors degree in theoretical physics from the Australian National University and a Ph.D. in statistical physics from the Weizmann Institute of Science. She joined the UW faculty in 2004 after postdoctoral studies at Princeton University. She is the co-director of the UW Computational Neuroscience Center and its educational programs. She has directed the Marine Biological Laboratories course, Methods in Computational Neuroscience, and the UW/Allen Institute Summer Workshop for the Dynamic Brain. She has held Burroughs-Wellcome, McKnight, and Sloan fellowships and is currently Tocqueville-Fulbright Distinguished Chair. Her work focuses on neural coding and computation across various systems and species, with a particular interest in the interplay between cellular and circuit dynamics and coding.

Fairhall lab
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