Suchergebnisse
Suchergebnisse:
1506 Gonda (Goldschmied) Neuroscience and Genetics Research Center. 695 Charles Young Drive South, Los Angeles, CA 90095-1761.
7. Dez. 2016 · Anne Churchland’s scientific experience has focused on understanding the neural circuits behind multisensory decision making. In an interview with Neuron, she discusses large-scale recordings in behaving animals, communication between experimental and theoretical labs, and the creation of her website anneslist.net to highlight women in systems and computational neuroscience in an effort to ...
25. Jan. 2023 · Decisions, movements, and biological brains (virtual presentation) - Anne Churchland (University of California, CA, USA)
- 45 Min.
- 354
- MAIN Conference
Anne Churchland is an Associate Professor at Cold Spring Harbor Laboratory. Her research group studies the neural circuits that underlie decision-making in mice and rats. Churchland received a B.A. from Wellesley College and a PhD in Neuroscience from the University of California, San Francisco. She began her research on decision making while she was a...
Anne Kathryn Churchland. Professor, Neurobiology, University of California Los Angeles. Email: AChurchland@mednet.ucla.edu. UC Profile. Lab web page. Understanding how brains makes decisions is critical for gaining insight into complex cognition. When making decisions, humans and animals can flexibly integrate multiple sources of information ...
Anne Churchland is a professor of neurobiology in the David Geffen School of Medicine at the University of California, Los Angeles. She received her B.A. in mathematics and psychology from Wellesley College, and she received her Ph.D. in neuroscience from the University of California, San Francisco in 2003. She completed her postdoctoral training at the University of Washington from 2004 to ...
1. Sept. 2020 · Dataset from "Farzaneh Najafi, Gamaleldin F Elsayed, Robin Cao, Eftychios Pnevmatikakis, Peter E. Latham, John P Cunningham, Anne K Churchland (bioRxiv, 2018); Excitatory and inhibitory subnetworks are equally selective during decision-making and emerge simultaneously during learning.”
