The Computational and Cognitive Neuroscience Lab (CCNL) at Dartmouth College has an opening for an NIH-funded postdoctoral position to work on an exciting project on circuit mechanisms of reward-based learning under uncertainty. The project involves computational modeling and data analyses (behavioral and calcium imaging) in close collaboration with Alicia Izquierdo's lab at UCLA. Initial appointment is for one year with opportunity for renewal. The position is open to start immediately, but applications will be considered until the position is filled. A few recent relevant papers include: 1. Soltani A, Izquierdo A (2019). Adaptive Learning under Expected and Unexpected Uncertainty. Nature Reviews Neuroscience, 20(10): 635–644 2. Farashahi S, Donahue C, Hayden B, Lee D, Soltani A (2019). Flexible Combination of Reward Information across Primates. Nature Human Behaviour, 3: 1215–1224 3. Stolyarova A, Rakhshan M, Peters MA, Lau H, Soltani A, Izquierdo A (2019). Contributions of Anterior Cingulate Cortex and Basolateral Amygdala in Decision Confidence and Learning under Uncertainty. Nature Communications, 10:4704 4. Spitmaan MM, Seo H, Lee D, Soltani A (2020). Multiple Timescales of Neural Dynamics and Integration of Task-relevant Signals across Cortex. Proceedings of the National Academy of Sciences, 117 (36), 22522-22531 5. Trepka E, Spitmaan MM, Bari BA, Costa VD, Cohen JY, Soltani A (2021). Novel entropy-based metrics for predicting choice behavior based on local response to reward. Nature Communications (Accepted) [available on bioRxiv, 2021.05.20.445009v1] For more recent publications from the lab please visit http://ccnl.dartmouth.edu. Interested individuals should contact Alireza Soltani (soltani@dartmouth.edu) with their CV. Alireza Soltani, Ph.D. Associate Professor Department of Psychological and Brain Sciences Dartmouth College, NH Alireza.Soltani@Dartmouth.edu http://ccnl.dartmouth.edu Phone: 603-646-2998 Office: Moore 356