[Comp-neuro] Two PhD positions in Computational and Cognitive Neuroscience
alireza.soltani at gmail.com
Tue Sep 17 09:56:16 CEST 2019
The Computational and Cognitive Neuroscience Lab (CCNL) at Dartmouth has openings for two enthusiastic graduate students to work on exciting projects on reward-based learning and decision making. One of the projects (funded by NIH) involves close collaboration with Alicia Izquierdo's lab at UCLA to investigate circuit-level neural mechanisms of adaptive learning. Starting date for one of the positions can be as early as Jan 2020 and the other position begins Sep 2020. A few recent relevant papers include:
1. Soltani A, Izquierdo A (2019). Adaptive Learning under Expected and Unexpected Uncertainty.
Nature Reviews Neuroscience <https://doi.org/10.1038/s41583-019-0180-y>.
2. Farashahi S, Donahue C, Hayden B, Lee D, Soltani A (2019). Flexible Combination of Reward Information across Primates. Nature Human Behaviour <https://doi.org/10.1038/s41562-019-0714-3>.
3. Stolyarova A, Rakhshan M, Peters MA, Lau H, Soltani A, Izquierdo A (2019). Contributions of Anterior Cingulate Cortex and Basolateral Amygdala to Learning and Choice under Perceptual Uncertainty. Nature Communications (accepted) [available on bioRxiv, 655860 <https://www.biorxiv.org/content/10.1101/655860v1>]
For more recent publications from the lab please visit http://ccnl.dartmouth.edu <http://ccnl.dartmouth.edu/>
Interested students please contact Alireza Soltani (soltani at dartmouth.edu).
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