Our lab is located in the Department of Psychological and Brain Sciences at Dartmouth College. As a member of the Ivy League, Dartmouth offers a vibrant intellectual community. Dartmouth is located in the scenic Upper Valley of New Hampshire, close to several Appalachian trails, and is only a 2-hour drive from Boston.
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. The position is open to start immediately, but applications will be considered until the position is filled.
A few recent relevant papers include:
- Soltani A, Izquierdo A (2019). Adaptive Learning under Expected and Unexpected Uncertainty. Nature Reviews Neuroscience, 20(10): 635–644
- Farashahi S, Donahue C, Hayden B, Lee D, Soltani A (2019). Flexible Combination of Reward Information across Primates. Nature Human Behaviour, 3: 1215–1224
- 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
- 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
- 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]
Interested individuals should contact Alireza Soltani (firstname.lastname@example.org) with their CV.
Prospective Graduate Students
We have opening for one graduate student to join our lab in Fall 2022.
Undergraduate Research Opportunities
In our research we use both computational (detailed models of the brain) and experimental (human psychophysics and neuroimaging) approaches. Undergraduate students with quantitative and programming skills can be involved in computational modeling projects and those with interests in learning about experimental methods can contribute to designing/conducting experiments and to analyzing data.
NIDA Summer Research Internship Program (Application Deadline: February 10, 2020). Substance abuse and addiction research internship opportunity.
The NIDA Summer Research Internship Program introduces undergraduate students, with a goal of increasing underrepresented groups in biomedical and behavioral sciences, to substance abuse and addiction research. Through this program, undergraduate students age 18 years and older, conduct substance abuse and addiction research by participating in internships with NIDA funded scientists at universities across the United States. Paid, 8-week, hands-on research experiences may include a variety of different activities and research projects. To apply and view program information, see the NIDA Summer Research Internship Program online application.
Feel free to contact Ms. Julie Huffman regarding questions (Julie.Huffman@nih.gov).