Alireza Soltani

Affiliations: 
Psychological and Brain Sciences Dartmouth College, Hanover, NH, United States 
Area:
Computational Neuroscience; Cognitive Neuroscience
Website:
http://sites.dartmouth.edu/ccnl/
Google:
"Alireza Soltani"
Mean distance: 12.31 (cluster 17)
 
SNBCP
Cross-listing: BCM Tree

Parents

Sign in to add mentor
Xiao-Jing Wang grad student 2002-2006 Brandeis
 (Neural mechanism underlying reward -dependent choice behavior: A cortical network model of probabilistic decision making.)
Christof Koch post-doc 2007-2009 Caltech
P Read Montague post-doc 2009-2011 Baylor
Tirin Moore research scientist 2011-2013 Stanford Medical School

Children

Sign in to add trainee
Mehran Spitmaan grad student 2016- Dartmouth
Mohsen Rakhshan grad student 2017- Dartmouth
Shiva Farashahi grad student 2014-2019 Dartmouth
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Farashahi S, Soltani A. (2021) Computational mechanisms of distributed value representations and mixed learning strategies. Nature Communications. 12: 7191
Trepka E, Spitmaan M, Bari BA, et al. (2021) Entropy-based metrics for predicting choice behavior based on local response to reward. Nature Communications. 12: 6567
Harris C, Aguirre C, Kolli S, et al. (2021) Unique features of stimulus-based probabilistic reversal learning. Behavioral Neuroscience. 135: 550-570
Soltani A, Koechlin E. (2021) Computational models of adaptive behavior and prefrontal cortex. Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology
Soltani A, Murray JD, Seo H, et al. (2021) Timescales of Cognition in the Brain. Current Opinion in Behavioral Sciences. 41: 30-37
Soltani A, Rakhshan M, Schafer RJ, et al. (2020) Separable Influences of Reward on Visual Processing and Choice. Journal of Cognitive Neuroscience. 1-16
Soltani A. (2020) Learning from Others, but with What Confidence? Trends in Cognitive Sciences
Farashahi S, Xu J, Wu SW, et al. (2020) Learning arbitrary stimulus-reward associations for naturalistic stimuli involves transition from learning about features to learning about objects. Cognition. 104425
Spitmaan M, Seo H, Lee D, et al. (2020) Multiple timescales of neural dynamics and integration of task-relevant signals across cortex. Proceedings of the National Academy of Sciences of the United States of America
Rakhshan M, Lee V, Chu E, et al. (2019) Influence of Expected Reward on Temporal Order Judgment. Journal of Cognitive Neuroscience. 1-17
See more...