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Nature Communications|December 11, 2021
Computational mechanisms of distributed value representations and mixed learning strategiesShiva Farashahi, Alireza SoltaniThe Journal of Neuroscience : the Official Journal of the Society for Neuroscience|April 8, 2018
On the Flexibility of Basic Risk Attitudes in MonkeysShiva Farashahi, Habiba Azab, Benjamin Hayden, et al.Cognition|September 22, 2020
Learning arbitrary stimulus-reward associations for naturalistic stimuli involves transition from learning about features to learning about objectsShiva Farashahi, Jane Xu, Shih-Wei Wu, et al.Nature Communications|November 25, 2017
Feature-based learning improves adaptability without compromising precisionShiva Farashahi, Katherine Rowe, Zohra Aslami, et al.Nature Communications|April 27, 2016
Neural substrates of cognitive biases during probabilistic inferenceAlireza Soltani, Peyman Khorsand, Clara Guo, et al.Plos One|May 23, 2018
Influence of learning strategy on response time during complex value-based learning and choiceShiva Farashahi, Katherine Rowe, Zohra Aslami, et al.Nature Human Behaviour|September 11, 2019
Flexible combination of reward information across primatesShiva Farashahi, Christopher H Donahue, Benjamin Y Hayden, et al.Plos Computational Biology|March 28, 2018
Dynamic combination of sensory and reward information under time pressureShiva Farashahi, Chih-Chung Ting, Chang-Hao Kao, et al.Neuron|April 21, 2017
Metaplasticity as a Neural Substrate for Adaptive Learning and Choice under UncertaintyShiva Farashahi, Christopher H Donahue, Peyman Khorsand, et al.Trends in Cognitive Sciences|October 19, 2020
Learning from Others, but with What Confidence?Alireza SoltaniPageof 10