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Shiva Farashahi

Showing results (1-10 of 11) with videos related to

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Nature Communications|December 11, 2021
Computational mechanisms of distributed value representations and mixed learning strategiesShiva Farashahi, Alireza Soltani
The 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.
Plos Computational Biology|February 6, 2023
A linear discriminant analysis model of imbalanced associative learning in the mushroom body compartmentDavid Lipshutz, Aneesh Kashalikar, Shiva Farashahi, 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.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Nature Communications|December 11, 2021
Computational mechanisms of distributed value representations and mixed learning strategiesShiva Farashahi, Alireza Soltani
The 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.
Plos Computational Biology|February 6, 2023
A linear discriminant analysis model of imbalanced associative learning in the mushroom body compartmentDavid Lipshutz, Aneesh Kashalikar, Shiva Farashahi, 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.
Pageof 2