Shiva Farashahi
Affiliations: | 2019- | Flatiron Institute |
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| Lipshutz D, Kashalikar A, Farashahi S, et al. (2023) A linear discriminant analysis model of imbalanced associative learning in the mushroom body compartment. Plos Computational Biology. 19: e1010864 |
| Farashahi S, Soltani A. (2021) Computational mechanisms of distributed value representations and mixed learning strategies. Nature Communications. 12: 7191 |
| 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 |
| Farashahi S, Donahue CH, Hayden BY, et al. (2019) Flexible combination of reward information across primates. Nature Human Behaviour |
| Farashahi S, Rowe K, Aslami Z, et al. (2018) Influence of learning strategy on response time during complex value-based learning and choice. Plos One. 13: e0197263 |
| Farashahi S, Azab H, Hayden B, et al. (2018) On the flexibility of basic risk attitudes in monkeys. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience |
| Farashahi S, Ting CC, Kao CH, et al. (2018) Dynamic combination of sensory and reward information under time pressure. Plos Computational Biology. 14: e1006070 |
| Farashahi S, Rowe K, Aslami Z, et al. (2017) Feature-based learning improves adaptability without compromising precision. Nature Communications. 8: 1768 |
| Farashahi S, Donahue CH, Khorsand P, et al. (2017) Metaplasticity as a Neural Substrate for Adaptive Learning and Choice under Uncertainty. Neuron. 94: 401-414.e6 |
| Soltani A, Khorsand P, Guo C, et al. (2016) Neural substrates of cognitive biases during probabilistic inference. Nature Communications. 7: 11393 |