Shiva Farashahi
Shiva Farashahi
Flatiron institute
Verified email at flatironinstitute.org - Homepage
Title
Cited by
Cited by
Year
Metaplasticity as a Neural Substrate for Adaptive Learning and Choice under Uncertainty
S Farashahi, CH Donahue, P Khorsand, H Seo, D Lee, A Soltani
Neuron 94 (2), 401-414. e6, 2017
422017
On the flexibility of basic risk attitudes in monkeys
S Farashahi, H Azab, B Hayden, A Soltani
Journal of Neuroscience, 2260, 2018
402018
Feature-based learning improves adaptability without compromising precision
S Farashahi, K Rowe, Z Aslami, D Lee, A Soltani
Nature communications 8 (1), 1-16, 2017
282017
Flexible combination of reward information across primates
S Farashahi, CH Donahue, BY Hayden, D Lee, A Soltani
Nature human behaviour 3 (11), 1215-1224, 2019
152019
Neural substrates of cognitive biases during probabilistic inference
A Soltani, P Khorsand, C Guo, S Farashahi, J Liu
Nature communications 7 (1), 1-14, 2016
142016
Dynamic combination of sensory and reward information under time pressure
S Farashahi, CC Ting, CH Kao, SW Wu, A Soltani
PLoS computational biology 14 (3), e1006070, 2018
62018
Influence of learning strategy on response time during complex value-based learning and choice
S Farashahi, K Rowe, Z Aslami, MI Gobbini, A Soltani
PloS one 13, 2018
32018
Does deficits in place field formation cause spatial navigation impairment in Alzheimer's disease?
SG Farashahi, F Bahrami
2013 20th Iranian Conference on Biomedical Engineering (ICBME), 177-182, 2013
12013
Modelling place field formation in hippocampus considering recurrent connections in CA3 and STDP
SG Farashahi, F Bahrami
2013 21st Iranian Conference on Electrical Engineering (ICEE), 1-5, 2013
12013
How Do We Navigate Our Way to Places?
F Bahrami, S Farashahi
Computational Models of Brain and Behavior, 357, 2017
2017
Allocentric spatial navigation impairment in schizophrenic subject: A model-based study
M Mohammadi, A Mahdavi, SG Farashahi, F Bahrami
2015 23rd Iranian Conference on Electrical Engineering, 125-130, 2015
2015
Learning arbitrary stimulus-reward associations for naturalistic stimuli involves transition from learning about features to learning about objects
S Farashahi, J Xu, SW Wu, A Soltani
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Articles 1–12