| Year |
Citation |
Score |
| 2023 |
Trepka E, Spitmaan M, Qi XL, Constantinidis C, Soltani A. Training-dependent gradients of timescales of neural dynamics in the primate prefrontal cortex and their contributions to working memory. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 37973375 DOI: 10.1523/JNEUROSCI.2442-21.2023 |
0.776 |
|
| 2023 |
Trepka E, Spitmaan M, Qi XL, Constantinidis C, Soltani A. Training-dependent gradients of timescales of neural dynamics in the primate prefrontal cortex and their contributions to working memory. Biorxiv : the Preprint Server For Biology. PMID 37693584 DOI: 10.1101/2023.09.01.555857 |
0.771 |
|
| 2023 |
Aguirre CG, Woo JH, Sosa JLR, Munier JJ, Perez J, Goldfarb M, Das K, Gomez M, Ye T, Pannu J, Evans K, Oâ Neill PR, Spigelman I, Soltani A, Izquierdo A. Sex-dependent contributions of ventrolateral orbitofrontal cortex and basolateral amygdala to learning under uncertainty. Biorxiv : the Preprint Server For Biology. PMID 37066321 DOI: 10.1101/2023.04.03.535471 |
0.582 |
|
| 2023 |
Woo JH, Aguirre CG, Bari BA, Tsutsui KI, Grabenhorst F, Cohen JY, Schultz W, Izquierdo A, Soltani A. Correction to: Mechanisms of adjustments to different types of uncertainty in the reward environment across mice and monkeys. Cognitive, Affective & Behavioral Neuroscience. PMID 36991300 DOI: 10.3758/s13415-023-01089-1 |
0.761 |
|
| 2023 |
Woo JH, Aguirre CG, Bari BA, Tsutsui KI, Grabenhorst F, Cohen JY, Schultz W, Izquierdo A, Soltani A. Mechanisms of adjustments to different types of uncertainty in the reward environment across mice and monkeys. Cognitive, Affective & Behavioral Neuroscience. PMID 36823249 DOI: 10.3758/s13415-022-01059-z |
0.808 |
|
| 2021 |
Farashahi S, Soltani A. Computational mechanisms of distributed value representations and mixed learning strategies. Nature Communications. 12: 7191. PMID 34893597 DOI: 10.1038/s41467-021-27413-2 |
0.822 |
|
| 2021 |
Trepka E, Spitmaan M, Bari BA, Costa VD, Cohen JY, Soltani A. Entropy-based metrics for predicting choice behavior based on local response to reward. Nature Communications. 12: 6567. PMID 34772943 DOI: 10.1038/s41467-021-26784-w |
0.808 |
|
| 2021 |
Harris C, Aguirre C, Kolli S, Das K, Izquierdo A, Soltani A. Unique features of stimulus-based probabilistic reversal learning. Behavioral Neuroscience. 135: 550-570. PMID 34460275 DOI: 10.1037/bne0000474 |
0.63 |
|
| 2021 |
Soltani A, Koechlin E. Computational models of adaptive behavior and prefrontal cortex. Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology. PMID 34389808 DOI: 10.1038/s41386-021-01123-1 |
0.396 |
|
| 2021 |
Soltani A, Murray JD, Seo H, Lee D. Timescales of Cognition in the Brain. Current Opinion in Behavioral Sciences. 41: 30-37. PMID 34026949 DOI: 10.1016/j.cobeha.2021.03.003 |
0.588 |
|
| 2020 |
Soltani A, Rakhshan M, Schafer RJ, Burrows BE, Moore T. Separable Influences of Reward on Visual Processing and Choice. Journal of Cognitive Neuroscience. 1-16. PMID 33166195 DOI: 10.1162/jocn_a_01647 |
0.766 |
|
| 2020 |
Soltani A. Learning from Others, but with What Confidence? Trends in Cognitive Sciences. PMID 33071160 DOI: 10.1016/j.tics.2020.09.011 |
0.341 |
|
| 2020 |
Farashahi S, Xu J, Wu SW, Soltani A. Learning arbitrary stimulus-reward associations for naturalistic stimuli involves transition from learning about features to learning about objects. Cognition. 104425. PMID 32958287 DOI: 10.1016/J.Cognition.2020.104425 |
0.806 |
|
| 2020 |
Spitmaan M, Seo H, Lee D, Soltani A. 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. PMID 32839338 DOI: 10.1073/Pnas.2005993117 |
0.789 |
|
| 2019 |
Rakhshan M, Lee V, Chu E, Harris L, Laiks L, Khorsand P, Soltani A. Influence of Expected Reward on Temporal Order Judgment. Journal of Cognitive Neuroscience. 1-17. PMID 31851591 DOI: 10.1162/Jocn_A_01516 |
0.742 |
|
| 2019 |
Stolyarova A, Rakhshan M, Hart EE, O'Dell TJ, Peters MAK, Lau H, Soltani A, Izquierdo A. Contributions of anterior cingulate cortex and basolateral amygdala to decision confidence and learning under uncertainty. Nature Communications. 10: 4704. PMID 31624264 DOI: 10.1038/S41467-019-12725-1 |
0.781 |
|
| 2019 |
Spitmaan M, Horno O, Chu E, Soltani A. Combinations of low-level and high-level neural processes account for distinct patterns of context-dependent choice. Plos Computational Biology. 15: e1007427. PMID 31609970 DOI: 10.1371/Journal.Pcbi.1007427 |
0.777 |
|
| 2019 |
Farashahi S, Donahue CH, Hayden BY, Lee D, Soltani A. Flexible combination of reward information across primates. Nature Human Behaviour. PMID 31501543 DOI: 10.1038/S41562-019-0714-3 |
0.828 |
|
| 2019 |
Soltani A, Izquierdo A. Adaptive learning under expected and unexpected uncertainty. Nature Reviews. Neuroscience. PMID 31147631 DOI: 10.1038/s41583-019-0180-y |
0.655 |
|
| 2019 |
Spitmaan M, Chu E, Soltani A. Salience-driven value construction for adaptive choice under risk. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 31023835 DOI: 10.1523/Jneurosci.2522-18.2019 |
0.791 |
|
| 2018 |
Dehaqani MA, Vahabie AH, Parsa M, Noudoost B, Soltani A. Selective Changes in Noise Correlations Contribute to an Enhanced Representation of Saccadic Targets in Prefrontal Neuronal Ensembles. Cerebral Cortex (New York, N.Y. : 1991). PMID 29893800 DOI: 10.1093/cercor/bhy141 |
0.336 |
|
| 2018 |
Farashahi S, Rowe K, Aslami Z, Gobbini MI, Soltani A. Influence of learning strategy on response time during complex value-based learning and choice. Plos One. 13: e0197263. PMID 29787566 DOI: 10.1371/Journal.Pone.0197263 |
0.826 |
|
| 2018 |
Farashahi S, Azab H, Hayden B, Soltani A. On the flexibility of basic risk attitudes in monkeys. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 29626169 DOI: 10.1523/Jneurosci.2260-17.2018 |
0.796 |
|
| 2018 |
Farashahi S, Ting CC, Kao CH, Wu SW, Soltani A. Dynamic combination of sensory and reward information under time pressure. Plos Computational Biology. 14: e1006070. PMID 29584717 DOI: 10.1371/Journal.Pcbi.1006070 |
0.794 |
|
| 2017 |
Farashahi S, Rowe K, Aslami Z, Lee D, Soltani A. Feature-based learning improves adaptability without compromising precision. Nature Communications. 8: 1768. PMID 29170381 DOI: 10.1038/S41467-017-01874-W |
0.813 |
|
| 2017 |
Khorsand P, Soltani A. Optimal structure of metaplasticity for adaptive learning. Plos Computational Biology. 13: e1005630. PMID 28658247 DOI: 10.1371/journal.pcbi.1005630 |
0.411 |
|
| 2017 |
Farashahi S, Donahue CH, Khorsand P, Seo H, Lee D, Soltani A. Metaplasticity as a Neural Substrate for Adaptive Learning and Choice under Uncertainty. Neuron. 94: 401-414.e6. PMID 28426971 DOI: 10.1016/J.Neuron.2017.03.044 |
0.839 |
|
| 2016 |
Gu X, Lohrenz T, Salas R, Baldwin PR, Soltani A, Kirk U, Cinciripini PM, Montague PR. Belief about Nicotine Modulates Subjective Craving and Insula Activity in Deprived Smokers. Frontiers in Psychiatry. 7: 126. PMID 27468271 DOI: 10.3389/Fpsyt.2016.00126 |
0.769 |
|
| 2016 |
Soltani A, Khorsand P, Guo C, Farashahi S, Liu J. Neural substrates of cognitive biases during probabilistic inference. Nature Communications. 7: 11393. PMID 27116102 DOI: 10.1038/Ncomms11393 |
0.822 |
|
| 2015 |
Khorsand P, Moore T, Soltani A. Combined contributions of feedforward and feedback inputs to bottom-up attention. Frontiers in Psychology. 6: 155. PMID 25784883 DOI: 10.3389/fpsyg.2015.00155 |
0.631 |
|
| 2015 |
Gu X, Lohrenz T, Salas R, Baldwin PR, Soltani A, Kirk U, Cinciripini PM, Montague PR. Belief about nicotine selectively modulates value and reward prediction error signals in smokers. Proceedings of the National Academy of Sciences of the United States of America. 112: 2539-44. PMID 25605923 DOI: 10.1073/Pnas.1416639112 |
0.803 |
|
| 2013 |
Soltani A, Noudoost B, Moore T. Dissociable dopaminergic control of saccadic target selection and its implications for reward modulation. Proceedings of the National Academy of Sciences of the United States of America. 110: 3579-84. PMID 23401524 DOI: 10.1073/pnas.1221236110 |
0.646 |
|
| 2012 |
Soltani A, De Martino B, Camerer C. A range-normalization model of context-dependent choice: a new model and evidence. Plos Computational Biology. 8: e1002607. PMID 22829761 DOI: 10.1371/journal.pcbi.1002607 |
0.446 |
|
| 2012 |
Hunt LT, Kolling N, Soltani A, Woolrich MW, Rushworth MF, Behrens TE. Mechanisms underlying cortical activity during value-guided choice. Nature Neuroscience. 15: 470-6, S1-3. PMID 22231429 DOI: 10.1038/nn.3017 |
0.397 |
|
| 2010 |
Soltani A, Koch C. Visual saliency computations: mechanisms, constraints, and the effect of feedback. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 30: 12831-43. PMID 20861387 DOI: 10.1523/JNEUROSCI.1517-10.2010 |
0.48 |
|
| 2010 |
Soltani A, Wang XJ. Synaptic computation underlying probabilistic inference. Nature Neuroscience. 13: 112-9. PMID 20010823 DOI: 10.1038/nn.2450 |
0.591 |
|
| 2008 |
Soltani A, Wang XJ. From biophysics to cognition: reward-dependent adaptive choice behavior. Current Opinion in Neurobiology. 18: 209-16. PMID 18678255 DOI: 10.1016/j.conb.2008.07.003 |
0.578 |
|
| 2006 |
Soltani A, Lee D, Wang XJ. Neural mechanism for stochastic behaviour during a competitive game. Neural Networks : the Official Journal of the International Neural Network Society. 19: 1075-90. PMID 17015181 DOI: 10.1016/j.neunet.2006.05.044 |
0.621 |
|
| 2006 |
Soltani A, Wang XJ. A biophysically based neural model of matching law behavior: melioration by stochastic synapses. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 26: 3731-44. PMID 16597727 DOI: 10.1523/JNEUROSCI.5159-05.2006 |
0.644 |
|
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