Publications

2019 (5)

°Co-first authors, *corresponding author(s).

Stolyarova A°, Rakhshan M°, Hart EE , O’Dell TJ, Peters MAK, Lau H, Soltani A*, Izquierdo A* (2019).
Contributions of Anterior Cingulate Cortex and Basolateral Amygdala in Decision Confidence and Learning under Uncertainty.
Nature Communications, 10:4704

Spitmaan MM°, Horno O°, Chu E, Soltani A* (2019).
Combinations of low-level and high-level neural processes can account for distinct patterns of context-dependent choice. PLOS Computational Biology, 15(10): e1007427

Farashahi S, Donahue C, Hayden B, Lee D, Soltani A* (2019).
Flexible Combination of Reward Information across Primates.
Nature Human Behaviour (online copy) [PDF].
Highlighted in PNAS Journal Club

Spitmaan MM°, Chu E°, Soltani A* (2019).
Salience-Driven Value Construction for Adaptive Choice under Risk.
Journal of Neuroscience, 39(26):5195-5209

Soltani A*, Izquierdo A* (2019) [PDF].
Adaptive Learning under Expected and Unexpected Uncertainty.
Nature Reviews Neuroscience, 20(10): 635–644

2018 (5)

Rakhshan M°, Lee V°, Chu E°, Harris L, Laiks L, Khorsand P, Soltani A* (under review).
Influence of Expected Reward on Perceptual Decision Making. bioRxiv, 506790.

Dehaqani MR, Vahabie AH, Parsa M, Noudoost B*, Soltani A* (2018) [PDF].
Selective Changes in Noise Correlations Contributes to an Enhanced Representation of Saccadic Targets in Prefrontal Neuronal Ensembles.
Cerebral Cortex, 28(8),3046–63

Farashahi S, Rowe K, Aslami Z, Gobbini MI, Soltani A* (2018) [PDF].
Influence of Learning Strategy on Response Time during Complex Value-based Learning and Choice.
PLOS ONE, 13(5): e197263 

Farashahi S, Azab H, Hayden B, Soltani A* (2018) [PDF].
On the Flexibility of Basic Risk Attitudes in Monkeys.
Journal of Neuroscience, 38(18):4383-98

Farashahi S, Ting C-C, Kao C-H, Wu S-W*, Soltani A* (2018) [PDF].
Dynamic Combination of Sensory and Reward Information under Time Pressure.
PLOS Computational Biology, 14(3): e1006070

2017 (5)

Farashahi S°, Rowe K°, Aslami Z, Lee D, Soltani A* (2017) [PDF].
Feature-based Learning Improves Adaptability without Compromising Precision.
Nature Communications, 8:1768.
Media Coverage: [EurekaAlert][MedicalXpress][Science Newsline]

Khorsand P*, Soltani A* (2017) [PDF].
Optimal Structure of Metaplasticity for Adaptive Learning.
PLOS Computational Biology13(6): e1005630 

Chauhan V, Visconti di Oleggio Castello M, Soltani A, Gobbini MI (2017) [PDF].
Social Saliency of the Cue Slows Attention Shifts.
Frontiers in Psychology, 8(738): 1-11

Farashahi S, Donahue CH, Khorsand P, Seo H, Lee D, Soltani A* (2017) [PDF].
Metaplasticity as a Neural Substrate for Adaptive Learning Choice under Uncertainty.
Neuron, 94(2), 401–414.
Media Coverage: [EurekaAlert][MedicalXpress][Medical News Today][Medindia][Psych Central][Science Newsline]
Recommended by Faculty of 1000

Soltani A, Chaisangmongkon W, Wang X-J (2017) [PDF].
Neural Circuit Mechanisms of Value-Based Decision-Making and Reinforcement Learning.
in Decision Neuroscience. Dreher JC and Tremblay L (Eds.). Academic Press.

2016 (2)

Soltani A*, Khorsand P, Guo CZ, Farashahi S, Liu J (2016) [PDF].
Neural Substrates of Cognitive Biases during Probabilistic Inference.
Nature Communications, 7:11393
Media coverage: [EurekaAlert][MedicalXpress][DailyMail][ScienceDaily][NatureMiddleEast][NatureAsia][LabEquip]

Gu X, Lohrenz TM, Salas R, Baldwin PR, Soltani A, Kirk U, Cinciripini P, Montague PR (2016) [PDF].
Belief about Nicotine Modulates Subjective Craving and Insula Activity in Deprived Smokers.
Frontiers in Psychiatry, 7(126): 1-11

2015 (2)

Khorsand P, Moore T, Soltani A* (2015) [PDF].
Combined Contribution of Feedforward and Feedback Inputs to Bottom-up Attention.
Frontiers in Psychology, 6(155): 1-11

Gu X, Lohrenz TM, Salas R, Baldwin PR, Soltani A, Kirk U, Cinciripini P, Montague PR (2015) [PDF].
Belief about Nicotine Selectively Modulates Value and Reward Prediction Signals in Smokers.
Proceedings of the National Academy of Sciences, 112 (8), 2539-44

2013 (1)

Soltani A*, Noudoost B, Moore T (2013) [PDF].
Dissociable Dopaminergic Control of Saccadic Target Selection and its Implications for Reward Modulation.
Proceedings of the National Academy of Sciences, 110 (9): 3579-84

before 2013 (7)

Soltani A°*, De Martino B°, Camerer C (2012) [PDF][SI].
A Range-normalization Model of Context-dependent Choice: A New Model and Evidence.
PLoS Computational Biology, 8(7): e1002607

Hunt LT, Kolling N, Soltani A, Woolrich MW, Rushworth MFS, Behrens TEJ (2012) [PDF][SI].
Mechanisms Underlying Cortical Activity During Value-guided Choice.
Nature Neuroscience, 15(3): 470-476
see Nature Neuroscience News and Views on this paper [PDF]

Soltani A*, Koch C (2010) [PDF] [SI].
Visual Saliency Computations: Mechanisms, Constraints, and the Effect of Feedback.
Journal of Neuroscience, 30(38): 12831-43

Soltani A*, Wang X-J* (2010) [PDF[SI].
Synaptic Computation Underlying Probabilistic Inference.
Nature Neuroscience, 13(1): 112-119

Soltani A*, Wang X-J* (2008) [PDF].
From Biophysics to Cognition: Reward-dependent Adaptive Choice Behavior.
Current Opinion in Neurobiology, 18(2): 209-216

Soltani A, Lee D, Wang X-J (2006) [PDF].
Neural Mechanism for Stochastic Behavior During a Competitive Game.
Neural Networks, 19(8): 1075-1090

Soltani A, Wang X-J (2006) [PDF] [SI].
A Biophysically-based Neural Model of Matching Law Behavior: Melioration by Stochastic Synapses.
Journal of Neuroscience, 26(14): 3731-3744

Recent Conference Abstracts

Rakhshan M, Hayden BY, Izquierdo A, Soltani A (2018). Computations of volatility in complex, uncertain environments. Society for Neuroscience

Farashahi S, Nomof V, Aslami Z, Soltani A (2018). Learning from reward feedback in high-dimensional environments. Society for Neuroscience

Stolyarova A, Rakhshan M, Peters MA, Lau H, Soltani A, Izquierdo A (2018). Dissociable roles of anterior cingulate cortex and basolateral amygdala in learning and choice under perceptual uncertainty. Society for Neuroscience

Soltani A, Farashahi S, Izquierdo A (2018). A circuit-level model of reward learning under uncertainty. Society for Neuroscience

Spitmaan MM, Seo H, Lee D, Soltani A (2018). Parallel but independent hierarchies of temporal and reward integration across cortex. Society for Neuroscience

Rakhshan M, Hayden BY, Izquierdo A, Soltani A (2018). Computations of volatility in complex, uncertain environments. Society for Neuroeconomics

Farashahi S, Nomof V, Aslami Z, Soltani A (2018). Learning from reward feedback in high-dimensional environments. Society for Neuroeconomics

Soltani A, Farashahi S, Izquierdo A (2018). A circuit-level model of reward learning under uncertainty. Society for Neuroeconomics

Farashahi S, Rowe K, Aslami Z, Gobbini MI, Soltani A (2017). “Pattern of response time reveals the construction of reward value during adaptive learning and choice”. Society for Neuroscience

Spitmaan MM, Chu E, Soltani A (2017). “Influence of attentional modulation on the construction of reward value”. Society for Neuroscience

Farashahi S, Azab H, Hayden B, Soltani A (2017). “Risk-seeking and loss-seeking in non-human primates is due to convex utility functions and not probability distortion”. Society for Neuroeconomics – selected for talk.

Chu E, Spitmaan MM, Soltani A (2017). “Salience-driven value construction for choice under risk”. Society for Neuroeconomics

Farashahi S, Rowe K, Aslami Z, Gobbini MI, Soltani A (2017). “Pattern of response time reveals the construction of reward value during adaptive learning and choice”. Society for Neuroeconomics

Khorsand P, Soltani A (2017). “Metaplasticity for a changing world”. Computational and Systems Neuroscience

Farashahi S, Rowe K, Aslami Z, Soltani A (2016). “Removing the curse of dimensionality: a trade-off between adaptability and precision”. Society for Neuroeconomics

Horno O, Sptitmaan M, Soltani A (2016). “Contributions of neural adaptation to value-based and perceptual choice”. [Selected as the Best Poster Award of the meeting]  Society for Neuroeconomics

Farashahi S, Rowe K, Aslami Z, Lee D, Soltani A (2016). “Hierarchical selection, reward-dependent metaplasticity, and choice under uncertainty”. Computational and Systems Neuroscience

Guo CZ, Hoffman SG, Khorsand P, Soltani A (2015). “Contribution of attentional selection to learning during probabilistic inference”. Society for Neuroscience

Farashahi S, Donahue CH, Seo H, Lee D, Soltani A (2015). “Metaplasticity as the neural substrates for choice under uncertainty”. Society for Neuroscience

Chu EL, Harris LM, Lee VW, Farashahi S, Soltani A (2015). “Influence of value-dependent endogenous signals on saccadic choice”. Society for Neuroscience

Farashahi S, Seo H, Lee D, Soltani A (2015). “Metaplasticity and Choice under Uncertainty”. Computational and Systems Neuroscience

Liu J, Guo CZ, Salholz-Hillel MA, Soltani A (2014). “Systematic Cognitive Biases during Probabilistic Inference”. Society for Neuroscience

Maier JJ, Chu EL, Kohler PJ, Soltani A (2014). “Saccadic and Perceptual Biases as Proxies for Attention”. Society for Neuroscience

Ebitz, RB, Albarran E, Soltani A, Moore T (2014). “Exploration and Uncertainty in the Frontal Eye Field during Value-guided Choice”. Society for Neuroscience

Khorsand P, Sun C, Soltani A (2014). “Synaptic Substrates of Cognitive Biases during Probabilistic Inference”. Society for Neuroscience

Vahabie AH, Dehaqani MRA, Sun C, Noudoost B, Soltani A (2014). “Contributions of Frontal Eye Field Spiking Activity and Synchrony to Control of Eye Movements”. Society for Neuroscience

Ebitz, RB, Albarran E, Soltani A, Moore T (2014). “Attention and Uncertainty during Reward Contingency Learning”. Computational and Systems Neuroscience