Note: °co-first authors; *corresponding author(s).

Wang MC, Soltani A* (2023).
Contributions of Attention to Learning in Multi-Dimensional Reward Environments.
bioRxiv 2023.04.24.538148. [PDF]

Song M, Shin EJ, Seo H, Soltani A, Steinmetz NA, Lee D, Jung MW, Paik S (2023).
Hierarchical gradient of timescales in the mammalian forebrain.
bioRxiv, 2023.05.12.540610. [PDF]

Aguirre CG°, Woo JH°, Sosa JLR, Munier J, Perez J, Goldfarb M, Das K, Gomez M, Ye T, Pannu J, Evans K, O’Neill PR, Spigelman I, Soltani A, Izquierdo A (2023).
Sex-Dependent Contributions of Ventrolateral Orbitofrontal Cortex and Basolateral Amygdala to Learning under Uncertainty.
bioRxiv, 2023.04.03.535471. [PDF]

Balci F, Ben Hamed S, Boraud T, Bouret S, Brochier T, Brun C, Cohen JY, Coutureau E, Deffains M, Doyère V, Gregoriou GG, Heimel JA, Kilavik BE, Lee D, Leuthardt EC, Mainen ZF, Mathis M, Monosov IE, Naudé J, Orsborn AL, Padoa-Schioppa C, Procyk E, Sabatini B, Sallet J, Sandi C, Schall JD, Soltani A, Svoboda K, Wilson CRE, Zimmermann J (2023).
A Response to Claims of Emergent Intelligence and Sentience in A Dish.
Neuron, 111(5), 604-605 .

Woo JH, Aguirre CG, Bari BA, Tsutsui KI, Grabenhorst F, Cohen JY, Schultz W, Izquierdo A, Soltani A* (2023).
Mechanisms of Adjustments to Different Types of Uncertainty in the Reward Environment across Mice and Monkeys.
Cognitive, Affective, & Behavioral Neuroscience  

Rakhshan M, Schafer RJ, Moore T, Soltani A* (2022).
Contribution of Frontal Eye Field to Adaptive Choice.
under review [available on SSRN].

Soltani A*, Koechlin E* (2022).
Computational models of adaptive behavior and prefrontal cortex.
Neuropsychopharmacology, 47, 58-71.

Farashahi S*, Soltani A* (2021).
Computational Mechanisms of Distributed Value Representations and Mixed Learning Strategies.
Nature Communications, 12: 7191

Trepka E°, Spitmaan MM°, Bari BA, Costa VD, Cohen JY, Soltani A* (2021).
Entropy-based metrics for predicting choice behavior based on local response to reward.
Nature Communications, 12: 6567

Soltani A, Murray JD, Seo H, Lee D (2021).
Timescales of cognition in the brain.
Current Opinion in Behavioral Sciences, 41, 30-37.

Harris C°, Aguirre CG°, Kolli S, Das K, Izquierdo A*, Soltani A (2021).
Unique Features of Stimulus-based Probabilistic Reversal Learning.
Behavioral Neuroscience, 135 (4), 550

Soltani A*, Rakhshan M, Schafer RJ, Burrows BE, Moore T (2021).
Separable Influences of Reward on Sensory Processing and Choice.
Journal of Cognitive Neuroscience, 33 (2), 248-262.

Soltani A (2020).
Learning from Others, but with What Confidence?
Trends in Cognitive Sciences, 24(12), 963-964 [PDF].

Spitmaan MM, Seo H, Lee D, Soltani A* (2020).
Multiple Timescales of Neural Dynamics and Integration of Task-relevant Signals across Cortex.
Proceedings of the National Academy of Sciences

Farashahi S°, Xu J°, Wu S-W, Soltani A* (2020).
Learning Arbitrary Stimulus-Reward Associations for Naturalistic Stimuli Involves Transition from Learning about Features to Learning about Objects.
Cognition, 205 (104425) [PDF] [Data]

Rakhshan M°, Lee V°, Chu E°, Harris L, Laiks L, Khorsand P, Soltani A* (2020).
Influence of Expected Reward on Temporal Order Judgment.
Journal of Cognitive Neuroscience32(4), 674-690.

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
Featured in Nature Communications Editors’ Highlights

Spitmaan MM°, Horno O°, Chu E, Soltani A* (2019).
Combinations of low-level and high-level neural processes 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, 3: 1215–1224 (online copy) [PDF].
Highlighted in PNAS Journal Club
Spotlight in Trends in Cognitive Sciences by Etienne Koechlin

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

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

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.

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

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

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

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