Alireza Soltani

|Assistant Professor of Psychological and Brain Sciences

My research mainly focuses on understanding adaptive decision making and learning. Specifically, I am interested in understanding neural mechanisms underlying these processes and exploring how computations required for these processes are performed by neuronal elements in the brain.   I use detailed computational modeling at different levels (synaptic, cellular, and network), as well as psychophysics and behavioral studies in humans, to look for feasible mechanisms that account for both behavioral and neural data. The ultimate goal of my research is to bridge the gap between cognitive and neuronal processes, and further explain behavioral laws in terms of biophysical parameters and constraints.

Contact

Moore 356
HB 6207

Education

  • B.Sc. Sharif University of Technology
  • M.Sc. Sharif University of Technology
  • Ph.D., Brandeis University
  • Postdoc, California Institute of Technology
  • Postdoc, Baylor College of Medicine
  • HHMI Research Associate, Stanford University

Selected Publications

  • Farashahi S, Donahue C, Hayden B, Lee D, Soltani A (2019). Flexible Combination of Reward Information across Primates. Nature Human Behaviour.

  • Soltani A, Izquierdo A (2019) Adaptive learning under expected and unexpected uncertainty. Nature Reviews Neuroscience, 20.

  • Farashahi S, Rowe K, Aslami Z, Lee D, Soltani A (2017). Feature-based Learning Improves Adaptability without Compromising Precision. Nature Communications8:1768.

  • Farashahi S, Donahue CH, Khorsand P, Seo H, Lee D, and Soltani A (2017). Metaplasticity as a Neural Substrate for Adaptive Learning Choice under Uncertainty. Neuron, 94(2), 401–414

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