Daniel Yamins
Assistant Professor of Psychology and, by courtesy, of Computer Science
Academic Appointments
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Assistant Professor, Psychology
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Assistant Professor (By courtesy), Computer Science
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Member, Bio-X
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Member, Wu Tsai Neurosciences Institute
Professional Education
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Ph.D., Harvard University, Applied Mathematics (2008)
Current Research and Scholarly Interests
Our lab's research lies at intersection of neuroscience, artificial intelligence, psychology and large-scale data analysis. It is founded on two mutually reinforcing hypotheses:
H1. By studying how the brain solves computational challenges, we can learn to build better artificial intelligence algorithms.
H2. Through improving artificial intelligence algorithms, we'll discover better models of how the brain works.
We investigate these hypotheses using techniques from computational modeling and artificial intelligence, high-throughput neurophysiology, functional brain imaging, behavioral psychophysics, and large-scale data analysis.
2018-19 Courses
- High-Dimensional Methods for Behavioral and Neural Data
PSYCH 253 (Spr) - High-level Vision: From Neurons to Deep Neural Networks
CS 431, PSYCH 250 (Spr) - Large-Scale Neural Network Modeling for Neuroscience
CS 375, PSYCH 249 (Aut) - Theoretical Neuroscience
APPPHYS 293, PSYCH 242 (Spr) -
Independent Studies (10)
- Advanced Reading and Research
CS 499 (Aut, Win, Spr, Sum) - Advanced Reading and Research
CS 499P (Aut, Win, Spr, Sum) - Curricular Practical Training
CS 390A (Aut, Win) - Directed Reading in Neurosciences
NEPR 299 (Aut, Win, Spr, Sum) - Graduate Research
NEPR 399 (Aut, Win, Spr, Sum) - Graduate Research
PSYCH 275 (Aut, Win, Spr, Sum) - Independent Project
CS 399 (Aut, Win, Spr, Sum) - Reading and Special Work
PSYCH 194 (Aut, Win) - Research
PHYSICS 490 (Aut, Win) - Special Laboratory Projects
PSYCH 195 (Aut, Win)
- Advanced Reading and Research
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Prior Year Courses
2017-18 Courses
- High-Dimensional Methods for Behavioral and Neural Data
PSYCH 253 (Spr) - Large-Scale Neural Network Modeling for Neuroscience
CS 375, PSYCH 249 (Aut) - Theoretical Neuroscience
APPPHYS 293, PSYCH 242 (Spr)
2016-17 Courses
- High-level Vision: From Neurons to Deep Neural Networks
PSYCH 250 (Spr) - High-level Vision: From Neurons to Deep Neural Networks
PSYCH 250A (Spr)
- High-Dimensional Methods for Behavioral and Neural Data
Stanford Advisees
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Doctoral Dissertation Reader (AC)
Akshay Jagadeesh, Mona Rosenke -
Postdoctoral Faculty Sponsor
Daniel Bear -
Master's Program Advisor
Jiawen Xu, Neel Yerneni, David Zhou -
Postdoctoral Research Mentor
Daniel Bear, Nicholas Haber