Neurosciences Theory Center

The Neurosciences Theory Center at Stanford’s Wu Tsai Neurosciences Institute brings together a community of researchers spanning systems neuroscience, cognitive psychology, statistics, AI, and data science with a shared interest in understanding how our mental lives and behavior arise from neural computation.

We are housed in the Stanford Neurosciences Building in a unique building-within-a-building designed to foster collaboration between computational and systems neuroscientists and experimentalists. 

The Theory Center is also home to the Center for Neural Data Science, a collaboration between the Stanford Data Science and the Wu Tsai Neurosciences Institute dedicated to fostering interdisciplinary connections and building new analytical tools transform neuroscience’s growing treasure trove of data into transformative insights about the mind and brain.

Meet our community

Theory Center Resources

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Mentor and trainee discuss science on a screen

Center for Mind, Brain, Computation and Technology (MBCT)

Part of Wu Tsai Neuro since 2018, the Center for Mind, Brain, Computation and Technology has built a network of trainees seeking to leverage sophisticated mathematical models and innovative technologies to investigate the emergent functions of the brain and to contribute to the development of artificial systems that emulate them.

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Center for Neural Data Science (NeurDS)

A collaboration between Stanford Data Science and the Wu Tsai Neurosciences Institute, the Center for Neural Data Science is a synergistic environment where interdisciplinary collaborations accelerate novel analytical methods for brain data and transformative discoveries in brain research.

 

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Wu Tsai Neurosciences Institute, Stanford University, Data Best Practices Workshop

Neurosciences Data Best Practices Workshop Series

The Data Best Practices workshop series, led by Neural Data Architect Bryce Grier, aims to educate and empower the Stanford neuroscience and broader research communities to acquire, store, and analyze their data more effectively. 

 

 

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