Chris Stock

Graduate Student in Neuroscience
Advisor: Surya Ganguli
Affiliation:
EPFL Exchange Scholars

I am a PhD student at Stanford University in the Neurosciences Graduate Progam, in the lab of Surya Ganguli. In my dissertation research, I use mathematical and computational models of nonlinear recurrent neural networks to study the structure of brain dynamics subserving cognition. Additional research interests include machine learning, probabilistic modeling, and large-scale methods for neural data analysis. I did my undergraduate work in mathematics at Harvard University.

 

Related Projects

Wu Tsai Neurosciences Institute
EPFL-Stanford Exchange
2017
Biologically plausible neural algorithms for learning structured sequences

Humans naturally learn to generate and process complicated sequential patterns. For example, a concert pianist can learn an enormous repertoire of memorized music. In neuroscience, it is widely thought that synaptic plasticity – the process by which the connections between neurons change response to experience – underlies such remarkable behavior.