Ethan Richman



I am a 6th year in the Stanford University Neurosciences Ph.D. Program; I am co-advised by Liqun Luo and Karl Deisseroth, with support from the NSF Graduate Research Fellowship. Previously, I worked with Gilad Barnea, where I developed a technique for transsynaptic labeling and manipulation of neural circuits. I graduated from Brown University in 2013 with a degree in Applied Mathematics-Biology, where I focused on synthetic biology, engineering, and machine learning.


My current work in the Luo and Deisseroth labs is focused on neural circuits and technology development.


Vesuna, S., Kauvar, I.V., Richman, E. et al. Deep posteromedial cortical rhythm in dissociation. Nature (2020). [NPR]
Richman EB *, Luo L. "Suppressing Memories by Shrinking the Vesicle Pool" Neuron 101, 5-7 (2019) *=Corresponding author [pdf]
Talay M*, Richman EB*, Snell NJ, Hartmann GG, Fisher JD, Sorkaç A, Santoyo JF, Chou-Freed C, Nair N, Johnson M, Szymanski J, Barnea G. "Transsynaptic Mapping of Second-Order Taste Neurons in Flies by trans-Tango." Neuron 96, 783–795 (2017) *=equal contribution [pdf | Research Highlight - Nature Methods | Brown news | Providence Journal]
Allen WE, Kauvar IV, Chen MZ, Richman EB, Yang SJ, Chan K, Gradinaru V, Deverman BE, Luo L, Deisseroth K. "Global Representations of Goal-Directed Behavior in Distinct Cell Types of Mouse Neocortex." Neuron 94, 891-907 (2017) [pdf]