Center for Mind, Brain, Computation and Technology

I'm a student in the Neurosciences Graduate Program, raised here in the Bay Area. When I'm not hiking, biking, or running, I study the function and development of the visual system. In particular, my interests include the spatial organization and function of primate visual cortex and the development of biologically-inspired neural networks that can help us understand the visual system. I also co-lead the Computational Neuroscience Journal Club (CNJC), a space to discuss core ideas, results, and techniques in computational neuroscience.

Alex is a Neurosciences PhD student from Branford, CT. He completed his undergraduate degree in Neuroscience at Bates College in Lewiston, ME in 2017. Outside of the lab, Alex enjoys hiking, weightlifting, and listening to podcasts and music. Alex's research involves electrical stimulation of the macaque retina for the design of a retinal prosthesis. His specific focus is to understand how retinal ganglion cells respond to complex spatiotemporal current patterns using high-density multielectrode arrays.

I am a graduate student in Tom Clandinin’s lab, and study the structure of visually guided locomotion at the circuit and behavioral levels. How does visual input guide locomotion (sensory-to-motor), and how does locomotion affect visual processing (motor-to-sensory)? To answer these questions, I am mapping visuomotor processing onto specific neural circuits using whole-brain calcium imaging of head-fixed Drosophila, and using behavioral arenas to build models of the influence of visual stimuli on walking behavior. I hope to continue to study similar questions as a professor.

Ph.D. student in Physics; co-advised by Surya Ganguli and Kwabena Boahen. I seek to understand the brain’s fascinating computational strategies, especially at the level of spiking neural networks.

My name is Kei Masuda, and I am an MD/PhD student in the Neurosciences PhD program.  I am in Lisa Giocomo’s lab which uses electrophysiology, behavior, imaging, gene manipulations, optogenetics and computational modeling to study the neural coding of spatial memory and navigation. My current project seeks to understand the effect of ketamine on the hippocampal-entorhinal circuitry. In the future, I will plan on integrating neuroscience research with clinical work in the field of neurology.

Hailing originally from the Midwest, Jeffrey is currently an MD/PhD candidate in Stanford’s Biophysics Program. He studied Applied Mathematics as an undergraduate at Harvard University, working with Chris Rycroft on developing numerical methods for modeling biomechanical processes and large biological networks. Since then, Jeffrey’s interests have expanded towards mapping neural circuits mediating the effects of anesthetic and psychiatric drugs.

I am a graduate student in the Applied Physics Department.  I received my bachelor's degree in physics from the University of Washington in Seattle.  I am interested in nonequilibrium statistical physics and understanding the relationship between thermodynamics and information processing, particularly in biological computation.

Tyler received an ScB in Applied Math-Economics from Brown University in 2014. Previously, he developed a machine learning method for assessing ex vivo retinal acuity in Russel Van Gelder's lab at University of Washington Medicine. In parallel, Tyler served as program chair for more than 25 international conferences in 3D printing and robotics, and is a founding partner at Asimov Ventures. He is currently a PhD student in the Neurosciences Graduate Program at Stanford, and is co-advised by Karl Deisseroth in Bioengineering and Shaul Druckmann in Neurobiology.