Marc (B.S. ’14 Cornell) is a Psychology PhD student in the Wagner Lab. He is interested in healthy older adults' ability to encode and retrieve episodic memories. Specifically, he is investigating if individual differences in memory for older adults can be explained through altered encoding and cognitive control neural mechanisms. His work leverages neuroimaging, neuropsychology, and multivariate statistical analysis.
I am a PhD student in the Neuroscience area of the Stanford University Psychology department working with Kalanit Grill-Spector. I study the functional organization of human visual cortex, focusing on both the structural underpinnings and the overarching computational goals. I use a combination of neuroimaging, computational modeling, and deep neural networks to explore these questions. Before Stanford, I earned my BA at Dartmouth College in 2014 and MSc at the University of Oxford in 2015
After transferring from Miami-Dade Community College, Tyler studied chemistry and comparative literature at Columbia University. He went on to research fellowships in the Max-Planck Institute in Leipzig, then in the Department of Brain and Cognitive Sciences at MIT before coming to Stanford. In his current work, co-advised by Anthony Wagner and Daniel Yamins, Tyler uses biologically plausible computational models, neural data, and animal behavior in order to formalize the relationship between perception and memory.
Luke is a Philosophy PhD student and is also presently completing his M.S. degree in neuroscience. His work investigates the implications of deep learning models of cognition and brain decoding technologies for our understanding of the mind/brain connection.
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.
Isabel is a PhD candidate in the Stanford Neurosciences Program. She works in the Giocomo Lab studying how our internal state—like whether we are alert or tired—affects the way our brains work. To answer this question, Isabel uses a combination of experimental neuroscience techniques, like recording the activity of hundreds of neurons, and computational methods, like non-negative matrix factorization and lineaer-nonlinear Poission models.