Sharpee, Rust, & Bialek. Analyzing neural responses to natural signals: Maximally informative dimensions. Neural Computation 16: 223-250, 2004.

Barabash-Sharpee, Dykman, & Platzman. Tunneling transverse to a magnetic Field and its occurrence in correlated 2D electron systems. Phys. Rev. Lett. 84, 2227-2230, 2000.

Tatyana Sharpee works as an assistant research scientist at the Sloan-Swartz Center for Theoretical Neurobiology and in the Department of Physiology, UCSF. She received her PhD in theoretical physics from Michigan State University in 2001. In April 2007, she will be starting an independent theory group at the Salk Institute for Biological Studies.

Tatyana uses methods from statistical physics and information theory to study how the brain encodes sensory stimuli. She is interested in how sensory processing in the brain is matched to the statistics of real-world signals, why might the evolved hierarchy of neural representations be optimal, and how it can be best adapted to track rapid changes in the statistics of inputs.

| Curriculum Vitae | Research Projects | Publications | 

|Postdoctoral positions available at the Salk Institute, San Diego, CA|

| Neuroscience at UCSF | Neuroscience at Salk/UCSD |