Our Postdoctoral Associates are a valuable asset to our department through research productivity and by participating in the campus postdoc community. The postdoc group in our department holds regular meetings throughout the semester to discuss their current projects, take part in professional development oppportunities and coordinate outreach events. Each spring the Postdocs share their current research through a series of talks called PoSSe, the Postdoctoral Seminar Series.
The Office of Postdoctoral Affairs organizes the broader postdoctoral community on campus, including hosting events and sharing award opportunities throughout the year.
Taste perception in a mouse model of frontotemporal dementia.
Studies cognition and sensory physiology in the chemical senses.
I study the synaptic properties and organization of inputs to the primary gustatory cortex and how they are modified by taste learning and experience.
Maturation of inhibitory circuits in the gustatory cortex and expression of taste preferences.
View 5-minute research talk for a general audience, "You Are What You Ate," at
Meng-fu Maxwell Shih
Studying the molecular basis of memory formation with insights from transcriptome sequencing
Google Scholar: https://scholar.google.com/citations?user=cQ6iPZUAAAAJ&hl=en
I'm an electrophysiologist studying synaptic transmission and neuromodulation in cortical circuits. I investigate the postsynaptic targets of long-range pathways to and from the cortex, and how these inputs participate in cortical function. Two of my areas of study are the primary motor cortex and the gustatory cortex.
View 5-minute research talk for a general audience, "The Science of Feeling Full," at https://bit.ly/3rGlDGA
Ge and Xiong Lab
Reprogramming neural circuit activity via lipid metabolism to promote adult hippocampus neurogenesis and cognitive function.
I aim to understand how information and computations are represented and implemented in the brain, both at a single-neuron and systems level. My approach is to design statistical models and machine learning methods specialized for analyzing neural data.