Research topics: We want to understand how the sensory brain state changes just before and during epileptic seizures
Techniques: We use electrical and optical recordings in normal and epileptic animals to detect brain state, decode it in real time, and apply responsive stimuli to prevent seizures and/or reduce their intensity.
Seeking undergrads for: Academic year, Summer
Required skills: Previous wet lab experience, Programming experience - This is animal work, with experiments done both in vivo during normal behavior and in vitro with live brain slices or tissue sections processed for immunofluorescence. Quantitative analysis skills are critical and advanced training in Python and/or Matlab will be provided.
This lab is particularly interested in mentoring: Undergrads from backgrounds that are underrepresented in STEM
How to apply: Contact Dr. Huguenard (firstname.lastname@example.org)
Project information: 1) Machine learning approaches for seizure cluster detection and analysis. 2) In vitro (brain slice) analysis of network oscillatory state using multielectrode arrays.