Research topics: A constant chattering of 80 billion neurons through 100 trillion synapses could easily overheat our dense brains. To avoid that, each neuron spikes sparingly and each spike carries as many bits of information as possible. Our lab is exploring how effectively spike activity encodes information and how robustly dendritic mechanisms decode this information.
Techniques: Analyzing coding schemes theoretically, modeling neural circuits computationally, and synthesizing biomorphic artificial neural nets.
Website: Brains in Silicon
Seeking undergrads for: Academic year, Summer
Location: Flexible, with possibilities for remote or on-campus research projects
Required skills: Programming experience
This lab is particularly interested in mentoring: Undergrads from backgrounds that are underrepresented in STEM, Undergrads without previous exposure to laboratory research, Undergrads from local community colleges
How to apply: Apply ONLY via departmental summer research fellowship program (BioE, CS, EE, or Wu Tsai REU)