Menoua Keshishian PhD Candidate

Research Projects

Image schematic of the research project
Linguistic encoding. Analyzing how different levels of linguistic content of speech are encoded in the neural representation of the listener's brain, using ridge-regression and feature permutations.
Image schematic of the research project
naplib-python. A python toolbox for analyzing neural-acoustic data such as electroencephalography (EEG) paired with acoustic stimuli.
Image schematic of the research project
PyTCI. A python toolbox to analyze the temporal integration windows of computational models (e.g., artificial neural networks) that process time-series input.
Image schematic of the research project
dSTRF. A python toolbox to analyze feed forward neural networks trained to predict biological neural responses to sound, by computing the locally linear operations they perform on the input.

Side Projects

Image schematic of the side project
CogTask. An application written in Rust for designing and running cognitive psychology tasks/experiments, with the goals of being low-latency and easy-to-use.