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spraveena/README.md

Praveena Satkunarajah

What I do

Hello there. My interest primarily lies understanding how our brain perceives and processes music, the use of computational techniques to understand this process, and in the development of potential applications of music cognition. My current research revolves around understanding how timbre is encoded and processed along the auditory pathway, abd how this differs across persons.

I am also interested in potential uses of music cognition in both motor and cognitive rehabilitation

My publications can be found here

Research Background

I am currently a doctoral candidate at CAANLab in Memorial University of Newfoundland working on exploring how different musical timbres are encoded in physiological signals under the supervision of Ben Zendel. I previously completed my BEng in Computer Science in Nanyang Technological University (NTU) in 2015 and also obtained a MSc in Information Studies.

I can be reached at:

Email
LinkedIn
Twitter

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  1. hmm_artifical_grammar_generator hmm_artifical_grammar_generator Public

    Used in: Tracking the emergence of a pitch hierarchy using an artificial grammar (2023). Frontiers in Cognition. by Satkunarajah, P., Sauvé, S.A., & Zendel, B.R.

    Python

  2. timbre_eeg_classification timbre_eeg_classification Public

    Models and Feature Extraction Functions Used in classification of single-trial EEG

    Python

  3. ffr_analysis ffr_analysis Public

    Computes Stimulus-to-Response Correlation (SRC) and FFT harmonics of already preprocessed and epoched Frequency Following Responses

    Python