Thomas Donoghue

Thomas Donoghue is a researcher in the Department of Cognitive Science at the University of California, San Diego, specializing in neural oscillations and computational neuroscience methods. His work focuses on developing rigorous approaches for analyzing brain signals, particularly EEG and MEG data.

Dr. Donoghue's research interests center on understanding the methodological considerations for studying neural oscillations, with particular emphasis on verifying the presence of oscillations, validating oscillation band definitions, and accounting for concurrent non-oscillatory aperiodic activity. His work addresses critical issues in the field such as temporal variability, waveform shape of neural oscillations, and separating spatially overlapping rhythms.

His publication record demonstrates expertise in developing computational tools for neural signal processing, including contributions to the NeuroDSP software package. His research bridges theoretical neuroscience with practical methodological considerations for interpreting neural data.

Dr. Donoghue has received funding support from the Halıcıoğlu Data Science Institute Fellowship, National Science Foundation (BCS-1736028), and National Institute of General Medical Sciences (R01GM134363-02).

His collaborative work extends across multiple research groups at UCSD, including the Neurosciences Graduate Program, Halıcıoğlu Data Science Institute, and Kavli Institute for Brain and Mind.