Pamela Hathway was a PhD student working on the problem of large scale neural data analysis, primarily on Neuropixels data. She developed a new technique called "neural topic modelling", adapting topic modelling methods from machine learning originally designed for finding topics in sets of text documents automatically.
Note that only publications as part of the Neural Reckoning group are included here (see external publications below for full list).
Hathway P (2020)
Biologically-inspired machine learning approaches to large-scale neural data analysis.
PhD thesis, Imperial College London
- M. Rogdaki, et al. (2019)
Glutamatergic function in a genetic high-risk group for psychosis: A proton magnetic resonance spectroscopy study in individuals with 22q11.2 deletion
- S. Jauhar, et al. (2018)
Determinants of treatment response in first-episode psychosis: an 18F-DOPA PET study
- S. Jauhar, et al. (2016)
P.3.f.031 Determinants of treatment response in first episode psychosis: a prospective 18F-DOPA PET study
- F. Hell, et al. (2015)
P182. Patterns of gait-related electrophysiological activity in the human subthalamic nucleus of patients with Parkinson’s disease