- Lab member: 2016-2021
Lotte Weerts was a PhD student in the Neurotechnology CDT, working on a combined information theory and machine learning approach to understanding the auditory system. She was jointly supervised by Claudia Clopath.
Note that only publications as part of the Neural Reckoning group are included here (see external publications below for full list).
Weerts L, Rosen S, Clopath C, Goodman DFM
The Psychometrics of Automatic Speech Recognition.
Weerts L, Clopath C, Goodman DFM (2019)
A Unifying Framework for Neuro-Inspired, Data-Driven Detection of Low-Level Auditory Features.
Cognitive Computational Neuroscience
- + 1 conference paper
- L. Weerts, C. Clopath, Dan F. M. Goodman (2019)
A Unifying Framework for Neuro-Inspired, Data-Driven Detection of Low-Level Auditory Features
2019 Conference on Cognitive Computational Neuroscience