Lotte Weerts
-
- 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.
Software
HumanlikeHearing
Python package for psychophysical tests of automatic speech recognition systems.
Publications
Note that only publications as part of the Neural Reckoning group are included here (see external publications below for full list).
Preprints
2019
-
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
External publications
This is a short preview of the publications from other sources (ORCID, Semantic Scholar). Note that publications from work done outside the Neural Reckoning group are included in this list.
2021
2019
- 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
2015
2014