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Dominic Gonschorek

2 accepted papers

2025

TRACE: Contrastive learning for multi-trial time series data in neuroscience

NeurIPS 2025poster

Modern neural recording techniques such as two-photon imaging or Neuropixel probes allow to acquire vast time-series datasets with responses of hundreds or thousands of neurons. Contrastive learning is a powerful self-supervised framework for learning representations of complex datasets. Existing ap…

Cited by 0SourceScholar
2021

Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience

NeurIPS 2021spotlight

Integrating data from multiple experiments is common practice in systems neuroscience but it requires inter-experimental variability to be negligible compared to the biological signal of interest. This requirement is rarely fulfilled; systematic changes between experiments can drastically affect the…