Manuel Zimmer

The paper shows that decision-making variability in C. elegans arises from slow modulation of brain states rather than random noise, using calcium imaging and optogenetics.

This paper introduces BarlowTrack, a self-supervised cell tracking framework that achieves zero-shot accuracy across conditions and labs for neuronal time series in C. elegans.

This paper uses cerebral organoids to model Tuberous Sclerosis Complex and identifies mechanisms of neural activity changes in epileptogenesis, showing potential for drug testing.

The paper identifies an intrinsic neuronal manifold in C. elegans that underlies brain-wide hierarchical organization of behavior by gating neuron activity during specific brain states.

This paper introduces NC-MCM, a framework that learns cognitive-level causal models from neuronal data, demonstrating its application to C. elegans calcium imaging data.

A hierarchical state space model splits optical neural recordings into linear segments and pools partial data across worms, recovering discrete states whose transitions match hand-labelled crawling, reversals and turns.