Saba Baskoylu

The paper identifies parallel neural integrators in C. elegans that control distinct features of an aversive behavioral state by integrating sensory stimuli over different timescales.

This paper introduces deep neural networks for aligning and annotating cells in moving nervous systems, achieving high accuracy in registration and cell type identification.

This study shows that adolescent medial prefrontal cortex (mPFC) neurons are hyper-responsive to reward cues and encode them differently than adult mPFC neurons, affecting reward motivation.

The paper shows that blocking programmed cell death in C. elegans leads to extra neurons that alter specific behaviors like reversal frequency and duration.

The paper maps how neuron classes in C. elegans encode behavior across different states and timescales using brain-wide activity recordings and probabilistic models.

The paper uses behavioral profiling in C. elegans to show dopamine couples motor programs across behavioral states.

This study uses C. elegans knock-in models to show that autophagy dysfunction contributes to neuronal defects in FUS-related ALS, independent of SQSTM1/p62 function.