Eric James Horstick

MCA is an ImageJ-based tool for analyzing calcium imaging data, validated on zebrafish datasets and applicable to multiple organisms and modalities.

The paper develops a machine learning pipeline to classify larval zebrafish behaviors using semi-supervised learning, showing high accuracy in detecting spontaneous and stimulus-evoked behaviors.

This study identifies gsx1's role in visual neural circuit development in zebrafish, showing its necessity for specific axon arborization fields and visual behaviors.

The paper identifies 18 genes regulating retinal ganglion cell regeneration in zebrafish using a combination of genetic models and single-cell omics.

The paper shows motor asymmetry in larval teleosts is conserved across species and driven by thalamic neurons, with forms dependent on vision and independent of it.

This study identifies stac1 in zebrafish embryos and shows it is required for sensory stimulus-induced escape locomotion via regulation of CSF-cNs.

This study identifies Musashi proteins as essential regulators of protein expression and alternative splicing in photoreceptors, revealing their dual nuclear and cytoplasmic functions.

This study shows that visual experience induces functional changes in the thalamus, which require inhibitory signaling to regulate critical period timing and influence motor behavior.

This study identifies genetic and environmental factors influencing individual behavioral variation in larval zebrafish using light-search behavior.

This study identifies a cluster of posterior tuberculum neurons in zebrafish larvae that mediate intrinsic motor asymmetry through Notch signaling.

This study aligns two zebrafish brain atlases using symmetric diffeomorphic normalization, improving registration precision and preserving morphology.