A computational model for the control of chemotaxis in the Drosophila larva clarifies the link between the peripheral encoding of naturalistic olfactory stimuli and action selection.

In the first study attempting to formally quantify the deleterious impact of research misconduct on funding sources and publication output, we found that misconduct accounts for a small but substantial portion of American biomedical science funding dollars and damages the productivity and rate of funding acquisition of those who commit misconduct.

A fundamental visual computation, the establishment of ON selectivity, is established across distributed circuits, allowing for more robust and flexible coding than suggested by core circuit motifs.

The tapered, conical shape of rodent whiskers is essential for sensor mobility in constrained spaces and feature extraction from textured surfaces.

A computational strategy for extracting representative numerical features from 3D microscopy data enables in-depth quantitative analysis of cell and tissue organization through machine learning-driven data integration and context-guided visualization.

Combining high-resolution imaging with automated image segmentation and supervised machine learning achieves accurate cellular feature extraction and automated cell type recognition in a large-scale developmental process.

Unexplained repeated pregnancy loss is associated with an altered perception of male odors and differences in brain regions that process smells.

The great pond snail is a multipurpose model organism and a contemporary choice for addressing a wide range of biological questions, problems and phenomena in the laboratory and the field.