anTraX is an algorithm and software package that facilitates automated analyses of insect social behavior in species and experimental settings that are not accessible with currently existing technology.
Deep neural networks can be trained to automatically find mechanistic models which quantitatively agree with experimental data, providing new opportunities for building and visualizing interpretable models of neural dynamics.
Extensive mass spectrometry-based profiling of polar metabolites within synaptic vesicles that are rapidly isolated either from cultured mouse neurons or directly from mouse brains reveals their neurotransmitter composition.
Sophisticated decision-making mechanisms and complex experimental paradigms can be modeled, simulated, and fit to empirical response time data, using a flexible and efficient computational modeling framework.
Protein abundance changes across human-induced pluripotent stem cell lines reflect genetic variation across donors, with underlying mechanisms including modulation of RNA expression and modification of protein-coding sequences.