Emotional learning retroactively promotes memory integration for previously neutral events into episodic memory to foster future event predictions, through rapidly stimulating trial-specific reactivation of overlapping memory traces and reorganization of associated memories among the amygdala, hippocampal, and neocortical circuits.

The rapid learning of sensory information in cortical circuits is accompanied by a tight coordination of spike timing with the local theta-band population activity in visual cortex.

Animals can thrive alongside humans by being expert judges of risk.

Deep Learning Artificial Intelligence tools can be developed to accurately identify cell divisions during development and wound repair of epithelial tissue.

A new automated and unsupervised algorithm, Risk Assessment Population IDentification, identifies risk-stratifying cells in single cell datasets with robust statistical and biological validation.

RaSP is a method for making rapid and accurate predictions of changes in protein stability that enabled us to calculate ~300 million stability changes for nearly all possible single amino acid changes in the human proteome.

Application of hierarchical machine learning to the geographical source attribution of Salmonella enteritidis indicates high utility for the rapid translation of raw pathogen genome sequencing data into accurate and actionable information for disease management in public health.

Mice exploring a labyrinth freely for the first time learn a complex action sequence after a handful of rewards, exhibiting a learning rate 1000-fold higher than in commonly-used paradigms.

With three simple steps in 48 hr, EZ Clear effectively renders adult mouse organs optically transparent while simultaneously preserving signal from synthetic and endogenous fluorescent reporters and is compatible with wholemount immunostaining and cryosectioning followed by histological or immunofluorescent staining.

A close approximation to the successor representation is learnt by a simple spike-time-dependent learning rule between cells undergoing theta phase precession.