We introduce a convolutional neural network that operates directly on graphs. These
networks allow end-to-end learning of prediction pipelines whose inputs are graphs of
arbitrary size and shape. The architecture we present generalizes standard molecular  …

Until recently, it has been impossible to approach learning with the techniques of cell
biology. During the past several years, elementary forms of learning have been analyzed in
higher invertebrates. Their nervous systems allow the experimental study of behavioral …

This article explores past, current, and ongoing research associated with the evolution of
design principles for effective animations for teaching and learning molecular sciences.
Much of the data and background information in this paper results from the efforts of …

Pavlovian fear conditioning is a particularly useful behavioral paradigm for exploring the
molecular mechanisms of learning and memory because a well-defined response to a
specific environmental stimulus is produced through associative learning processes …

The rat insular cortex (IC) subserves the memory of conditioned taste aversion (CTA), in
which a taste is associated with malaise. When the conditioned taste is unfamiliar, formation
of long-term CTA memory depends on muscarinic and β-adrenergic receptors, mitogen …

We introduce a machine learning model to predict atomization energies of a diverse set of
organic molecules, based on nuclear charges and atomic positions only. The problem of
solving the molecular Schrödinger equation is mapped onto a nonlinear statistical …

Here we summarize recent progress in machine learning for the chemical sciences. We
outline machine-learning techniques that are suitable for addressing research questions in
this domain, as well as future directions for the field. We envisage a future in which the …

Machine learning has emerged as an invaluable tool in many research areas. In the present
work, we harness this power to predict highly accurate molecular infrared spectra with
unprecedented computational efficiency. To account for vibrational anharmonic and …

Repetition in learning is a prerequisite for the formation of accurate and long-lasting
memory. Practice is most effective when widely distributed over time, rather than when
closely spaced or massed. But even after efficient learning, most memories dissipate with …

Fear conditioning is a valuable behavioral paradigm for studying the neural basis of
emotional learning and memory. The lateral nucleus of the amygdala (LA) is a crucial site of
neural changes that occur during fear conditioning. Pharmacological manipulations of the …