Genetic variance of adult human height shows a generally increasing trend across the birth-year cohorts but heritability estimates do not present any clear pattern of secular changes over a century.

A multi-compartment spiking neural network model demonstrates that biologically feasible deep learning can be achieved if sensory inputs and higher-order feedback are received by different dendritic compartments.

Confluent cellular layers display the remarkable ability of supportingmultiscale orientational order, that is the existence of different typeof liquid crystal order at different length scales.

Simultaneous recording from many neurons in macaque lateral intraparietal area reveals the elusive drift-diffusion signal, long suspected to underlie individual perceptual decisions and response times.

Recurrent neuronal networks learn to predict movement in a self-supervised way using biologically plausible learning rules.

The GABA input switching from excitatory to inhibitory during maturation of adult-born dentate granule cells is crucial for their integration into the preexisting circuit.

Neurons in motor cortex contain information about each arm, but these signals are separated into different dimensions, allowing separate control of each arm.

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