Delivering specific patterns of electrical activity to the median nerve of the arm triggers reliable sensations of texture, suggesting that it may ultimately be possible to restore complex tactile information to users of prosthetic limbs.

Computational models of musical structure reveal cortical encoding of pitch and rhythm expectations during naturalistic music listening.

Psychophysical experiments and computational modeling demonstrate the importance of transient, instead of sustained, channels for the integration of audiovisual signals.

Computational modelling shows that coupled theta and gamma oscillations in the auditory cortex can decompose speech into its syllabic constituents, and organize the neural spiking at faster timescale into a decodable format.

Psychophysics experiments and EEG recordings reveal that people's performance in detecting unexpected changes in complex auditory scenes can be modeled as a process of sensory evidence accumulation.

The metabolic efficiency of learning in networks is improved by using forms of synaptic plasticity with different levels of persistence.

The creation of synthetic cells and organelles will open doors to new collaborative and funding opportunities.

BrainPy presents a general-purpose programming framework that enables efficient implementation, simulation, training, and analysis of brain dynamics models across multiple organization scales, ultimately facilitating the understanding of the complex neural mechanisms underlying brain functions.

A neural circuit model reveals how biological brains may implement rapid learning and navigation in complex spaces.