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Human neuroimaging with time-evolving network analysis reveals dynamic interactions among multiple functional brain networks in response to sustained pain.

Locally recorded calcium events related to slow wave activity show a global cortical fMRI BOLD correlate, establishing a direct relation between a basic neurophysiological signal and the macroscopic perspective of pre-clinical fMRI.

Neuropathic pain preserves mouse sleep in architecture and characteristic spectral bands but perturbs arousability in ways reminiscent of insomnia disorders, in which hyperarousal and hyperalertness to environmental stimuli are prevalent.

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.

Area 2 of somatosensory cortex represents kinematic details of the entire arm during movement, but this mapping from limb state to neural activity differs for reaching and passive limb displacement.

Small gated recurrent neural networks can dynamically adapt to inferred changes in the environment, represent and use the precision of their estimate to weight their updates, and leverage the environment's latent hierarchical structure, like the Bayesian agent and the brain.

The generation and systematic characterisation of driver lines labelling a large number of neurons in the Drosophila innate olfactory processing centre bridges electron microscopy neuronal reconstructions, circuits and behaviour.