A principle from which the neuronal dynamics and synaptic plasticity in arbitrary network architectures can be inferred, so that output errors are online minimized while simultaneously processing sensory input streams.

Whole-brain computational modelling, incorporating novel ML-based parameter estimation techniques, reveals how transcranial magnetic stimulation-evoked brain responses are driven at earlier timepoints by local echoes of the external stimulus, and at later timepoints by large-scale network reverberation across the connectome.

A data-reduced neuro-behavioral geometry in psychosis spectrum disorders mapped symptoms stably on to distinct functional brain regions and offers a framework for informing personalized treatment selection decisions.

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.

In adolescent rats, whose actions are more impulsive, neuronal striatal activity that precedes self-initiated action sequences has a steeper modulation by waiting time compared to the modulation found in adults.

Dopamine signaling gradually causes long-lasting changes in fine motor coordination that can later be activated by acute changes in dopamine neuron activity.

Dentate nucleus neurons can dynamically modulate their activity during a visual attention task, comprising not only sensorimotor but also cognitive attentional components.

Using a sequential neurofeedback-arm reaching task, a new link is established among population neural activity patterns, generation of beta oscillations, and motor behavior changes.

Unsupervised clustering of the heterogeneous functional brain organization in autism reveals generalizable patterns of connectivity alterations that extend to the general population.

State anxiety alters the dynamics of beta oscillations during reward-dependent motor learning, thereby impairing proper updating of motor predictions when learning in unstable environments.