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Dimensionality reduction approaches on functional MRI data reveal that human reward-based motor learning emerges from dynamic changes in functional brain network interactions among sensorimotor, attention, and default mode networks.

Recordings of ear muscles in humans show that ears attempt to pivot in the direction that requires attention.

A model framework and toolbox to quantify metacognitive biases and sources of metacognitive noise in animal and human confidence data.

Neurons in the midbrain superior colliculus of free-flying echolocating bats represent 3D sensory space, and the depth tuning of single neurons is modulated by an animal's active sonar inspection of physical objects in its environment.

Despite lacking traditional ganglia or centralization, the Hydra nervous system computes sensorimotor responses via localized neuron ensembles.

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.