To establish a trade-off between the speed and accuracy of a decision, neurons in lateral intraparietal cortex combine evidence bearing on the decision with a signal that incorporates the cost of time into the decision-making process.

Neurons in the macaque posterior parietal cortex behave like an error detector that computes the saccadic error by comparing the intended and the actual saccade end-position signals.

The spatial and dynamic properties of self-motion signals are acquired at the first stage of otolith signal transformation, which is in the brainstem and cerebellum, and conserved across brainstem, cerebellar and cortical areas.

The cortical grasping circuit separates but shares visual and motor processes to transform object attributes into appropriate hand movements.

Within the monkey orbitofrontal cortex, a posterior part learns new values, whereas an anterior part translates this knowledge into advantageous decisions.

A novel analysis of neural activity recorded in monkeys performing a “brain-machine interface” task reveals that a mismatch between motor effectors and the brains’ internal models of those effectors can explain a substantial portion of movement errors.

Electrode recordings and optogenetics reveal that the cerebellum can modulate its response to error signals from the brainstem during motor learning.

The link between the activity of large populations of cortical neurons and single neuron responses is examined in primates using a new optical-genetic method.

Whenever monkeys are required to choose between multiple options, neural responses indicate that they first select the desired outcome and then use this information to guide their actions.

Large-scale electrocorticography and big data analysis of brain-wide neuronal interactions reveal the architecture of network information flow for context processing in primate brain.