Cerebellar functional regions follow a gradual organization, which progresses from primary (motor) to transmodal (Default Mode Network) regions, and a secondary axis extends from task-unfocused to task-focused processing.
Motor training decreased the unit synaptic response and suppressed induction of long-term depression at parallel fiber to Purkinje cell synapses in the cerebellum, supporting involvement of long-term depression in motor learning.
A multi-phase wrinkling model accounts for the radial and circumferential tension and differential expansion between a uniformly proliferating outer fluid-like layer and an incompressible core that together drive cerebellar folding.
Quantitative analysis of behavior coupled with computational modeling reveal the set of circuit-level principles that underlie cerebellar-dependent motor learning in smooth pursuit eye movements of monkeys across timescales.
The first patch-clamp recordings from single cerebellar granule cells during locomotion reveal that the entire step sequence can be predicted from both excitatory synaptic input and output spikes from a single neuron.
Cerebellar Purkinje neurons use a multiplexed simple spike code combining synchrony/spike time and firing rate, with each component encoding distinct information about movements such as motion onset timing and kinematics.