The posterior cerebellum has a critical role in human social and emotional learning. Three
systems and related neural networks support this cerebellar function: a biological action …

Performing successful adaptive behaviour relies on our ability to process a wide range of
temporal intervals with certain precision. Studies on the role of the cerebellum in temporal …

Major Depressive Disorder (MDD) is a complex, heterogeneous condition affecting millions
worldwide. Computational neuropsychiatry offers potential breakthroughs through the …

Determining the sites and directions of plasticity underlying changes in neural activity and
behavior is critical for understanding mechanisms of learning. Identifying such plasticity from …

The brain must maintain a stable world model while rapidly adapting to the environment, but
the underlying mechanisms are not known. Here, we posit that cortico-cerebellar loops play …

Biological neural networks adapt and learn in diverse behavioral contexts. Artificial neural
networks (ANNs) have exploited biological properties to solve complex problems. However …

Although it may appear infeasible and impractical, building artificial intelligence (AI) using a
bottom-up approach based on the understanding of neuroscience is straightforward. The …

Background Acupuncture involving the limb region may be effective for stroke rehabilitation
clinically, but the visualised and explanatory evidence is limited. Our objectives were to …

The motor cortex controls skilled arm movement by recruiting a variety of targets in the
nervous system, and it is important to understand the emergent activity in these regions as …

Temporally coordinated neural activity is central to nervous system function and purposeful
behavior. Still, there is a paucity of evidence demonstrating how this coordinated activity …