Synaptic plasticity, the activity-dependent change in neuronal connection strength, has long
been considered an important component of learning and memory. Computational and …

Artificial intelligence (AI), and, in particular, deep learning as a subcategory of AI, provides
opportunities for the discovery and development of innovative drugs. Various machine …

Cerebellar neuroscience has undergone a paradigm shift. The theories of the universal
cerebellar transform and dysmetria of thought and the principles of organization of cerebral …

Nanowire networks (NWNs) mimic the brain's neurosynaptic connectivity and emergent
dynamics. Consequently, NWNs may also emulate the synaptic processes that enable …

Learning-related changes in brain activity are thought to underlie adaptive behaviours,. For
instance, the learning of a reward site by rodents requires the development of an over …

Both the cerebellum and the basal ganglia are known for their roles in motor control and
motivated behavior. These two systems have been classically considered as independent …

Basal ganglia play a central role in regulating behavior, but the organization of their outputs
to other brain areas is incompletely understood. We investigate the largest output nucleus …

The Drosophila brain contains a relatively simple circuit for forming Pavlovian associations,
yet it achieves many operations common across memory systems. Recent advances have …

When animals interact with complex environments, their neural circuits must separate
overlapping patterns of activity that represent sensory and motor information. Pattern …

The brain generates predictive motor commands to control the spatiotemporal precision of
high-velocity movements. Yet, how the brain organizes automated internal feedback to …