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

Optogenetic actuators enable highly precise spatiotemporal interrogation of biological
processes at levels ranging from the subcellular to cells, circuits and behaving organisms …

Self-organizing neural organoids represent a promising in vitro platform with which to model
human development and disease,,,–. However, organoids lack the connectivity that exists in …

While initial encoding of contextual memories involves the strengthening of hippocampal
circuits, these memories progressively mature to stabilized forms in neocortex and become …

The prefrontal cortex (PFC) orchestrates higher brain function and becomes disrupted in
many mental health disorders. The rodent medial PFC (mPFC) possesses an enormous …

Cortical networks are composed of glutamatergic excitatory projection neurons and local
GABAergic inhibitory interneurons that gate signal flow and sculpt network dynamics …

Neuronal cell types are the nodes of neural circuits that determine the flow of information
within the brain. Neuronal morphology, especially the shape of the axonal arbor, provides …

Synaptic plasticity is believed to be a key physiological mechanism for learning. It is well
established that it depends on pre-and postsynaptic activity. However, models that rely …

Deep learning has seen remarkable developments over the last years, many of them
inspired by neuroscience. However, the main learning mechanism behind these advances …

Functions of the neocortex depend on its bidirectional communication with the thalamus, via
cortico-thalamo-cortical (CTC) loops. Recent work dissecting the synaptic connectivity in …