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 …

The correlation coefficient gauges linear association between two variables. However,
interpreting its value depends on the question at hand. This article argues that relying on the …

Being the most abundant synaptic type, the glutamatergic synapse is responsible for the
larger part of the brain's information processing. Despite the conceptual simplicity of the …

Synapses at dendritic branches exhibit specific properties for information processing.
However, how the synapses are orchestrated to dynamically modify their properties, thus …

Synaptic terminals grow and retract throughout life, yet synaptic strength is maintained within
stable physiological ranges. To study this process, we investigated Drosophila endophilin …

Excitatory synapses are typically described as single synaptic boutons (SSBs), where one
presynaptic bouton contacts a single postsynaptic spine. Using serial section block-face …

Experience-dependent plasticity is a key feature of brain synapses for which neuronal N-
Methyl-D-Aspartate receptors (NMDARs) play a major role, from developmental circuit …

Neurons receive correlated levels of excitation and inhibition, a feature that is important for
proper brain function. However, how this relationship between excitatory and inhibitory …

Neurons receive a large number of active synaptic inputs from their many presynaptic
partners across their dendritic tree. However, little is known about how the strengths of …

Hippocampal pyramidal neurons are characterized by a unique arborization subdivided in
segregated dendritic domains receiving distinct excitatory synaptic inputs with specific …