Release probability (pr) is a fundamental presynaptic parameter which is critical in defining synaptic strength. Knowledge of how synapses set and regulate their pr is a fundamental step in understanding synaptic transmission and communication between neurons. Despite its importance, pr is difficult to measure directly at single synapses. One important strategy to achieve this has relied on the application of fluorescence-based imaging methods, but this is always limited by the lack of detailed information on the morphological and structural properties of the individual synapses under study, and thus precludes an investigation of the relationship between pr and synaptic anatomy. Here we outline a powerful methodology based on using FM-styry...
One of the fundamental questions in Neuroscience is how the structure of synapses and their physiolo...
Advanced imaging techniques have revealed that synapses contain nanomodules in which pre- and post-s...
Synaptic plasticity is a cellular model for learning and memory. However, the expression mechanisms ...
AbstractRelease probability (pr) is a fundamental presynaptic parameter which is critical in definin...
AbstractWe have used endocytotic uptake of the styryl dye FM1–43 at synaptic terminals (Betz and Bew...
AbstractHippocampal neurons in tissue culture develop functional synapses that exhibit considerable ...
AbstractPrevious studies of short-term plasticity in central nervous systems synapses have largely f...
Hippocampal synapses display a range of release probabilities. This is partially the result of scali...
AbstractWhen hippocampal synapses in culture are pharmacologically silenced for several days, synapt...
Many synapses can change their strength rapidly in a use-dependent manner, but the mechanisms of suc...
Communication between neurons is mediated by the release of neurotransmitter-containing vesicles fro...
In small presynaptic boutons in brain, synaptic vesicles are thought not to merge with the plasma me...
Synapses are distributed heterogeneously in neural networks. The relationship between the spatial ar...
Vesicles within presynaptic terminals are thought to be segregated into a variety of readily releasa...
The strength of a synapse is an important variable that will affect the function of neural circuits....
One of the fundamental questions in Neuroscience is how the structure of synapses and their physiolo...
Advanced imaging techniques have revealed that synapses contain nanomodules in which pre- and post-s...
Synaptic plasticity is a cellular model for learning and memory. However, the expression mechanisms ...
AbstractRelease probability (pr) is a fundamental presynaptic parameter which is critical in definin...
AbstractWe have used endocytotic uptake of the styryl dye FM1–43 at synaptic terminals (Betz and Bew...
AbstractHippocampal neurons in tissue culture develop functional synapses that exhibit considerable ...
AbstractPrevious studies of short-term plasticity in central nervous systems synapses have largely f...
Hippocampal synapses display a range of release probabilities. This is partially the result of scali...
AbstractWhen hippocampal synapses in culture are pharmacologically silenced for several days, synapt...
Many synapses can change their strength rapidly in a use-dependent manner, but the mechanisms of suc...
Communication between neurons is mediated by the release of neurotransmitter-containing vesicles fro...
In small presynaptic boutons in brain, synaptic vesicles are thought not to merge with the plasma me...
Synapses are distributed heterogeneously in neural networks. The relationship between the spatial ar...
Vesicles within presynaptic terminals are thought to be segregated into a variety of readily releasa...
The strength of a synapse is an important variable that will affect the function of neural circuits....
One of the fundamental questions in Neuroscience is how the structure of synapses and their physiolo...
Advanced imaging techniques have revealed that synapses contain nanomodules in which pre- and post-s...
Synaptic plasticity is a cellular model for learning and memory. However, the expression mechanisms ...