Name
Abstract | ||
|---|---|---|
Chemical synapses transmit information via the release of neurotransmitter-filled vesicles from the presynaptic terminal. Using computational modeling, we predict that the limited availability of neurotransmitter resources in combination with the spontaneous release of vesicles limits the maximum degree of enhancement of synaptic transmission. This gives rise to an optimal tuning that depends on the number of active zones. There is strong experimental evidence that astrocytes that enwrap synapses can modulate the probabilities of vesicle release through bidirectional signaling and hence regulate synaptic transmission. For low-fidelity hippocampal synapses, which typically have only one or two active zones, the predicted optimal values lie close to those determined by experimentally measured astrocytic feedback, suggesting that astrocytes optimize synaptic transmission of information. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1371/journal.pcbi.1000088 | PLOS COMPUTATIONAL BIOLOGY |
Keywords | Field | DocType |
synaptic transmission,active zone,computer model,maximum degree | Synaptic pharmacology,Synapse,Neuroscience,Anatomy,Neurotransmission,Biology,Synaptic augmentation,Synaptic plasticity,Genetics,Calcium signaling,Glutamate receptor,Neurotransmitter | Journal |
Volume | Issue | ISSN |
4 | 5 | 1553-734X |
Citations | PageRank | References |
20 | 2.11 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Suhita Nadkarni | 1 | 27 | 3.02 |
| Peter Jung | 2 | 20 | 2.11 |
| Herbert Levine | 3 | 82 | 12.58 |