Abstract
Rapid and precise neuronal communication is enabled through a highly synchronous release of signaling molecules neurotransmitters into the synaptic cleft within just milliseconds of the action potential. Yet neurotransmitter release lacks a theoretical framework that is both phenomenologically accurate and mechanistically realistic. Here, we formulate an analytic theory of the action-potential-triggered neurotransmitter release at a chemical synapse. The theory captures general principles of synaptic transmission while generating concrete predictions for particular synapses. A universal scaling in synaptic transmission is established, and demonstrated through a collapse of experimental data from different synapses onto a universal curve. The theory shows how key characteristics of synaptic function - plasticity, fidelity, and efficacy - emerge from molecular mechanisms of neurotransmitter release machinery.
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Modeling noise mechanisms in neuronal synaptic transmission
Abhyudai Singh·bioRxiv·Mar 22, 2017
- Analytical solutions for the short-term plasticity
Paulo Ricardo Protachevicz, Antonio Marcos Batista, … Murilo S. Baptista·Chaos Solitons & FractalsPeer-reviewed·Feb 29, 2024
- Multiscale modeling of presynaptic dynamics from molecular to mesoscale
Jonathan W. Garcia, Thomas M. Bartol, Terrence J. Sejnowski A B·PLoS Computational BiologyPeer-reviewed·May 9, 2022
- Stochastic analysis of frequency bandwidth and noise attenuation in neurotransmission
Zahra Vahdat, Abhyudai Singh·bioRxiv·Apr 1, 2022
- Synapse-to-synapse plasticity variability balanced to generate input-wide constancy of transmitter release
Krisha Aghi, Ryan Schultz, … Ehud Y. Isacoff·bioRxiv·Sep 11, 2024
- Synaptotagmin 1 oligomers clamp and regulate different modes of neurotransmitter release
Erica Tagliatti, Oscar Daniel Bello, … Kirill E. Volynski·Proceedings of the National Academy of SciencesPeer-reviewed·Feb 3, 2020