ArticleFrontiers in synaptic neuroscience2019
Parsing Out the Variability of Transmission at Central Synapses Using Optical Quantal Analysis.
Article in Frontiers in synaptic neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Fusion Pores as Regulators of Quantal Size and Cellular Physiology.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025Review
- Low throughput screening in neuroscience: using light to study central synapses one at a time.Neurophotonics · 2023Article
- Efficient sampling-based Bayesian Active Learning for synaptic characterization.PLoS computational biology · 2023Article
- Article
- Editorial: Recent advances in measuring and controlling synaptic communication.Frontiers in cellular neuroscience · 2023Article
- Vesicular release probability sets the strength of individual Schaffer collateral synapses.Nature communications · 2022Article
- Normalized unitary synaptic signaling of the hippocampus and entorhinal cortex predicted by deep learning of experimental recordings.Communications biology · 2022Article
- The functional organization of excitatory synaptic input to place cells.Nature communications · 2021Article
- Linear-nonlinear cascades capture synaptic dynamics.PLoS computational biology · 2021Article
- Illuminating Relationships Between the Pre- and Post-synapse.Frontiers in neural circuits · 2020Review
- Model-Based Inference of Synaptic Transmission.Frontiers in synaptic neuroscience · 2019Review
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Authors and funding
5 authors.
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Abstract
Properties of synaptic release dictates the core of information transfer in neural circuits. Despite decades of technical and theoretical advances, distinguishing bona fide information content from the multiple sources of synaptic variability remains a challenging problem. Here, we employed a combination of computational approaches with cellular electrophysiology, two-photon uncaging of MNI-Glutamate and imaging at single synapses. We describe and calibrate the use of the fluorescent glutamate sensor iGluSnFR and found that its kinetic profile is close to that of AMPA receptors, therefore providing several distinct advantages over slower methods relying on NMDA receptor activation (i.e., chemical or genetically encoded calcium indicators). Using an array of statistical methods, we further developed, and validated on surrogate data, an expectation-maximization algorithm that, by biophysically constraining release variability, extracts the quantal parameters n (maximum number of released vesicles) and p (unitary probability of release) from single-synapse iGluSnFR-mediated transients. Together, we present a generalizable mathematical formalism which, when applied to optical recordings, paves the way to an increasingly precise investigation of information transfer at central synapses.
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