ReviewFrontiers in synaptic neuroscience2019
Model-Based Inference of Synaptic Transmission.
Review 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 10 papers.
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Who cites it
10 citing papers in PubMed.
- Article
- Inferring synaptic transmission from the stochastic dynamics of the quantal content: An analytical approach.PLoS computational biology · 2025Article
- Refining Flash Visual Evoked Potential Analysis in Rats: A Novel Approach Using Bilateral Epidural Electrodes.Translational vision science & technology · 2024Article
- Exact Distribution of the Quantal Content in Synaptic Transmission.Physical review letters · 2024Article
- The short-term plasticity of VIP interneurons in motor cortex.Frontiers in synaptic neuroscience · 2024Article
- Efficient sampling-based Bayesian Active Learning for synaptic characterization.PLoS computational biology · 2023Article
- An Insight into Cellular and Molecular Mechanisms Underlying the Pathogenesis of Neurodegeneration in Alzheimer's Disease.Biomedicines · 2023Review
- Local connectivity and synaptic dynamics in mouse and human neocortex.Science (New York, N.Y.) · 2022Article
- Modeling the Short-Term Dynamics ofThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
- Identifiability of a Binomial Synapse.Frontiers in computational neuroscience · 2020Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Synaptic computation is believed to underlie many forms of animal behavior. A correct identification of synaptic transmission properties is thus crucial for a better understanding of how the brain processes information, stores memories and learns. Recently, a number of new statistical methods for inferring synaptic transmission parameters have been introduced. Here we review and contrast these developments, with a focus on methods aimed at inferring both synaptic release statistics and synaptic dynamics. Furthermore, based on recent proposals we discuss how such methods can be applied to data across different levels of investigation: from intracellular paired experiments to
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