ReviewProgress in molecular biology and translational science2014
Data-driven modeling of synaptic transmission and integration.
Review in Progress in molecular biology and translational science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 26 citations in OpenAlex.
- Homeostatic scaling ensures behavioural stability during corticosterone negative feedback.Molecular psychiatry · 2026Article
- Intensity-dependent tACS entrainment effects in a cortical microcircuit: a computational study.Scientific reports · 2026Article
- Design of CMOS-memristor hybrid synapse and its application for noise-tolerant memristive spiking neural network.Frontiers in neuroscience · 2025Article
- Slow ramping emerges from spontaneous fluctuations in spiking neural networks.Nature communications · 2024Article
- Article
- Effects of transcranial alternating current stimulation on spiking activity in computational models of single neocortical neurons.NeuroImage · 2022Article
- Bio-Inspired Autonomous Learning Algorithm With Application to Mobile Robot Obstacle Avoidance.Frontiers in neuroscience · 2022Article
- Article
- A Proposed Mechanism for Spontaneous Transitions between Interictal and Ictal Activity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
- Supervised Learning in SNN via Reward-Modulated Spike-Timing-Dependent Plasticity for a Target Reaching Vehicle.Frontiers in neurorobotics · 2019Article
- NeuroMatic: An Integrated Open-Source Software Toolkit for Acquisition, Analysis and Simulation of Electrophysiological Data.Frontiers in neuroinformatics · 2018Article
- Hybrid Markov-mass action law model for cell activation by rare binding events: Application to calcium induced vesicular release at neuronal synapses.Scientific reports · 2016Article
- Extracting quantal properties of transmission at central synapses.Neuromethods · 2016Article
- Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue.Frontiers in cellular neuroscience · 2016Review
- Single granule cells excite Golgi cells and evoke feedback inhibition in the cochlear nucleus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2015Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
In this chapter, we describe how to create mathematical models of synaptic transmission and integration. We start with a brief synopsis of the experimental evidence underlying our current understanding of synaptic transmission. We then describe synaptic transmission at a particular glutamatergic synapse in the mammalian cerebellum, the mossy fiber to granule cell synapse, since data from this well-characterized synapse can provide a benchmark comparison for how well synaptic properties are captured by different mathematical models. This chapter is structured by first presenting the simplest mathematical description of an average synaptic conductance waveform and then introducing methods for incorporating more complex synaptic properties such as nonlinear voltage dependence of ionotropic receptors, short-term plasticity, and stochastic fluctuations. We restrict our focus to excitatory synaptic transmission, but most of the modeling approaches discussed here can be equally applied to inhibitory synapses. Our data-driven approach will be of interest to those wishing to model synaptic transmission and network behavior in health and disease.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.