Model-Based Inference of Synaptic Transmission-Reference-Cited by-同舟云学术

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Model-Based Inference of Synaptic Transmission

Published:2019-08-20 Issue: Volume:11 Page:
ISSN:1663-3563
Container-title:Frontiers in Synaptic Neuroscience
language:
Short-container-title:Front. Synaptic Neurosci.

Author:

Bykowska Ola,Gontier Camille,Sax Anne-Lene,Jia David W.,Montero Milton Llera,Bird Alex D.,Houghton Conor,Pfister Jean-Pascal,Costa Rui Ponte

Funder

Wellcome Trust

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Publisher

Frontiers Media SA

Subject

Cell Biology,Cellular and Molecular Neuroscience

Reference62 articles.

1. Differential regulation of evoked and spontaneous release by presynaptic NMDA receptors;Abrahamsson;Neuron,2017

2. Quantifying repetitive transmission at chemical synapses: a generative-model approach;Barri;eNeuro,2016

3. Estimating the readily-releasable vesicle pool size at synaptic connections in a neocortical microcircuit;Barros-Zulaica;bioRxiv,2019

4. A novel presynaptic inhibitory mechanism underlies paired pulse depression at a fast central synapse;Bellingham;Neuron,1999

5. Reliable evaluation of the quantal determinants of synaptic efficacy using Bayesian analysis;Bhumbra;J. Neurophysiol.,2013

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1. The short-term plasticity of VIP interneurons in motor cortex;Frontiers in Synaptic Neuroscience;2024-08-29

2. Hierarchical Bayesian modeling of multi-region brain cell count data;2024-07-21

3. Exact Distribution of the Quantal Content in Synaptic Transmission;Physical Review Letters;2024-05-31

4. Anomalous diffusion of synaptic vesicles and its influences on spontaneous and evoked neurotransmission;The Journal of Physiology;2024-05-09

5. Functional subtypes of synaptic dynamics in mouse and human;Cell Reports;2024-02

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