期刊
FRONTIERS IN SYNAPTIC NEUROSCIENCE
卷 11, 期 -, 页码 -出版社
FRONTIERS RESEARCH FOUNDATION
DOI: 10.3389/fnsyn.2019.00021
关键词
synaptic transmission; short-term synaptic plasticity; model inference; probabilistic inference; quantal analysis
资金
- Wellcome Trust Doctoral Training Programme in Neural Dynamics [105207/Z/14/Z, 215303/Z/19/Z]
- European Research Council [741134]
- European Research Council (ERC) [741134] Funding Source: European Research Council (ERC)
- Wellcome Trust [105207/Z/14/Z] Funding Source: Wellcome Trust
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 in vivo network-wide recordings. Overall, these developments open the window to reliably estimating synaptic parameters in behaving animals.
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