投稿信息
投稿信息
审稿周期
投稿命中率
审稿费用
暂无数据
版面费用
暂无数据
中国人发表比例
2023年中国人文章占该期刊总数量暂无数据 (2022年为100.00%)
自引率
4.8 %
年文章数
4247
NCBI查询
期刊简介
稿件收录要求
稿件收录要求
Frontiers in Cellular Neuroscience is a multidisciplinary open-access journal devoted to better understanding the cellular mechanisms underlying the functions of the cells composing the nervous system (neural and non-neuronal) across all species. The past years have seen exciting progress in this area because of the merging of traditionally separate fields such as anatomy, physiology and molecular genetics. We welcome submissions of multidisciplinary studies of cellular function in vertebrates and invertebrates, in cell culture, in vivo, or using slices, and involving genetically amenable species, such as Drosophila, C. elegans, mice, and zebra fish, as well as any other species suited to elucidate fundamental principles of cellular function in neurons. Studies on basic neural functions, such as the generation of action potentials, synaptic transmission, biophysical and biochemical aspects of receptor activation, ionic channel functions, synaptic plasticity, intra- and inter- cell signaling related to the emergent functions of cells, glial-neuronal signaling and synaptic and dendritic integration, are welcome. An important frontier for the journal is to address issues at bridge between molecular/cellular physiology and integrative neuroscience, so as to understand the impact of cellular/molecular properties of neurons on circuit functions and behavior. Frontiers in Cellular Neuroscience will devote special attention to novel technical approaches able to shed light on yet unresolved neuroscientific issues. Frontiers in Cellular Neuroscience also publishes research on the morphology of cells and how these morphologies relate to the emergent functions of neurons. This journal also welcomes research focused on the developing adult and ageing cell, as well as cellular changes in diseases. While the journal’s primary focus is on experimental studies, we also welcome the addition of computational models to further explore experimental findings.
