雜志介紹

Journal Of Computational Neuroscience雜志介紹

《Journal Of Computational Neuroscience》是一本以English為主的未開放獲取國際優(yōu)秀期刊，中文名稱計(jì)算神經(jīng)科學(xué)雜志，本刊主要出版、報(bào)道醫(yī)學(xué)-MATHEMATICAL & COMPUTATIONAL BIOLOGY領(lǐng)域的研究動(dòng)態(tài)以及在該領(lǐng)域取得的各方面的經(jīng)驗(yàn)和科研成果，介紹該領(lǐng)域有關(guān)本專業(yè)的最新進(jìn)展，探討行業(yè)發(fā)展的思路和方法，以促進(jìn)學(xué)術(shù)信息交流，提高行業(yè)發(fā)展。該刊已被國際權(quán)威數(shù)據(jù)庫SCIE收錄，為該領(lǐng)域相關(guān)學(xué)科的發(fā)展起到了良好的推動(dòng)作用，也得到了本專業(yè)人員的廣泛認(rèn)可。該刊最新影響因子為1.5，最新CiteScore 指數(shù)為2。

本刊近期中國學(xué)者發(fā)表的論文主要有：

• A coarse-graining framework for spiking neuronal networks: from strongly-coupled conductance-based integrate-and-fire neurons to augmented systems of ODEs

  Author: Jiwei Zhang, Yuxiu Shao, Aaditya V. Rangan, Louis Tao

• Gap junction permeability modulated by dopamine exerts effects on spatial and temporal correlation of retinal ganglion cells’ firing activities

  Author: Jing-Yi Bu, Hao Li, Hai-Qing Gong, Pei-Ji Liang, Pu-Ming Zhang

• Exploring how extracellular electric field modulates neuron activity through dynamical analysis of a two-compartment neuron model

  Author: Guo-Sheng Yi, Jiang Wang, Xi-Le Wei, Kai-Ming Tsang, Wai-Lok Chan, Bin Deng, Chun-Xiao Han

• Dimensional reduction of a V1 ring model with simple and complex cells

  Author: Cong Wang, Louis Tao

英文介紹

Journal Of Computational Neuroscience雜志英文介紹

The Journal of Computational Neuroscience provides a forum for papers that fit the interface between computational and experimental work in the neurosciences. The Journal of Computational Neuroscience publishes full length original papers, rapid communications and review articles describing theoretical and experimental work relevant to computations in the brain and nervous system. Papers that combine theoretical and experimental work are especially encouraged. Primarily theoretical papers should deal with issues of obvious relevance to biological nervous systems. Experimental papers should have implications for the computational function of the nervous system, and may report results using any of a variety of approaches including anatomy, electrophysiology, biophysics, imaging, and molecular biology. Papers investigating the physiological mechanisms underlying pathologies of the nervous system, or papers that report novel technologies of interest to researchers in computational neuroscience, including advances in neural data analysis methods yielding insights into the function of the nervous system, are also welcomed (in this case, methodological papers should include an application of the new method, exemplifying the insights that it yields).It is anticipated that all levels of analysis from cognitive to cellular will be represented in the Journal of Computational Neuroscience.