中文簡(jiǎn)介

計(jì)算神經(jīng)科學(xué)前沿致力于促進(jìn)大腦功能的理論建模，促進(jìn)理論神經(jīng)科學(xué)和實(shí)驗(yàn)神經(jīng)科學(xué)之間的跨學(xué)科互動(dòng)。在理解大腦驚人能力方面的進(jìn)展仍然是有限的，我們相信，只有通過深入的理論思考和不同學(xué)科和方法之間相互促進(jìn)的合作，才能實(shí)現(xiàn)這一目標(biāo)。因此，我們邀請(qǐng)對(duì)廣泛的主題作出原創(chuàng)貢獻(xiàn)，以展示這種合作的成果，或?yàn)槲磥?lái)的聯(lián)盟提供刺激。我們的目標(biāo)是為神經(jīng)系統(tǒng)的前沿理論研究提供一個(gè)互動(dòng)的論壇，并向更廣泛的神經(jīng)科學(xué)社區(qū)傳播最好的理論研究。所有類型和所有級(jí)別的模型都是受歡迎的，從生物物理動(dòng)機(jī)的神經(jīng)元和突觸的現(xiàn)實(shí)模擬到高級(jí)抽象的推理和決策模型。雖然該雜志主要側(cè)重于基于理論和驅(qū)動(dòng)的研究，我們歡迎驗(yàn)證和測(cè)試?yán)碚摻Y(jié)論的實(shí)驗(yàn)研究。

　　英文簡(jiǎn)介

Frontiers in Computational Neuroscience is devoted to promoting theoretical modeling of brain function and fostering interdisciplinary interactions between theoretical and experimental neuroscience. Progress in understanding the amazing capabilities of the brain is still limited, and we believe that it will only come with deep theoretical thinking and mutually stimulating cooperation between different disciplines and approaches. We therefore invite original contributions on a wide range of topics that present the fruits of such cooperation, or provide stimuli for future alliances. We aim to provide an interactive forum for cutting-edge theoretical studies of the nervous system, and for promulgating the best theoretical research to the broader neuroscience community. Models of all styles and at all levels are welcome, from biophysically motivated realistic simulations of neurons and synapses to high-level abstract models of inference and decision making. While the journal is primarily focused on theoretically based and driven research, we welcome experimental studies that validate and test theoretical conclusions.

　　近年期刊自引率趨勢(shì)圖

　　JCR分區(qū)

JCR分區(qū)等級(jí)	JCR所屬學(xué)科	分區(qū)	影響因子
Q2	MATHEMATICAL & COMPUTATIONAL BIOLOGY	Q2	3.387
	NEUROSCIENCES	Q3

　　近年期刊影響因子趨勢(shì)圖

　　CiteScore數(shù)值

CiteScore	SJR	SNIP	學(xué)科類別	分區(qū)	排名	百分位
4.80	0.797	1.114	大類：Neuroscience 小類：Neuroscience (miscellaneous)	Q2	9 / 31	72%
			大類：Neuroscience 小類：Cellular and Molecular Neuroscience	Q3	62 / 88	30%

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