中文简介
计算神经科学前沿致力于促进大脑功能的理论建模，促进理论神经科学和实验神经科学之间的跨学科互动。在理解大脑惊人能力方面的进展仍然是有限的，我们相信，只有通过深入的理论思考和不同学科和方法之间相互促进的合作，才能实现这一目标。因此，我们邀请对广泛的主题作出原创贡献，以展示这种合作的成果，或为未来的联盟提供刺激。我们的目标是为神经系统的前沿理论研究提供一个互动的论坛，并向更广泛的神经科学社区传播最好的理论研究。所有类型和所有级别的模型都是受欢迎的，从生物物理动机的神经元和突触的现实模拟到高级抽象的推理和决策模型。虽然该杂志主要侧重于基于理论和驱动的研究，我们欢迎验证和测试理论结论的实验研究。
英文简介
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.
近年期刊自引率趋势图
JCR分区
| JCR分区等级 | JCR所属学科 | 分区 | 影响因子 |
| Q2 | MATHEMATICAL & COMPUTATIONAL BIOLOGY | Q2 | 3.387 |
| NEUROSCIENCES | Q3 |
近年期刊影响因子趋势图
CiteScore数值
| CiteScore | SJR | SNIP | 学科类别 | 分区 | 排名 | 百分位 |
| 4.80 | 0.797 | 1.114 | 大类：Neuroscience 小类：Neuroscience (miscellaneous) | Q2 | 9 / 31 |
72% |
| 大类：Neuroscience 小类：Cellular and Molecular Neuroscience | Q3 | 62 / 88 |
30% |
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