Frontiers in Systems Neuroscience

Frontiers in Systems Neuroscience is an open-access journal devoted to understanding whole systems of the brain, such as those involved in sensation, movement, learning and memory, attention, reward, decision-making, reasoning, executive functions, and emotions. The orientation is toward papers addressing the structural and functional architecture of brain systems, as well as the principles of information processing, storage and retrieval at the systems level. The study of brain systems includes the analysis of individual regions, as well as multiple levels and nodes of information processing. The journal will represent the full range of systems neuroscience research: from the analysis of pathways of information flow to neuronal circuits that transform simple inputs to complex outputs; short- and long-term changes in circuits that arise during activity-dependent development and plasticity; the dynamics of neuronal networks; and cognitive modules that are engaged in specific tasks. Systems neuroscience relies on a variety of approaches, spanning studies of single-cell responses in alert primates to cellular analyses of reduced preparations that leave intact key elements of computation. Recent advances in high-resolution imaging of brain activity and structure at network, cellular and sub-cellular levels, along with the application of molecular tools, have begun to transform systems neuroscience. Our journal also admits computational studies that complement experiments to better understand the emergent transformations in brain systems. We also encourage studies with multiple analysis approaches in order to better understand brain function during multiple form and time scales of information processing – in the normal and diseased brain and in any species.

《系统神经科学前沿》是一本开放获取的期刊，致力于理解大脑的整个系统，比如那些涉及感觉、运动、学习和记忆、注意力、奖励、决策、推理、执行功能和情感的系统。本课程的目标是研究大脑系统的结构和功能架构，以及系统级的信息处理、存储和检索原理。对大脑系统的研究包括对单个区域的分析，以及对信息处理的多层次和节点的分析。该杂志将代表整个系统神经科学研究领域:从信息流路径分析到将简单输入转换为复杂输出的神经元回路;在依赖于活动的发育和可塑性过程中出现的电路的短期和长期变化;神经元网络动力学;以及从事特定任务的认知模块。系统神经科学依赖于多种方法，包括对警惕灵长类动物单细胞反应的研究，以及对保留完整计算关键元素的准备减少的细胞分析。在网络、细胞和亚细胞水平上对大脑活动和结构的高分辨率成像的最新进展，以及分子工具的应用，已经开始改变系统神经科学。我们的杂志也承认计算机研究补充实验，以更好地理解大脑系统的突发变化。我们还鼓励使用多种分析方法进行研究，以便更好地了解大脑在信息处理的多种形式和时间尺度中的功能——在正常和患病的大脑中，以及在任何物种中。