《系統神經科學前沿》是一本開放獲取的期刊，致力于理解大腦的整個系統，比如那些涉及感覺、運動、學習和記憶、注意力、獎勵、決策、推理、執行功能和情感的系統。本課程的目標是研究大腦系統的結構和功能架構，以及系統級的信息處理、存儲和檢索原理。對大腦系統的研究包括對單個區域的分析，以及對信息處理的多層次和節點的分析。該雜志將代表整個系統神經科學研究領域:從信息流路徑分析到將簡單輸入轉換為復雜輸出的神經元回路;在依賴于活動的發育和可塑性過程中出現的電路的短期和長期變化;神經元網絡動力學;以及從事特定任務的認知模塊。系統神經科學依賴于多種方法，包括對警惕靈長類動物單細胞反應的研究，以及對保留完整計算關鍵元素的準備減少的細胞分析。在網絡、細胞和亞細胞水平上對大腦活動和結構的高分辨率成像的最新進展，以及分子工具的應用，已經開始改變系統神經科學。我們的雜志也承認計算機研究補充實驗，以更好地理解大腦系統的突發變化。我們還鼓勵使用多種分析方法進行研究，以便更好地了解大腦在信息處理的多種形式和時間尺度中的功能——在正常和患病的大腦中，以及在任何物種中。

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.