《系統(tǒng)神經(jīng)科學(xué)前沿》是一本開放獲取的期刊，致力于理解大腦的整個(gè)系統(tǒng)，比如那些涉及感覺(jué)、運(yùn)動(dòng)、學(xué)習(xí)和記憶、注意力、獎(jiǎng)勵(lì)、決策、推理、執(zhí)行功能和情感的系統(tǒng)。本課程的目標(biāo)是研究大腦系統(tǒng)的結(jié)構(gòu)和功能架構(gòu)，以及系統(tǒng)級(jí)的信息處理、存儲(chǔ)和檢索原理。對(duì)大腦系統(tǒng)的研究包括對(duì)單個(gè)區(qū)域的分析，以及對(duì)信息處理的多層次和節(jié)點(diǎn)的分析。該雜志將代表整個(gè)系統(tǒng)神經(jīng)科學(xué)研究領(lǐng)域:從信息流路徑分析到將簡(jiǎn)單輸入轉(zhuǎn)換為復(fù)雜輸出的神經(jīng)元回路;在依賴于活動(dòng)的發(fā)育和可塑性過(guò)程中出現(xiàn)的電路的短期和長(zhǎng)期變化;神經(jīng)元網(wǎng)絡(luò)動(dòng)力學(xué);以及從事特定任務(wù)的認(rèn)知模塊。系統(tǒng)神經(jīng)科學(xué)依賴于多種方法，包括對(duì)警惕靈長(zhǎng)類動(dòng)物單細(xì)胞反應(yīng)的研究，以及對(duì)保留完整計(jì)算關(guān)鍵元素的準(zhǔn)備減少的細(xì)胞分析。在網(wǎng)絡(luò)、細(xì)胞和亞細(xì)胞水平上對(duì)大腦活動(dòng)和結(jié)構(gòu)的高分辨率成像的最新進(jìn)展，以及分子工具的應(yīng)用，已經(jīng)開始改變系統(tǒng)神經(jīng)科學(xué)。我們的雜志也承認(rèn)計(jì)算機(jī)研究補(bǔ)充實(shí)驗(yàn)，以更好地理解大腦系統(tǒng)的突發(fā)變化。我們還鼓勵(lì)使用多種分析方法進(jìn)行研究，以便更好地了解大腦在信息處理的多種形式和時(shí)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.