Suppr超能文献

抗相关的皮质网络源于慢时间尺度上自发的神经元动力学。

Anti-correlated cortical networks arise from spontaneous neuronal dynamics at slow timescales.

机构信息

Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, Ohio, 44106, USA.

Department of Biology, Case Western Reserve University, Cleveland, Ohio, 44106, USA.

出版信息

Sci Rep. 2018 Jan 12;8(1):666. doi: 10.1038/s41598-017-18097-0.

Abstract

In the highly interconnected architectures of the cerebral cortex, recurrent intracortical loops disproportionately outnumber thalamo-cortical inputs. These networks are also capable of generating neuronal activity without feedforward sensory drive. It is unknown, however, what spatiotemporal patterns may be solely attributed to intrinsic connections of the local cortical network. Using high-density microelectrode arrays, here we show that in the isolated, primary somatosensory cortex of mice, neuronal firing fluctuates on timescales from milliseconds to tens of seconds. Slower firing fluctuations reveal two spatially distinct neuronal ensembles, which correspond to superficial and deeper layers. These ensembles are anti-correlated: when one fires more, the other fires less and vice versa. This interplay is clearest at timescales of several seconds and is therefore consistent with shifts between active sensing and anticipatory behavioral states in mice.

摘要

在大脑皮层高度互联的结构中,皮层内的回环比丘脑皮质输入不成比例地多。这些网络也能够在没有前馈感觉驱动的情况下产生神经元活动。然而,尚不清楚哪些时空模式可能仅归因于局部皮层网络的内在连接。使用高密度微电极阵列,我们在这里显示,在离体的小鼠初级体感皮层中,神经元的放电在毫秒到几十秒的时间尺度上波动。较慢的放电波动揭示了两个在空间上不同的神经元集合,它们对应于浅层和深层。这些集合是反相关的:当一个集合放电更多时,另一个集合放电更少,反之亦然。这种相互作用在几秒钟的时间尺度上最为明显,因此与小鼠在主动感知和预期行为状态之间的转变一致。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c015/5766587/a30671f4ea71/41598_2017_18097_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验