A template of rat brain based on fMRI T_2~* imaging

Thedevelopmentofnoninvasivefunctionalneu roimagingmethodshasmadeitpossibletoinvestigatelarge scaleactivationpatternsofbrain.FMRI,arep resentativeinhemodynamictechniques,hasbeen usedextensivelyinthestudiesofthephysiology,pathologyandpsychologyofbrains[1—3],foritslessinvasiveproperty,superiorresolution,andlowercost comparedtoPETtechniques.Itisimportanttopointoutthatcommonimage analysissoftwaressuchasstatisticalparametricmap ping(SPM),analysesoffunctionalneuroimages(AFNI),createdatabydoinga…     

Big data analysis of the human brain’s functional interactions based on fMRI

The human brain is a huge, complex system generating brain activity. The exploration of human brain function using functional magnetic resonance imaging （fMRI） is a promising method to understand brain activity. However, the complexity of the big data generated by fMRI facilitates the analysis of various levels of human brain activity, such as the distribution of neural represen- tations, the interaction between different regions, and the dynamic interaction over time. These different levels can depict distinct prospects of the human brain activity, and considerable progress has been achieved. In the future, more big data analysis methods combining advances in computer science, including larger-scale computing, machine learning, and graph theory, will promote the understanding of the human brain.     

包含式完全正则(T*3(1/2))是相对可乘的

本文讨论包含式完全正则空间（T31/2^＊）关于相对积拓扑的可乘性问题．