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+signals.+Existing+studies+often+rely+on+domain-specific+time-frequency+features+and+analyze+temporal+dependencies+and+spatial+characteristics+separately%252C+neglecting+the+interaction+between+local-global+relationships+and+spatiotemporal+dynamics.+To+address+this%252C+we+propose+a+novel+network+called+Multi-Scale+Inverted+Mamba+(MS-iMamba)%252C+which+consists+of+Multi-Scale+Temporal+Blocks+(MSTB)+and+Temporal-Spatial+Fusion+Blocks+(TSFB).+Specifically%252C+MSTBs+are+designed+to+capture+both+local+details+and+global+temporal+dependencies+across+different+scale+subsequences.+The+TSFBs%252C+implemented+with+an+inverted+Mamba+structure%252C+focus+on+the+interaction+between+dynamic+temporal+dependencies+and+spatial+characteristics.+The+primary+advantage+of+MS-iMamba+lies+in+its+ability+to+leverage+reconstructed+multi-scale+EEG+sequences%252C+exploiting+the+interaction+between+temporal+and+spatial+features+without+the+need+for+domain-specific+time-frequency+feature+extraction.+Experimental+results+on+the+DEAP%252C+DREAMER%252C+and+SEED+datasets+demonstrate+that+MS-iMamba+achieves+classification+accuracies+of+94.86%2525%252C+94.94%2525%252C+and+91.36%2525%252C+respectively%252C+using+only+four-channel+EEG+signals%252C+outperforming+state-of-the-art+methods.&cdnurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.d1196bee3a8c1ca1ebee9bc9060e9a67%3frik%3dFy%252b3AgX%252fDs72RQ%26pid%3dImgRaw%26r%3d0&exph=630&expw=1200&q=Spatial+Resolution+in+EEG&FORM=IRPRST&ck=F7069B5207BA1F20BA2C6E9EBC5299CF&selectedIndex=29&itb=0)
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