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.+In+this+study%252C+we+implemented+a+comprehensive+visual+decision-making+model+that+spans+from+visual+input+to+behavioral+output%252C+using+a+neural+dynamics+modeling+approach.+Drawing+inspiration+from+the+key+components+of+the+dorsal+visual+pathway+in+primates%252C+our+model+not+only+aligns+closely+with+human+behavior+but+also+reflects+neural+activities+in+primates%252C+and+achieving+accuracy+comparable+to+convolutional+neural+networks+(CNNs).+Moreover%252C+magnetic+resonance+imaging+(MRI)+identified+key+neuroimaging+features+such+as+structural+connections+and+functional+connectivity+that+are+associated+with+performance+in+perceptual+decision-making+tasks.+A+neuroimaging-informed+fine-tuning+approach+was+introduced+and+applied+to+the+model%252C+leading+to+performance+improvements+that+paralleled+the+behavioral+variations+observed+among+subjects.+Compared+to+classical+deep+learning+models%252C+our+model+more+accurately+replicates+the+behavioral+performance+of+biological+intelligence%252C+relying+on+the+structural+characteristics+of+biological+neural+networks+rather+than+extensive+training+data%252C+and+demonstrating+enhanced+resilience+to+perturbation.&cdnurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.4f0d90d3d15c6376c951196e0fa5f9f6%3frik%3dG4ykxKExaFTFFw%26pid%3dImgRaw%26r%3d0&exph=630&expw=1200&q=Decision-Making+Neural+Dynamics&FORM=IRPRST&ck=4F7E0DA03E07ED97C451EC364A9FD8A5&selectedIndex=1&itb=0)
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