A spiking network model for clustering report in a visual working memory task

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SUMMARY

    It has been observed that the reports of the memorized color sampled from a uniform distribution are clustered, and the report error for the stimulus follows a Gaussian distribution. As a result, the model reproduced the clustering report given stimuli sampled from a uniform distribution and the error of the report following a Gaussian distribution. Precision fades, and errors arise in WM over time (Shintaro et_al, 1989; Weiwei and Luck, 2009; Hyeyoung et_al, 2017; Rosanne et_al, 2019). The continuous attractor models (Albert et_al, 2000; Klaus et_al, 2014; Sebastian and Bays, 2018) have shown the . . .

     

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