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New dataset STSBench advances modeling of primate visual cortex dorsal stream

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Researchers have introduced STSBench, a new large-scale dataset designed to advance the modeling of neuronal activity within the dorsal stream of the primate visual cortex. This dataset comprises recordings from over 2,000 neurons in the superior temporal sulcus, significantly expanding upon previous dorsal stream datasets. STSBench aims to facilitate the benchmarking of encoding models for dorsal stream responses and enable the reconstruction of visual input from neural activity, addressing a gap in current research where convolutional neural networks have been more effectively applied to the ventral stream. AI

RANK_REASON The item describes a new dataset for research in neuroscience, specifically for modeling neuronal activity. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.CV →

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New dataset STSBench advances modeling of primate visual cortex dorsal stream

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The item describes a new dataset for research in neuroscience, specifically for modeling neuronal activity. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Ethan B. Trepka, Ruobing Xia, Shude Zhu, Sharif Saleki, Danielle Abreu Lopes, Stephen J. Ni\~no Cital, Konstantin F. Willeke, Mindy Kim, Tirin Moore ·

    STSBench: A Large-Scale Dataset for Modeling Neuronal Activity in the Dorsal Stream of Primate Visual Cortex

    arXiv:2607.15631v1 Announce Type: cross Abstract: The primate visual system is typically divided into two streams - the ventral stream, responsible for object recognition, and the dorsal stream, responsible for encoding spatial relations and motion. Recent studies have shown that…

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