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

新数据集STSBench推动灵长类动物视觉皮层背侧通路建模

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员推出STSBench，一个旨在推动灵长类动物视觉皮层背侧通路神经元活动建模的超大规模数据集。该数据集包含来自上颞沟区超过2000个神经元的记录，显著扩展了以往的背侧通路数据集。STSBench旨在促进对背侧通路反应的编码模型的基准测试，并实现从神经活动中重建视觉输入，填补了当前卷积神经网络在腹侧通路应用更有效的研究空白。 AI

排序理由 该条目描述了一个用于神经科学研究的新数据集，特别是用于模拟神经元活动。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.CV 阅读 →

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新数据集STSBench推动灵长类动物视觉皮层背侧通路建模

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该条目描述了一个用于神经科学研究的新数据集，特别是用于模拟神经元活动。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [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：用于模拟灵长类视觉皮层背侧通路神经元活动的超大规模数据集

    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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