Triple-N Dataset: Non-human Primate Neural Responses to Natural Scenes | bioRxiv

Understanding the neural mechanisms of visual perception requires data that encompass both large-scale cortical activity and the fine-grained dynamics of individual neurons. While the Natural Scenes Dataset (NSD) has provided substantial insights into visual processing in humans (Allen et al., 2022), its reliance on functional magnetic resonance imaging (fMRI) limits the exploration of individual neuron contributions. To bridge this gap, we present a new dataset: the Triple-N (Non-human Primate Neural Responses to Natural Scenes) dataset, which extends the NSD framework to non-human primates, incorporating single-neuron activity and fMRI recorded from the inferotemporal (IT) cortex. Using Neuropixels probes, we recorded neural responses from five macaques as they passively viewed 1,000 shared NSD images. The dataset includes 59 sessions across 27 sub-regions, capturing over 30,000 visual responsive units. Many recordings were obtained from fMRI-defined category-selective regions, such

Triple-N Dataset: Non-human Primate Neural Responses to Natural Scenes | bioRxiv Skip to main content New Results Triple-N Dataset: Non-human Primate Neural Responses to Natural Scenes Yipeng Li , Wei Jin , Jia Yang , Wanru Li , Baoqi Gong , Xieyi Liu , Zhengxin Gong , Kesheng Wang , Zishuo Zhao , Jingqiu Luo , Pinglei Bao doi: https://doi.org/10.1101/2025.05.06.652408 Yipeng Li 1 Peking-Tsinghua Center for Life Sciences, Peking University , Beijing 100871, China Find this author on Google Scholar Find this author on PubMed Search for this author on this site Wei Jin 1 Peking-Tsinghua Center f

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