MICViT outperforms CNN and transformer baselines on brain age prediction from multimodal 3D MRI by combining modality-specific and cross-modal local/global attention across three heterogeneous datasets.
Rodrigue, Kristen M
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UNVERDICTED 3representative citing papers
No correlation exists between CNNs' Brain-Score alignment with the visual system and the perceptual content of their Gram-matrix texture representations.
A novel MPI-based construction method for spiking neural networks on multi-GPU clusters is introduced, with scaling demonstrated on two cortical models using point-to-point and collective communication.
citing papers explorer
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Modeling Local, Global, and Cross-Modal Context in Multimodal 3D MRI
MICViT outperforms CNN and transformer baselines on brain age prediction from multimodal 3D MRI by combining modality-specific and cross-modal local/global attention across three heterogeneous datasets.
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Perceptual misalignment of texture representations in convolutional neural networks
No correlation exists between CNNs' Brain-Score alignment with the visual system and the perceptual content of their Gram-matrix texture representations.
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Scalable Construction of Spiking Neural Networks using up to thousands of GPUs
A novel MPI-based construction method for spiking neural networks on multi-GPU clusters is introduced, with scaling demonstrated on two cortical models using point-to-point and collective communication.