SimCLR ResNet-18 checkpoints trained on Visual Experience Dataset (VEDB) imagery under four conditions, isolating central vs. peripheral visual field
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Dylan Matthew Diaz
DM-Diaz
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AI & ML interests
Cognitive Computational Neuroscience, Visual Perception, Cognitive Control, Working Memory, Computational Models of Cognition
Recent Activity
updated a model about 3 hours ago
DM-Diaz/SimCLR-ResNet18-ImageNet100 updated a model about 3 hours ago
DM-Diaz/SimCLR-ResNet18-ImageNet1K updated a model about 3 hours ago
DM-Diaz/VEDB-NSD-ResNet18-Encoding-ModelsOrganizations
models 7
DM-Diaz/SimCLR-ResNet18-ImageNet100
Updated • 29
DM-Diaz/SimCLR-ResNet18-ImageNet1K
Updated • 34
DM-Diaz/VEDB-NSD-ResNet18-Encoding-Models
Updated • 70
DM-Diaz/VEDB-SimCLR-ResNet18-Periph-NF
Updated • 22
DM-Diaz/VEDB-SimCLR-ResNet18-Periph
Updated • 24
DM-Diaz/VEDB-SimCLR-ResNet18-Fovea-Gaze
Updated • 21
DM-Diaz/VEDB-SimCLR-ResNet18-Baseline
Updated • 25
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