Kailyn Schmidt

The paper develops a bioresorbable implant system for long-term contraception that improves drug delivery efficiency and reduces the need for surgical intervention.

Among dozens of ImageNet-trained networks scored against macaque V4/IT recordings and human behavior, DenseNet-169, CORnet-S and ResNet-101 rank highest, and brain similarity stops tracking accuracy above 70% top-1.

The paper shows that recurrent circuits in the primate ventral stream are critical for object recognition, as challenge images require longer processing and are poorly predicted by feedforward models.

This paper compares human, monkey, and deep neural network performance in object recognition at the image level, finding that current models fail to predict primate behavior.