Kailyn Schmidt

Monolithic Shape-Shifting Absorbable Implants for Long-Term Contraception

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

Brain-Score: Which Artificial Neural Network for Object Recognition is most Brain-Like?

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.

Evidence that recurrent circuits are critical to the ventral stream’s execution of core object recognition behavior

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.

Large-scale, high-resolution comparison of the core visual object recognition behavior of humans, monkeys, and state-of-the-art deep artificial neural networks

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.