Rishi Rajalingham

The paper tests the hypothesis that mental simulations underlie physical inferences by analyzing neural activity in monkeys during a ball interception task, finding a low-dimensional neural embedding that tracks the ball's position.

The paper develops a chronically implantable LED array for optogenetic perturbation in non-human primates and demonstrates its effectiveness in inducing visual deficits.

This study compares human and monkey behavior in a ball interception task with RNN models to test if mental simulation aids physical inference.

The paper investigates neuronal representations of letters and letter strings in macaque monkeys and shows that IT cortex can support orthographic processing tasks similar to baboon behavior.

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.

This study inactivates specific IT regions in primates to show that different sub-regions contribute uniquely to object recognition, with deficits correlating to neuronal discriminability and anatomical proximity.

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.