Ichiro Fujita

The paper investigates how population coding in the brain supports depth perception under ambiguous binocular inputs, finding that representations in V3A align with human perception better than correlation-based models.

The paper investigates how the human brain transforms binocular disparity representations from cross-correlation to cross-matching across visual areas using fMRI and a deep neural network.

The paper develops a mosaic AAV vector that achieves high transgene expression and neuron specificity in primate brains, enabling effective chemogenetic manipulation and calcium imaging.

The paper analyzes convolutional neural networks to identify computational properties essential for subcortical facial expression processing and finds that these properties constrain accuracy and SF representation.

The paper compares how MT and V4 neurons in monkeys process binocular disparity, finding a tradeoff between signaling speed and computational complexity based on disparity tuning shape.

This study links microstructural properties of the vertical occipital fasciculus to variability in human stereoacuity using diffusion and quantitative MRI.

The paper identifies rapid, emotion-selective responses in monkey amygdala neurons to facial expressions within 50 ms, suggesting a subcortical pathway's role in threat detection.