Yamins, Daniel L. K.

Performance-optimized hierarchical models predict neural responses in higher visual cortex

Yamins, D. L. K., Hong, H., Cadieu, C. F., Solomon, E. A., Seibert, D., & DiCarlo, J. J. (2014) · Proceedings of the National Academy of Sciences

Visual perception and processing mechanismsAdvanced Neural Network Applications

Cited by 1,924

Using goal-driven deep learning models to understand sensory cortex

Yamins, D. L. K., & DiCarlo, J. J. (2016) · Nature Neuroscience

Visual perception and processing mechanismsAdvanced Neural Network Applications

Cited by 1,621

A deep learning framework for neuroscience

Richards, B. A., Lillicrap, T. P., Beaudoin, P., Bengio, Y., Bogacz, R., Christensen, A., Clopath, C., Costa, R. P., de Berker, A., Ganguli, S., et al. (2019) · Nature Neuroscience

Neural Networks and ApplicationsNeural dynamics and brain function

Cited by 1,027

Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition

Cadieu, C. F., Hong, H., Yamins, D. L. K., Pinto, N., Ardila, D., Solomon, E. A., Majaj, N. J., & DiCarlo, J. J. (2014) · PLoS Computational Biology

Visual perception and processing mechanismsAdvanced Neural Network Applications

Cited by 824

A Task-Optimized Neural Network Replicates Human Auditory Behavior, Predicts Brain Responses, and Reveals a Cortical Processing Hierarchy

Kell, A. J. E., Yamins, D. L. K., Shook, E. N., Norman-Haignere, S. V., & McDermott, J. H. (2018) · Neuron

Neuroscience and Music PerceptionMusic and Audio Processing

Cited by 544

The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI

Gan, C., Zhou, S., Schwartz, J., Alter, S., Bhandwaldar, A., Gutfreund, D., Yamins, D. L. K., DiCarlo, J. J., McDermott, J., Torralba, A., et al. (2021) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 13