2026
Real-World Unsupervised Models Generalize to Predict Brain Responses to Out-of-Distribution Stimuli
ICML 2026spotlight
Deep neural networks currently provide the leading quantitative models of neural responses in sensory systems. However, these networks remain implausible as models of sensory development, largely because they rely on supervised training with label efficiency far exceeding that of biological learning…