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Topic: neural predictivity

ePoster
1 ePoster

In Neuroscience

ePoster · Neuroscience

Contrastive-Equivariant self-supervised learning improves alignment with primate visual area IT

Thomas Yerxa, Jenelle Feather, Eero Simoncelli, SueYeon Chung · COSYNE 2025

Task-trained deep neural networks have emerged as leading models of neural responses in the primate visual system, especially for later stages of the ventral stream such as inferotemporal (IT) cortex. One major criticism of this approach is that the tasks used to train such networks rely on large numbers of labeled examples, and are thus not ecologically plausible. Recent approaches in representation learning circumvent the need for labeled examples, and match or surpass supervised learning methods on a variety of tasks. These approaches generally rely on supervision signals extracted from the