A computational account of topography in the occipitotemporal cortex:
Collaborators: Talia Konkle
Here’s a talk on this project, presented at the Vision Sciences Society 2021 Conference
Does human vision directly leverage perceptual features as optimal proxies for intuitive physical reasoning?
Conwell, C., Doshi, F., Alvarez, G.A.(2019). Shared Representations of Stability in Humans, Supervised, & Unsupervised Neural Networks. In Shared Visual Representations in Human and Machine Intelligence. SVRHM workshop at NeurIPS 2019. pdf
Conwell, C., Doshi, F., Alvarez, G.A.(2019). Human-Like Judgments of Stability Emerge from Purely Perceptual Features: Evidence from Supervised and Unsupervised Deep Neural Networks. In Proceedings of the 3rd Conference on Cognitive Computational Neuroscience (CCN), 2019. pdf
What representations explain capacity limits in visual working memory?
- Doshi, F., Pailian, H., Alvarez, G.A.(2020). Using Deep Convolutional Neural Networks to Examine the Role of Representational Similarity in Visual Working Memory. In Vision Science Society, 2020. link
Also check out Hrag’s talk here!