Research
1) A computational account of topography in the occipitotemporal cortex via domain-general pressures:
Collaborators: Talia Konkle
Doshi, F. R., & Konkle, T. (2023). Cortical topographic motifs emerge in a self-organized map of object space. Science Advances, 9(25), eade8187. link to paper
Doshi, F. R., & Konkle, T. (2023). Face-deprived networks show distributed but not clustered face-selective maps. Journal of Vision, 23(9), 5435-5435. link
Doshi, F., & Konkle, T. (2021). Organizational motifs of cortical responses to objects emerge in topographic projections of deep neural networks. Journal of Vision, 21(9), 2226-2226. link
Talk presented at the Vision Sciences Society 2021 Conference
2) Mechanisms of Contour Integration in Humans and Machines:
Collaborators: Talia Konkle and George Alvarez
Doshi, F. R., Konkle, T., & Alvarez, G.A. (2023). Feedforward Neural Networks can capture Human-like Perceptual and Behavioral Signatures of Contour Integration. In Cognitive Computational Neuroscience (CCN), 2023. pdf
Doshi, F., Konkle, T., & Alvarez, G.A. (2022). Human-like signatures of contour integration in deep neural networks. link
Talk presented at the Vision Sciences Society 2022 Conference
3) Perceptual features as optimal proxies for intuitive physical reasoning:
Collaborators: Colin Conwell and George Alvarez
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
4) Capacity limits in visual working memory:
Collaborators: Hrag Pailian and George Alvarez
- Doshi, F., Pailian, H., & Alvarez, G. A. (2020). Using Deep Convolutional Neural Networks to Examine the Role of Representational Similarity in Visual Working Memory. Journal of Vision, 20(11), 149-149.link
Also check out Hrag’s talk here!