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Dissertation: “A Solution to the Multimodal Binding Problem

Peer-reviewed Publications

1. Li, A. Y., & Mur, M. (Accepted). Neural networks need real-world behavior. [Invited Commentary on “Deep problems with neural network models of human vision,” by Bowers et al]. Behavioral and Brain Sciences. Preprint: 

2. Li, A. Y.*, Yuan, J. Y.*, Pun, C., & Barense, M. D. (2023). The effect of memory load on object reconstruction: Insights from an online mouse-tracking task. Attention, Perception, & Psychophysics. *denotes equal contribution.

3. Li, A. Y., Fukuda, K., & Barense, M. D. (2022). Independent features form integrated objects: Using a novel shape-color “conjunction task” to reconstruct memory resolution for multiple object features simultaneously. Cognition, 223, 105024.

4. Li, A. Y. (2021). Object and Spatial Context Representations in Visual Short-Term Memory. eNeuro, 8(2), DOI: 10.1523/ENEURO.0076-21.2021

5. Sone, H., Kang, M.-S., Li, A. Y., Tsubomi, H., & Fukuda, K. (2021). Simultaneous estimation procedure reveals the object-based, but not space-based, dependence of visual working memory representations. Cognition, 209, 104579.

6. Li, A. Y., Liang, J. C., Lee, A. C. H., & Barense, M. D. (2020). The Validated Circular Shape Space: Quantifying the Visual Similarity of Shape. Journal of Experimental Psychology: General, 149(5), 949–966. doi: [pdf] [Supplemental] [Twitter]

      • We created the first perceptually uniform “Shape Wheel” whereby angular distance on a 2D circle is a proxy for visual similarity, comparable to the commonly used “color wheel”. All stimuli materials and a wiki is available on the Open Science Framework:

7. Li, A. Y., Fukuda, K., Lee, A. C. H., & Barense, M. D. (Revise and Resubmit). Visual interference can help and hinder memory: Capturing representational detail using the Validated Circular Shape Space. bioRxiv, 535922.

8. Li, A. Y., Ladyka-Wojcik, N., Qazilbash, H., Golestani, A., Walther, D. B., Martin, C. B., Barense, M. D. (Major Revisions at eLife). Multimodal object representations rely on integrative coding. doi:

9. Li, A. Y., & Barense, M. D. (in prep). Invited review at WIREs Cognitive Science.