Using Interactive Neural-Symbolic Models to Test Hypotheses of Human Event Cognition
PhD thesis, 2023
Toward a More Biologically Plausible Neural Network Model of Latent Cause Inference.
CoRR, 2023
BrainIAK tutorials: User-friendly learning materials for advanced fMRI analysis.
PLoS Comput. Biol., 2020
Learning to Apply Schematic Knowledge to Novel Instances.
CoRR, 2019
Shared Representational Geometry Across Neural Networks.
CoRR, 2018
Measuring representational similarity across neural networks.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018
An interactive model accounts for both ultra-rapid superordinate classification and basic-level advantage in object recognition.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016