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The research aims to explore how a neural network can model human concept formation and understanding through a computational framework.

A neural network for modeling human concept formation, understanding and communication

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The research aims to explore how a neural network can model human concept formation and understanding through a computational framework.
Developed a dual-module neural network called CATS Net.
Implemented a concept-abstraction module for low-dimensional conceptual representations.
Created a task-solving module to perform visual judgment tasks and manage hierarchical control using concepts.
The model's concept spaces align with neurocognitive semantic models and brain response in the ventral occipitotemporal cortex.
Gating mechanisms in the model reflect those in the human semantic-control brain network.

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A dual-module neural network demonstrates human-like concept formation and communication abilities, suggesting new insights into cognition.

Guo et al. (2026) studied this question.

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A dual-module neural network demonstrates human-like concept formation and communication abilities, suggesting new insights into cognition.