What is it about?
Creating connections between seemingly unrelated ideas in a meaningful way using HNN to simulate creative thinking.
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Why is it important?
The hopfield neural network is widely recognized for its biological plausibility in storing and retrieving information, particularly neuronal patterns.
Perspectives
We successfully introduced a neurocomputational framework model (based on both a binary and a modern HNN) for creativity-based semantic associations for the first time. This could be an analog of creative thinking based on semantic associations, allowing us to search on the lower levels of memories to find which concepts relate even on a micro-level. The advantage of retrieving the memorized items seamlessly rather than searching the entire network and comparing the input with all the patterns to find a solution.
Dr Radwa Khalil
Read the Original
This page is a summary of: Reconstructing creative thoughts: Hopfield neural networks, Neurocomputing, January 2024, Elsevier,
DOI: 10.1016/j.neucom.2024.127324.
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