Tensor network model achieves 77.98% accuracy in modeling order-dependent emotional memory in children.
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A controlled benchmark for context-sensitive memory shows adaptive plasticity (especially homeostatic) enables recall under weak support, with quantum-like models preserving order sensitivity better than Markov controls but without universal advantage.
Quantum probability is the fixed-spacetime projection of contextual spacetime formation under finite-state requirements.
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Modelling Emotional Memory in Children with Tensor Networks
Tensor network model achieves 77.98% accuracy in modeling order-dependent emotional memory in children.