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Updated: Jan 8, 2026

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
Published on: March 10, 2011
SPINI: un integrador neuronal que preserva la estructura para la dinámica hamiltoniana y la perturbación paramétrica
Chengtian Liang1, Xintong Wen2, Zhaoyu Zhu2
1School of Physics, Hangzhou Normal University, Hangzhou, 311121, Zhejiang, China. lct.lctsoft@hotmail.com.
Este estudio presenta un nuevo integrador sinfínico informado por la física de redes neuronales (SPINI) para simular sistemas hamiltonianos no lineales. SPINI preserva con precisión la estructura geométrica y mejora la fidelidad de la simulación a largo plazo, superando las limitaciones de los solucionadores numéricos estándar.
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