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Martina Ferrazza1, Giorgio Gosti2, Edoardo Milanetti3

  • 1International School of Advanced Studies, University of Camerino, Camerino, Italy; DNISC and ITAB, 'G. D'Annunzio' University of Chieti-Pescara, Chieti, Italy; Center for Life Nano- and Neuro-Science, Istituto Italiano di Tecnologia, Rome, Italy.

概括

循环霍普菲尔德质量模型 (RHoMM) 从MEG数据有效估计大脑连接. 在没有正常化的情况下优化RHoMM可以提高大规模网络分析的可扩展性和准确性.

相关概念视频

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