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A machine learning methodology for the selection and classification of spontaneous spinal cord dorsum potentials allows disclosure of structured (non-random) changes in neuronal connectivity induced by nociceptive stimulation

机译：用于选择和分类自发性脊髓背侧电位的机器学习方法允许公开由伤害性刺激诱导的神经元连接的结构化（非随机）变化。

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Mario eMartin; Enrique eContreras-Hernàndez; Javier eBéjar; Gennaro eEsposito; Diógenes eChávez; Silvio eGlusman; Ulises eCortés; Pablo eRudomin;
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年度 2015
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1. A machine learning methodology for the selection and classification of spontaneous spinal cord dorsum potentials allows disclosure of structured (non-random) changes in neuronal connectivity induced by nociceptive stimulation [J] . Mario Martin, Enrique Contreras-Hernández, Javier Béjar, Frontiers in Neuroinformatics . 2015,第1期

机译：一种用于选择和分类自发脊髓背侧电位的机器学习方法，可以揭示伤害性刺激引起的神经元连接性的结构性（非随机）变化
2. Markovian Analysis of the Sequential Behavior of the Spontaneous Spinal Cord Dorsum Potentials Induced by Acute Nociceptive Stimulation in the Anesthetized Cat [J] . Martin, Mario Frontiers in Computational Neuroscience . 2017,第3期

机译：麻醉猫急性伤害性刺激诱发自发脊髓背侧电位顺序行为的马尔可夫分析
3. Markovian Analysis of the Sequential Behavior of the Spontaneous Spinal Cord Dorsum Potentials Induced by Acute Nociceptive Stimulation in the Anesthetized Cat [J] . Mario Martin, Javier Béjar, Gennaro Esposito, Frontiers in Computational Neuroscience . 2017,第2期

机译：麻醉猫急性脊髓纤维刺激诱导的自发脊髓背体电位的顺序行为的Markovian分析
4. A machine learning methodology for the selection and classification of spontaneous spinal cord dorsum potentials allows disclosure of structured (non-random) changes in neuronal connectivity induced by nociceptive stimulation [O] . Mario Martin, Enrique Contreras-Hernández, Javier Béjar, 2015

机译：一种用于选择和分类自发脊髓背侧电位的机器学习方法可以揭示伤害性刺激引起的神经元连接性的结构性（非随机）变化
5. A machine learning methodology for the selection and classification of spontaneous spinal cord dorsum potentials allows disclosure of structured (non-random) changes in neuronal connectivity induced by nociceptive stimulation [O] . Mario Martin, Enrique Contreras-Hernández, Javier Béjar, 2015

机译：用于选择和分类自发性脊髓背侧电位的机器学习方法允许公开由伤害性刺激诱导的神经元连接的结构化（非随机）变化。

A machine learning methodology for the selection and classification of spontaneous spinal cord dorsum potentials allows disclosure of structured (non-random) changes in neuronal connectivity induced by nociceptive stimulation

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