Latorre Roberto, Rodríguez Francisco B, Varona Pablo
Grupo de Neurocomputación Biológica (GNB), Departamento de Ingeniería Informática, Escuela Politécnica Superior, Universidad Autónoma de Madrid, 28049, Madrid, Spain.
Biol Cybern. 2006 Aug;95(2):169-83. doi: 10.1007/s00422-006-0077-5. Epub 2006 Jun 21.
Recent experiments have revealed the existence of neural signatures in the activity of individual cells of the pyloric central pattern generator (CPG) of crustacean. The neural signatures consist of cell-specific spike timings in the bursting activity of the neurons. The role of these intraburst neural fingerprints is still unclear. It has been reported previously that some muscles can reflect small changes in the spike timings of the neurons that innervate them. However, it is unclear to what extent neural signatures contribute to the command message that the muscles receive from the motoneurons. It is also unknown whether the signatures have any functional meaning for the neurons that belong to the same CPG or to other interconnected CPGs. In this paper, we use realistic neural models to study the ability of single cells and small circuits to recognize individual neural signatures. We show that model cells and circuits can respond distinctly to the incoming neural fingerprints in addition to the properties of the slow depolarizing waves. Our results suggest that neural signatures can be a general mechanism of spiking-bursting cells to implement multicoding.
最近的实验揭示了甲壳类动物幽门中央模式发生器（CPG）单个细胞活动中神经特征的存在。这些神经特征由神经元爆发活动中细胞特异性的尖峰时间组成。这些爆发内神经指纹图谱的作用仍不清楚。此前有报道称，一些肌肉能够反映支配它们的神经元尖峰时间的微小变化。然而，尚不清楚神经特征在多大程度上有助于肌肉从运动神经元接收的指令信息。同样未知的是，这些特征对于属于同一CPG或其他相互连接的CPG的神经元是否具有任何功能意义。在本文中，我们使用逼真的神经模型来研究单个细胞和小电路识别单个神经特征的能力。我们表明，除了慢去极化波的特性外，模型细胞和电路能够对传入的神经指纹做出明显反应。我们的结果表明，神经特征可能是发放-爆发细胞实现多编码的一种普遍机制。
