Phase resetting and phase locking in hybrid circuits of one model and one biological neuron
Phase resetting and phase locking in hybrid circuits of one model and one biological neuron
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DOI：
10.1529/biophysj.104.046193
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发表时间：
2004-10-01
影响因子：
3.4
通讯作者：
Canavier, CC
中科院分区：
文献类型：
--
作者：
Oprisan, SA;Prinz, AA;Canavier, CC
为了确定为什么中央模式发生器的元件在某些条件下而不是其他条件下锁相在特定模式中，我们测试了理论模式预测方法。该方法是基于列表的开环脉冲相互作用的爆发神经元上的一个周期一个周期的基础上，并进行了测试，在闭环混合电路组成的一个爆发生物神经元和一个爆发模型神经元耦合使用动态钳。通过改变突触电导，共形成了164个混合网络。预测1：1锁相同意定性与实验观察，除了在三个混合电路中，1：1锁定预测，但没有观察到。正确的预测有时需要考虑二阶相位重置，其测量扰动后第二个突发的定时变化。该方法对突触前神经元中爆发的起始和与突触后神经元的突触耦合的激活之间的偏移是鲁棒的。的定量准确性的预测落在实验观察到的固有周期和相位重置曲线（PRC）的变化（10%），尽管在开环和闭环条件之间的神经元的突发持续时间的变化。
To determine why elements of central pattern generators phase lock in a particular pattern under some conditions but not others, we tested a theoretical pattern prediction method. The method is based on the tabulated open loop pulsatile interactions of bursting neurons on a cycle-by-cycle basis and was tested in closed loop hybrid circuits composed of one bursting biological neuron and one bursting model neuron coupled using the dynamic clamp. A total of 164 hybrid networks were formed by varying the synaptic conductances. The prediction of 1: 1 phase locking agreed qualitatively with the experimental observations, except in three hybrid circuits in which 1: 1 locking was predicted but not observed. Correct predictions sometimes required consideration of the second order phase resetting, which measures the change in the timing of the second burst after the perturbation. The method was robust to offsets between the initiation of bursting in the presynaptic neuron and the activation of the synaptic coupling with the postsynaptic neuron. The quantitative accuracy of the predictions fell within the variability (10%) in the experimentally observed intrinsic period and phase resetting curve (PRC), despite changes in the burst duration of the neurons between open and closed loop conditions.