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Neuroelectric Tuning of Cortical Oscillations by Apical Dendrites in Loop Circuits

机译:环路中的顶端枝晶对皮层振荡的神经电调谐。

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Bundles of relatively long apical dendrites dominate the neurons that make up the thickness of the cerebral cortex. It is proposed that a major function of the apical dendrite is to produce sustained oscillations at a specific frequency that can serve as a common timing unit for the processing of information in circuits connected to that apical dendrite. Many layer 5 and 6 pyramidal neurons are connected to thalamic neurons in loop circuits. A model of the apical dendrites of these pyramidal neurons has been used to simulate the electric activity of the apical dendrite. The results of that simulation demonstrated that subthreshold electric pulses in these apical dendrites can be tuned to specific frequencies and also can be fine-tuned to narrow bandwidths of less than one Hertz (1 Hz). Synchronous pulse outputs from the circuit loops containing apical dendrites can tune subthreshold membrane oscillations of neurons they contact. When the pulse outputs are finely tuned, they function as a local “clock,” which enables the contacted neurons to synchronously communicate with each other. Thus, a shared tuning frequency can select neurons for membership in a circuit. Unlike layer 6 apical dendrites, layer 5 apical dendrites can produce burst firing in many of their neurons, which increases the amplitude of signals in the neurons they contact. This difference in amplitude of signals serves as basis of selecting a sub-circuit for specialized processing (e.g., sustained attention) within the typically larger layer 6-based circuit. After examining the sustaining of oscillations in loop circuits and the processing of spikes in network circuits, we propose that cortical functioning can be globally viewed as two systems: a loop system and a network system. The loop system oscillations influence the network system’s timing and amplitude of pulse signals, both of which can select circuits that are momentarily dominant in cortical activity.
机译:相对较长的顶端树突束占据了构成大脑皮层厚度的神经元。提出了根尖晶状体的主要功能是在特定频率上产生持续的振荡,该振荡可以用作用于连接到该根尖晶状体的电路中的信息处理的公共定时单元。许多5和6层锥体神经元在回路中连接到丘脑神经元。这些锥体神经元的顶端树突的模型已用于模拟顶端树突的电活动。该模拟的结果表明,可以将这些根尖状树突中的亚阈值电脉冲调谐到特定频率,并且还可以将其微调到小于1赫兹(1 Hz)的窄带宽。来自包含顶端树突的电路回路的同步脉冲输出可以调节其接触的神经元的亚阈值膜振动。当对脉冲输出进行微调时,它们将充当本地“时钟”,使所接触的神经元彼此同步通信。因此,共享的调谐频率可以选择神经元作为电路的成员。与第6层顶端树突不同,第5层顶端树突可在其许多神经元中产生爆发放电,从而增加了它们接触的神经元中信号的幅度。信号幅度的这种差异用作在典型的基于第6层的较大电路中选择用于专门处理(例如,持续关注)的子电路的基础。在研究了环路电路中振荡的维持和网络电路中尖峰的处理之后,我们提出皮质功能可以被整体视为两个系统:环路系统和网络系统。环路系统的振荡会影响网络系统的脉冲信号的时序和幅度,这两者都可以选择暂时在皮质活动中占主导地位的电路。

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