Dunin-Barkowski Witali L, Sirota Mikhail G, Lovering Andrew T, Orem John M, Vidruk Edward H, Beloozerova Irina N
Information Transmission Problems Institute, Moscow 127994, Russia.
Behav Brain Res. 2006 Nov 25;175(1):27-42. doi: 10.1016/j.bbr.2006.07.028. Epub 2006 Sep 7.
Rhythmic discharges of neurons are believed to be involved in information processing in both sensory and motor systems. However their fine structure and functional role need further elucidation. We employed a pattern-based approach to search for episodes of precisely rhythmic activity of single neurons recorded in different brain structures in behaving cats and rabbits. We defined discharge patterns using an algorithmic description, which is different from the previously suggested template methods. We detected episodes of precisely rhythmic discharges, specifically, triads of constant (precision +/-2.5%) inter-spike intervals in the 10-70 ms range. In 54% (67/125) of neurons tested, these patterns could not be explained by random occurrences or by steady or slowly changing input. Rhythmic patterns occurred at a wide range of inter-spike intervals, and were imbedded in non-rhythmic activity. In many neurons, timing of these precisely rhythmic patterns was related to different locomotion tasks or to respiration.
神经元的节律性放电被认为参与了感觉和运动系统的信息处理。然而，它们的精细结构和功能作用仍需进一步阐明。我们采用了一种基于模式的方法，来搜索在行为猫和兔子的不同脑结构中记录的单个神经元的精确节律活动片段。我们使用一种算法描述来定义放电模式，这与之前提出的模板方法不同。我们检测到了精确节律性放电的片段，具体来说，是在10 - 70毫秒范围内具有恒定（精度±2.5%）峰峰间期的三联体。在54%（67/125）的测试神经元中，这些模式无法用随机发生、稳定或缓慢变化的输入来解释。节律性模式出现在广泛的峰峰间期范围内，并嵌入在非节律性活动中。在许多神经元中，这些精确节律模式的时间与不同的运动任务或呼吸有关。
