Ogawa Hiroto, Cummins Graham I, Jacobs Gwen A, Oka Kotaro
Department of Biology, Faculty of Medicine, Saitama Medical University, Saitama 350-0496, Japan.
J Neurosci. 2008 Apr 30;28(18):4592-603. doi: 10.1523/JNEUROSCI.5354-07.2008.
While sensory information is encoded by firing patterns of individual sensory neurons, it is also represented by spatiotemporal patterns of activity in populations of the neurons. Postsynaptic interneurons decode the population response and extract specific sensory information. This extraction of information represented by presynaptic activities is a process critical to defining the input-output function of postsynaptic neuron. To understand the "algorithm" for the extraction, we examined directional sensitivities of presynaptic and postsynaptic Ca(2+) responses in dendrites of two types of wind-sensitive interneurons (INs) with different dendritic geometries in the cricket cercal sensory system. In IN 10-3, whose dendrites arborize with various electrotonic distances to the spike-initiating zone (SIZ), the directional sensitivity of dendritic Ca(2+) responses corresponded to those indicated by Ca(2+) signals in presynaptic afferents arborizing on that dendrite. The directional tuning properties of individual dendrites varied from each other, and the directional sensitivity of the nearest dendrite to the SIZ dominates the tuning properties of the spiking response. In IN 10-2 with dendrites isometric to the SIZ, directional tuning properties of different dendrites were similar to each other, and each response property could be explained by the directional profile of the spatial overlap between that dendrite and Ca(2+)-elevated presynaptic terminals. For IN 10-2, the directional sensitivities extracted by the different dendritic-branches would contribute equally to the overall tuning. It is possible that the differences in the distribution of synaptic weights because of the dendritic geometry are related to the algorithm for extraction of sensory information in the postsynaptic interneurons.
虽然感觉信息是由单个感觉神经元的放电模式编码的,但它也由神经元群体活动的时空模式来表示。突触后中间神经元解码群体反应并提取特定的感觉信息。这种对突触前活动所代表信息的提取是定义突触后神经元输入 - 输出功能的关键过程。为了理解这种提取的“算法”,我们研究了蟋蟀尾须感觉系统中两种具有不同树突几何形状的风敏感中间神经元(INs)树突中突触前和突触后Ca(2+)反应的方向敏感性。在IN 10 - 3中,其树突以不同的电紧张距离向 spike - initiating zone(SIZ)分支,树突Ca(2+)反应的方向敏感性与在该树突上分支的突触前传入神经中的Ca(2+)信号所指示的方向敏感性相对应。各个树突的方向调谐特性彼此不同,并且最靠近SIZ的树突的方向敏感性主导了尖峰反应的调谐特性。在树突与SIZ等距的IN 10 - 2中,不同树突的方向调谐特性彼此相似,并且每个反应特性都可以通过该树突与Ca(2+)升高的突触前终末之间空间重叠的方向分布来解释。对于IN 10 - 2,不同树突分支提取的方向敏感性对整体调谐的贡献相同。由于树突几何形状导致的突触权重分布差异可能与突触后中间神经元中感觉信息提取的算法有关。