Yoshida Motoharu, Hayashi Hatsuo
Department of Computer Science and Electronics, Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology, Iizuka 820-8502, Japan.
Neural Netw. 2007 Aug;20(6):653-67. doi: 10.1016/j.neunet.2007.05.003. Epub 2007 May 31.
Recent studies have shown that place cells in the hippocampal CA1 region fire in a sequence sensitive manner. In this study we tested if hippocampal CA3 and CA1 regions can give rise to the sequence sensitivity. We used a two-layer CA3-CA1 hippocampal model that consisted of Hodgkin-Huxley style neuron models. Sequential input signals that mimicked signals projected from the entorhinal cortex gradually modified the synaptic conductances between CA3 pyramidal cells through spike-timing-dependent plasticity (STDP) and produced propagations of neuronal activity in the radial direction from stimulated pyramidal cells. This sequence dependent spatio-temporal activity was picked up by specific CA1 pyramidal cells through modification of Schaffer collateral synapses with STDP. After learning, these CA1 pyramidal cells responded with the highest probability to the learned sequence, while responding with a lower probability to different sequences. These results demonstrate that sequence sensitivity of CA1 place cells would emerge through computation in the CA3 and CA1 regions.
最近的研究表明,海马体CA1区域的位置细胞以序列敏感的方式放电。在本研究中,我们测试了海马体CA3和CA1区域是否能产生序列敏感性。我们使用了一个由霍奇金-赫胥黎式神经元模型组成的两层CA3-CA1海马体模型。模仿从内嗅皮质投射的信号的顺序输入信号通过尖峰时间依赖性可塑性(STDP)逐渐改变CA3锥体细胞之间的突触电导,并在受刺激的锥体细胞的径向方向上产生神经元活动的传播。这种序列依赖性的时空活动通过用STDP修饰谢弗侧支突触被特定的CA1锥体细胞捕捉到。学习后,这些CA1锥体细胞对学习到的序列反应概率最高,而对不同序列反应概率较低。这些结果表明,CA1位置细胞的序列敏感性将通过CA3和CA1区域的计算而出现。