Buonomano D V, Hickmott P W, Merzenich M M
Keck Center for Integrative Neuroscience, University of California, San Francisco, San Francisco, CA 94143, USA.
Proc Natl Acad Sci U S A. 1997 Sep 16;94(19):10403-8. doi: 10.1073/pnas.94.19.10403.
Hippocampal slices are used to show that, as a temporal input pattern of activity flows through a neuronal layer, a temporal-to-spatial transformation takes place. That is, neurons can respond selectively to the first or second of a pair of input pulses, thus transforming different temporal patterns of activity into the activity of different neurons. This is demonstrated using associative long-term potentiation of polysynaptic CA1 responses as an activity-dependent marker: by depolarizing a postsynaptic CA1 neuron exclusively with the first or second of a pair of pulses from the dentate gyrus, it is possible to "tag" different subpopulations of CA3 neurons. This technique allows sampling of a population of neurons without recording simultaneously from multiple neurons. Furthermore, it reflects a biologically plausible mechanism by which single neurons may develop selective responses to time-varying stimuli and permits the induction of context-sensitive synaptic plasticity. These experimental results support the view that networks of neurons are intrinsically able to process temporal information and that it is not necessary to invoke the existence of internal clocks or delay lines for temporal processing on the time scale of tens to hundreds of milliseconds.
海马切片被用于表明,当一种时间性的活动输入模式流经一个神经元层时,会发生从时间到空间的转换。也就是说,神经元可以对一对输入脉冲中的第一个或第二个做出选择性反应,从而将不同的时间性活动模式转化为不同神经元的活动。这通过使用多突触CA1反应的联合性长时程增强作为一种活动依赖性标记来证明:通过仅用来自齿状回的一对脉冲中的第一个或第二个使突触后CA1神经元去极化,就有可能“标记”CA3神经元的不同亚群。这种技术允许对一群神经元进行采样,而无需同时记录多个神经元。此外,它反映了一种生物学上合理的机制,单个神经元可能通过这种机制对随时间变化的刺激产生选择性反应,并允许诱导上下文敏感的突触可塑性。这些实验结果支持这样一种观点,即神经元网络本质上能够处理时间信息,并且在几十到几百毫秒的时间尺度上进行时间处理时,没有必要援引内部时钟或延迟线的存在。