Kammerer Axel, Tejero-Cantero Alvaro, Leibold Christian
Department Biologie II, Ludwig-Maximilians University Munich, Großhadernerstrasse 2, 82152 Planegg, Germany.
J Comput Neurosci. 2013 Feb;34(1):125-36. doi: 10.1007/s10827-012-0410-z. Epub 2012 Jul 11.
Recurring sequences of neuronal activation in the hippocampus are a candidate for a neurophysiological correlate of episodic memory. Here, we discuss a mean-field theory for such spike sequences in phase space and show how they become unstable when the neuronal network operates at maximum memory capacity. We find that inhibitory feedback rescues replay of the sequences, giving rise to oscillations and thereby enhancing the network's capacity. We further argue that transient sequences in an overloaded network with feedback inhibition may provide a mechanistic picture of memory-related neuronal activity during hippocampal sharp-wave ripple complexes.
海马体中神经元激活的重复序列是情景记忆神经生理相关物的一个候选对象。在此，我们讨论了相空间中此类尖峰序列的平均场理论，并展示了当神经网络以最大记忆容量运行时它们是如何变得不稳定的。我们发现抑制性反馈挽救了序列的重放，引发振荡，从而增强了网络的容量。我们进一步认为，具有反馈抑制的过载网络中的瞬态序列可能为海马体尖波涟漪复合体期间与记忆相关的神经元活动提供一个机制图景。
