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Filtering Capability of Neural Networks from the Developing Mammalian Hippocampus

机译:发育中的哺乳动物海马神经网络的过滤能力

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Synchronous populatin activity is present in neuronal networks in both normal conditions~1-3 and pathological states such as epilepsy~4-8. During early development of the hippocampus, similar bursts are also recorded~2,3,9. These spontaneous bursts are generated by the synchronized action of interneurons acting as excitatory cells~9. Nevertheless, the mechanism leading to synchronization still remains unclear. Here, we investigate the conditions in which synchronization arises in developing hippocampal networks. Using simultaneous recordings, we demonstrate that bursts result from a local cooperation of active cells within an integration period prior to their onset. During this interval, an increase in the number of excitatory postsynaptic potentials (EPSPs) takes place. By comparing EPSP frequency is characterized by a threshold from which synchronized bursting arises (17 Hz) which can be reproduced by extracellular stimulation. We propose that this threshold is a property of the network, and determines the critical frequency at which cellular populations become phase locked. This frequency-threshold mechanism endows hippocampal networks with highpass filtering behavior. We discuss its functional implication in neuronal computation~10, stimulus encoding~11-13 and in pathological conditions such as epilepsy~5.14.
机译:神经元网络在正常状态〜1-3和病理状态(例如癫痫病〜4-8)中都存在同步populatin活性。在海马体的早期发育期间,也记录了类似的爆发〜2、3、9。这些自发的爆发是由充当兴奋细胞的中间神经元的同步作用产生的[9]。但是,导致同步的机制仍然不清楚。在这里,我们调查在发展海马网络中出现同步的条件。使用同步录音,我们证明了爆发是由于活性细胞在发作之前的整合期内的局部协作引起的。在此间隔期间,兴奋性突触后电位(EPSP)数量增加。通过比较EPSP频率的特征在于阈值,从该阈值出现同步爆发(17Hz),其可以通过细胞外刺激来再现。我们建议此阈值是网络的属性,并确定细胞群被锁相的临界频率。这种频率阈值机制使海马网络具有高通滤波行为。我们讨论了其在神经元计算〜10,刺激编码〜11-13和病理状况(例如癫痫〜5.14)中的功能含义。

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