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A DEVELOPMENTAL LEARNING RULE FOR COINCIDENCE TUNING IN THE BARN OWL AUDITORY SYSTEM

机译:谷仓猫头鹰听觉系统巧合调整的发展统治

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Binaural coincidence detection is essential for the localization of external sounds and requires auditory signal processing with high temporal precision. We present an integrate-and-fire model of spike processing in the third order nucleus laminaris of the auditory pathway of the barn owl. Each input spike generates an excitatory postsynaptic potential with a width of 250 fjs. Output spikes occur with a tenfold enhanced temporal precision. This is possible since neuronal connections are fine tuned during a critical period of development as has been suggested by recent experiments. This rule does not only explain the temporal presicion in the output, but causes also a tuning to interaural time difference. The learning rule is of the Hebbian type: A synaptic weight is increased if a presynaptic spike arrives at about the same time as or slightly before postsynaptic firing. A presynaptic spike arriving after postsynaptic firing leads to a decrease of the synaptic efficacy.
机译:双耳巧合检测对于外部声音的定位是必不可少的,并且需要具有高时间精度的听觉信号处理。我们在谷仓猫头鹰的听觉途径的第三阶核核心中呈现了尖峰处理的集成和消防模型。每个输入尖峰产生宽度为250 fjs的兴奋性突触突触电位。输出尖峰随着一个增强的时间精度而发生。这是可能的,因为在最近的实验所提出的临界发展期间神经元连接在临界发展期间进行微调。该规则不仅解释了输出中的时间估例,而且还导致调谐到互纳力时间差。学习规则是Hebbian类型:如果突触前尖峰在突触后射击之前大约到达或略微到达大约同一时间,则突触重量增加。突触后烧制后到达的突触前尖峰导致突触疗效的降低。

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