Melssen W J, Epping W J, van Stokkum I H
Department of Medical Physics and Biophysics, University of Nijmegen, The Netherlands.
Hear Res. 1990 Aug 15;47(3):235-56. doi: 10.1016/0378-5955(90)90155-i.
The sensitivity for interaural time (ITD) and intensity (IID) difference was investigated for single units in the auditory midbrain of the grassfrog. A temporally structured stimulus was used which was presented by means of a closed sound system. At best frequency (BF) the majority of units was selective for ITD as indicated by an asymmetrically (73%) or symmetrically (7%) shaped ITD-rate histogram. About 20% appeared to be nonselective. Units with a symmetrical rate histogram had BFs well above 0.9 kHz, whereas for the other categories no relationship with BF was observed. Most units had a selectivity for ITD which was rather independent from frequency and absolute intensity level. In 62% of the units interaural time difference could be traded by interaural intensity difference. In most cases this so-called time-intensity trading could be explained by the intensity-latency characteristics of auditory nerve fibres. About 20% was sensitive to IID only and 5% to ITD only. A binaural model is proposed which is based on the intensity-rate and intensity-latency characteristics of auditory nerve fibres, the linear summation of excitatory and inhibitory post synaptic potentials in second order neurons, and spatiotemporal integration at the level of third order neurons. By variation of only a small number of parameters, namely strengths and time constants of the connectivities, the range of experimentally observed response patterns could be reproduced.
对泽蛙听觉中脑单个神经元的双耳时间(ITD)和强度(IID)差异敏感性进行了研究。使用了一种通过封闭声音系统呈现的具有时间结构的刺激。在最佳频率(BF)下,如非对称(73%)或对称(7%)形状的ITD - 放电率直方图所示,大多数神经元对ITD具有选择性。约20%的神经元似乎是非选择性的。具有对称放电率直方图的神经元的BF远高于0.9 kHz,而对于其他类别,未观察到与BF的关系。大多数神经元对ITD的选择性相当独立于频率和绝对强度水平。在62%的神经元中,双耳时间差异可以被双耳强度差异所替代。在大多数情况下,这种所谓的时间 - 强度转换可以通过听神经纤维的强度 - 潜伏期特性来解释。约20%的神经元仅对IID敏感,5%仅对ITD敏感。提出了一种双耳模型,该模型基于听神经纤维的强度 - 放电率和强度 - 潜伏期特性、二阶神经元中兴奋性和抑制性突触后电位的线性总和以及三阶神经元水平的时空整合。通过仅改变少量参数,即连接性的强度和时间常数,就可以重现实验观察到的反应模式范围。