Kalluri Sridhar, Delgutte Bertrand
Harvard University-Massachusetts Institute of Technology, Division of Health Sciences and Technology, Eaton-Peabody Lab, Massachusetts Eye and Ear Infirmary, Boston, MA 02114, USA.
J Comput Neurosci. 2003 Jan-Feb;14(1):71-90. doi: 10.1023/a:1021128418615.
The cochlear nucleus (CN) presents a unique opportunity for quantitatively studying input-output transformations by neurons because it gives rise to a variety of different response types from a relatively homogeneous input source, the auditory nerve (AN). Particularly interesting among CN neurons are Onset (On) neurons, which have a prominent response to the onset of sustained sounds followed by little or no response in the steady-state. On neurons contrast sharply with their AN inputs, which respond vigorously throughout stimuli. On neurons can entrain to stimuli (firing once per cycle of a periodic stimulus) at up to 1000 Hz, unlike their AN inputs. To understand the mechanisms underlying these response patterns, we tested whether an integrate-to-threshold point-neuron model with a fixed refractory period can account for On discharge patterns for tones, systematically examining the effect of membrane time constant and the number and strength of the exclusively excitatory AN synaptic inputs. To produce both onset responses to high-frequency tone bursts and entrainment to a broad range of low-frequency tones, the model must have a short time constant ( approximately 0.125 ms) and a large number (>100) of weak synaptic inputs, properties that are consistent with the electrical properties and anatomy of On-responding cells. With these parameters, the model acts like a coincidence detector with a threshold-like relationship between the instantaneous discharge rates of the output and the inputs. Onset responses to high-frequency tone bursts result because the threshold effect enhances the initial response of the AN inputs and suppresses their relatively lower sustained response. However, when the model entrains across a broad range of frequencies, it also produces short interspike intervals at the onset of high-frequency tone bursts, a response pattern not found in all types of On neurons. These results show a tradeoff, that may be a general property of many neurons, between following rapid stimulus fluctuations and responding without short interspike intervals at the onset of sustained stimuli.
耳蜗核(CN)为通过神经元定量研究输入-输出转换提供了一个独特的机会,因为它从相对同质的输入源——听神经(AN)产生了多种不同的反应类型。在CN神经元中,特别有趣的是起始(On)神经元,它们对持续声音的起始有显著反应,而在稳态下反应很小或没有反应。On神经元与其AN输入形成鲜明对比,AN输入在整个刺激过程中都有强烈反应。与它们的AN输入不同,On神经元能够以高达1000 Hz的频率锁定刺激(在周期性刺激的每个周期放电一次)。为了理解这些反应模式背后的机制,我们测试了一个具有固定不应期的积分到阈值点神经元模型是否能够解释音调的On放电模式,系统地研究了膜时间常数以及纯兴奋性AN突触输入的数量和强度的影响。为了产生对高频音爆的起始反应以及对广泛低频音调的锁定,该模型必须具有短的时间常数(约0.125 ms)和大量(>100)的弱突触输入,这些特性与On反应细胞的电特性和解剖结构一致。有了这些参数,该模型就像一个符合探测器,输出和输入的瞬时放电率之间存在类似阈值的关系。对高频音爆的起始反应是因为阈值效应增强了AN输入的初始反应并抑制了它们相对较低的持续反应。然而,当模型在广泛的频率范围内锁定时,它也会在高频音爆的起始处产生短的峰间间隔,这种反应模式并非在所有类型的On神经元中都能找到。这些结果表明,在跟随快速刺激波动和在持续刺激起始时无短峰间间隔地做出反应之间存在一种权衡,这可能是许多神经元的普遍特性。