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Mathematical Models of Cochlear Nucleus Onset Neurons: I. Point Neuron with Many Weak Synaptic Inputs

机译:耳蜗神经元神经元的数学模型:I.具有许多弱突触输入的点神经元

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摘要

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 (≈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.
机译:耳蜗核(CN)为定量研究神经元的输入-输出转换提供了独特的机会,因为它会从相对均一的输入源听神经(AN)引起多种不同的响应类型。在CN神经元中,特别有趣的是“发作”(On)神经元,它对持续声音的发作有明显的反应,而在稳态时则几乎没有反应。在神经元上,它们的AN输入形成鲜明对比,而AN输入在整个刺激过程中均会强烈响应。与它们的AN输入不同,神经元可以以高达1000 Hz的频率带动刺激(周期性刺激的每个周期触发一次)。为了了解这些响应模式的潜在机制,我们测试了具有固定不应期的阈值积分神经元模型是否可以解释色调的放电模式,系统地检查了膜时间常数的影响以及膜的强度和强度。完全兴奋的AN突触输入。为了同时产生对高频音调爆发的响应和对广泛范围的低频音调的夹带,该模型必须具有较短的时间常数(≈0.125ms)和大量(> 100)的弱突触输入,特性与响应细胞的电学性质和解剖结构一致。使用这些参数,模型就像巧合检测器一样,在输出和输入的瞬时放电速率之间具有阈值状的关系。由于阈值效应增强了AN输入的初始响应并抑制了其相对较低的持续响应,因此产生了对高频音调突发的响应。但是,当模型在很宽的频率范围内进行夹带时,也会在高频音调爆发开始时产生短的尖峰间隔,这在所有类型的On神经元中都没有发现。这些结果表明,在跟随快速的刺激波动和在持续刺激开始时没有短的突波间隔的情况下做出响应之间可能存在折衷,这可能是许多神经元的一般特性。

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