Laing Carlo R, Longtin André
Institute of Information and Mathematical Sciences, Massey University, Auckland, New Zealand.
Phys Rev E Stat Nonlin Soft Matter Phys. 2003 May;67(5 Pt 1):051928. doi: 10.1103/PhysRevE.67.051928. Epub 2003 May 27.
We study the effects of sinusoidally modulating the current injected into a model sensory neuron from the weakly electric fish Apteronotus leptorhynchus. This neuron's behavior is known to switch from quiescence to periodic firing to bursting as the injected current is increased. The bifurcation separating periodic from bursting behavior is a saddle-node bifurcation of periodic orbits, and it has been shown previously that there is "type-I burst excitability" associated with this bifurcation, similar to the usual excitability associated with the transition from quiescence to periodic firing. Here we show numerically that sinusoidal modulation of the dc current injected into the model neuron can switch it from periodic to burst firing, or vice versa, depending on the frequency of modulation and the distance to the burst excitability threshold. This is explained by mapping resonance tongues in parameter space. We also show that such a model neuron can undergo stochastic resonance near the transition from periodic to burst firing, as a result of the burst excitability, regardless of the location (soma or dendrite) of the signal and noise. The novelty is that the "output event" is now a burst rather than a single action potential, and the neuron returns to almost periodic firing between bursts, rather than to the vicinity of a fixed point. Since the neuron under study is a sensory neuron that must encode signals with varying temporal structure in the presence of considerable intrinsic noise, these aspects are of potential importance to electrosensory processing and also to other bursting neurons that have periodic input.
我们研究了对弱电鱼线翎电鳗(Apteronotus leptorhynchus)的模型感觉神经元注入的电流进行正弦调制的影响。已知随着注入电流的增加,该神经元的行为会从静止状态转变为周期性放电再到爆发式放电。将周期性行为与爆发式行为分开的分岔是周期轨道的鞍结分岔,并且先前已经表明,与这种分岔相关存在“ I型爆发兴奋性”,这类似于与从静止状态到周期性放电转变相关的通常兴奋性。在这里,我们通过数值模拟表明,注入模型神经元的直流电流的正弦调制可以使其从周期性放电转变为爆发式放电,反之亦然,这取决于调制频率和到爆发兴奋性阈值的距离。这可以通过在参数空间中绘制共振舌来解释。我们还表明,由于爆发兴奋性,这样的模型神经元在从周期性放电到爆发式放电的转变附近会经历随机共振,而与信号和噪声的位置(胞体或树突)无关。新颖之处在于,“输出事件”现在是一次爆发而不是单个动作电位,并且神经元在爆发之间恢复到几乎周期性的放电,而不是回到固定点附近。由于所研究的神经元是一个感觉神经元,它必须在存在相当大的内在噪声的情况下对具有变化时间结构的信号进行编码,因此这些方面对电感觉处理以及对具有周期性输入的其他爆发神经元可能具有潜在的重要性。