Suppr超能文献

包络编码的神经动力学

Neural dynamics of envelope coding.

作者信息

Longtin André, Middleton Jason W, Cieniak Jakub, Maler Leonard

机构信息

Center for Neural Dynamics, University of Ottawa, Ottawa, Canada.

出版信息

Math Biosci. 2008 Jul-Aug;214(1-2):87-99. doi: 10.1016/j.mbs.2008.01.008. Epub 2008 Feb 14.

Abstract

We consider the processing of narrowband signals that modulate carrier waveforms in sensory systems. The tuning of sensory neurons to the carrier frequency results in a high sensitivity to the amplitude modulations of the carrier. Recent work has revealed how specialized circuitry can extract the lower-frequency modulation associated with the slow envelope of a narrowband signal, and send it to higher brain along with the full signal. This paper first summarizes the experimental evidence for this processing in the context of electroreception, where the narrowband signals arise in the context of social communication between the animals. It then examines the mechanism of this extraction by single neurons and neural populations, using intracellular recordings and new modeling results contrasting envelope extraction and stochastic resonance. Low noise and peri-threshold stimulation are necessary to obtain a firing pattern that shows high coherence with the envelope of the input. Further, the output must be fed through a slow synapse. Averaging networks are then considered for their ability to detect, using additional noise, signals with power in the envelope bandwidth. The circuitry that does support envelope extraction beyond the primary receptors is available in many areas of the brain including cortex. The mechanism of envelope extraction and its gating by noise and bias currents is thus accessible to non-carrier-based coding as well, as long as the input to the circuit is a narrowband signal. Novel results are also presented on a more biophysical model of the receptor population, showing that it can encode a narrowband signal, but not its envelope, as observed experimentally. The model is modified from previous models by stimulus reducing contrast in order to make it sufficiently linear to agree with the experimental data.

摘要

我们考虑感觉系统中调制载波波形的窄带信号的处理。感觉神经元对载波频率的调谐导致对载波幅度调制具有高灵敏度。最近的研究揭示了专门的神经回路如何提取与窄带信号的缓慢包络相关的低频调制,并将其与完整信号一起发送到大脑更高区域。本文首先在电感受的背景下总结了这种处理的实验证据,在电感受中,窄带信号出现在动物之间的社交交流背景下。然后,利用细胞内记录以及对比包络提取和随机共振的新建模结果,研究单个神经元和神经群体进行这种提取的机制。低噪声和阈下刺激对于获得与输入包络具有高相干性的放电模式是必要的。此外,输出必须通过慢突触。接着考虑平均网络利用额外噪声检测包络带宽内具有功率的信号的能力。支持初级感受器之外的包络提取的神经回路在包括皮层在内的大脑许多区域都存在。因此,只要电路的输入是窄带信号,基于非载波的编码也可以实现包络提取及其由噪声和偏置电流进行的门控机制。本文还给出了关于感受器群体更具生物物理性质的模型的新结果,表明该模型可以编码窄带信号,但不能编码其包络,这与实验观察一致。该模型在先前模型的基础上进行了修改,通过降低刺激对比度以使它足够线性从而与实验数据相符。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验