Signal propagation and logic gating in networks of integrate-and-fire neurons
Signal propagation and logic gating in networks of integrate-and-fire neurons
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DOI：
10.1523/jneurosci.3508-05.2005
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发表时间：
2005-11-16
影响因子：
5.3
通讯作者：
Abbott, LF
中科院分区：
文献类型：
--
作者：
Vogels, TP;Abbott, LF
大脑内的信号传输对于认知功能至关重要，但目前尚不清楚神经回路如何在足够大的动态范围内支持可靠和准确的信号传播。研究了两种传播模式：synfire链，其中同步活动通过神经元网络的前馈层传播，以及在这些层上传播发射率的波动。在这两种情况下，必须包括足够量的噪声，这些噪声是从外部源添加到先前的模型中的，以支持稳定的传播。稀疏、随机连接的尖峰模型神经元网络可以产生混乱的活动模式。我们调查这种活动，这是一个更现实的噪声源，是否足以让信号传输。我们发现，速率编码的信号，但不是synfire链，这样的网络支持强大的和准确的信号再现，通过多达六层，如果适当的调整，在突触强度。我们调查的因素影响传输，并表明，多个信号可以同时传播沿着不同的途径。使用这个功能，我们展示了如何不同类型的逻辑门可以出现在随机网络的架构，通过加强特定的突触。
Transmission of signals within the brain is essential for cognitive function, but it is not clear how neural circuits support reliable and accurate signal propagation over a sufficiently large dynamic range. Two modes of propagation have been studied: synfire chains, in which synchronous activity travels through feedforward layers of a neuronal network, and the propagation of fluctuations in firing rate across these layers. In both cases, a sufficient amount of noise, which was added to previous models from an external source, had to be included to support stable propagation. Sparse, randomly connected networks of spiking model neurons can generate chaotic patterns of activity. We investigate whether this activity, which is a more realistic noise source, is sufficient to allow for signal transmission. We find that, for rate-coded signals but not for synfire chains, such networks support robust and accurate signal reproduction through up to six layers if appropriate adjustments are made in synaptic strengths. We investigate the factors affecting transmission and show that multiple signals can propagate simultaneously along different pathways. Using this feature, we show how different types of logic gates can arise within the architecture of the random network through the strengthening of specific synapses.