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首页> 外文会议>Computational Neuroscience Meeting(CNS03); 20030705-09; Alicante(ES) >Bistability in oscillatory cortical modules
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Bistability in oscillatory cortical modules

机译：振荡皮质模块的双稳态

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摘要

A bistable system exhibits two distinct response levels, so it may act as a switch. Bistability is a common feature of many dynamical systems, including single and interconnected neurons. In general, it provides a simple model mechanism for the gating of neural activity, which may be ubiquitously important for the operation of real nervous systems. Here we explore the range of conditions under which bistability is possible in recurrent neural networks. In particular, we explore whether oscillations affect the capacity of a circuit to produce bistable behavior. To this end, we simulate and compare three types of networks: one with homogeneous parameters (so individual units are identical), another with heterogeneous parameters, and a third that is forced to produce oscillatory activity. We use an evolutionary strategy to generate networks of each type that are bistable in the presence of noise. We find that all evolved networks reach a nearly equal capacity to sustain bistability in the presence of high noise, suggesting that such capacity is not greatly limited by other constraints that may be placed upon a network.
机译：双稳态系统表现出两个不同的响应级别，因此它可以充当开关。双稳态是许多动力学系统（包括单个和相互连接的神经元）的共同特征。通常，它为门控神经活动提供了一种简单的模型机制，这对于实际神经系统的运行可能无处不在。在这里，我们探讨了在递归神经网络中可能存在双稳态的条件范围。特别是，我们探讨了振荡是否会影响电路产生双稳态行为的能力。为此，我们模拟并比较了三种类型的网络：一种具有同类参数（因此各个单元是相同的），另一种具有异构参数，第三种被迫产生振荡活动。我们使用一种进化策略来生成在存在噪声的情况下双稳态的每种类型的网络。我们发现，所有演进的网络在存在高噪声的情况下达到保持双稳态的几乎相等的容量，这表明该容量不受网络上可能存在的其他约束的很大限制。

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