In automata networks, it is well known that the way entities update their states over time has a major impact on their dynamics. In particular, depending on the chosen update schedule, the underlying dynamical systems may exhibit more or less asymptotic dynamical behaviours such as fixed points or limit cycles. Since such mathematical models have been used in the framework of biological networks modelling, the question of choosing appropriate update schedules has arised soon. In this note, focusing on Boolean networks, our aim is to emphasise that the adequate way of thinking regulations and genetic expression over time is certainly not to consider a wall segregating synchronicity from asynchronicity because they actually complement rather well. In particular, we highlight that specific update schedules, namely block-parallel update schedules, whose intrinsic features are still not known from a theoretical point of view, admit realistic and pertinent properties in the context of biological modelling and deserve certainly more attention from the community.

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关于块并行布尔网络：立场文件

在自动机网络中，众所周知，实体随时间更新状态的方式对其动态有重大影响。特别是，根据所选的更新计划，基础的动力学系统可能会显示出或多或少的渐近动力学行为，例如固定点或极限循环。由于这样的数学模型已经在生物网络建模的框架中使用，选择合适的更新时间表的问题很快就出现了。在本说明中，我们着眼于布尔网络，我们的目的是强调，随着时间的流逝，思考规则和遗传表达的适当方式当然不会考虑将同步与异步隔离开来的隔离墙，因为它们实际上相辅相成。特别要强调的是，特定的更新计划，即块并行更新计划，