Learning in single cells: biochemically-plausible models of habituation

Lina Eckert, Maria Sol Vidal-Saez, Ziyuan Zhao, Jordi Garcia-Ojalvo, Rosa Martinez-Corral, Jeremy Gunawardena
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Abstract

The ability to learn is typically attributed to animals with brains. However, the apparently simplest form of learning, habituation, in which a steadily decreasing response is exhibited to a repeated stimulus, is found not only in animals but also in single-cell organisms and individual mammalian cells. Habituation has been codified from studies in both invertebrate and vertebrate animals, as having ten characteristic hallmarks, seven of which involve a single stimulus. Here, we show by mathematical modelling that simple molecular networks, based on plausible biochemistry with common motifs of negative feedback and incoherent feedforward, can robustly exhibit all single-stimulus hallmarks. The models reveal how the hallmarks arise from underlying properties of timescale separation and reversal behaviour of memory variables and they reconcile opposing views of frequency and intensity sensitivity expressed within the neuroscience and cognitive science traditions. Our results suggest that individual cells may exhibit habituation behaviour as rich as that in multi-cellular animals with central nervous systems and that the relative simplicity of the biomolecular level may enhance our understanding of the mechanisms of learning.
单细胞学习:生化上可信的习惯化模型
学习能力通常被认为是有大脑的动物的能力。然而,最简单的学习形式--习惯化,即对重复刺激的反应逐渐减弱,不仅存在于动物中,也存在于单细胞生物和哺乳动物的单个细胞中。根据对无脊椎动物和脊椎动物的研究,习惯化被归纳为十个特征,其中七个涉及单一刺激。在这里,我们通过数学建模展示了简单的分子网络,这些网络以可信的生物化学为基础,具有负反馈和不连贯前馈的共同特征,能够稳健地表现出所有单刺激特征。这些模型揭示了这些特征是如何从记忆变量的时间尺度分离和逆转行为的潜在特性中产生的,并调和了神经科学和认知科学传统中对频率和强度敏感性的对立观点。我们的研究结果表明,单个细胞可能会表现出与具有中枢神经系统的多细胞动物一样丰富的习惯化行为,而生物分子水平的相对简单性可能会增强我们对学习机制的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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