Eckert Lina, Vidal-Saez Maria Sol, Zhao Ziyuan, Garcia-Ojalvo Jordi, Martinez-Corral Rosa, Gunawardena Jeremy
Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA; Max-Planck Institute for Neurobiology of Behavior, Bonn 53175, Germany.
Department of Medicine and Life Sciences, Universitat Pompeu Fabra, C/Dr Aiguader 88, Barcelona 08003, Spain.
Curr Biol. 2024 Dec 16;34(24):5646-5658.e3. doi: 10.1016/j.cub.2024.10.041. Epub 2024 Nov 19.
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 modeling 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 behavior 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 behavior as rich as that which has been codified 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.
学习能力通常被认为是有大脑的动物所具备的。然而,学习的一种看似最简单的形式——习惯化,即对重复刺激表现出逐渐减弱的反应,不仅在动物中存在,在单细胞生物和单个哺乳动物细胞中也能发现。习惯化已在对无脊椎动物和脊椎动物的研究中被归纳为具有十个特征标志,其中七个涉及单一刺激。在此,我们通过数学建模表明,基于具有负反馈和非相干前馈等常见基序的合理生物化学原理构建的简单分子网络,能够稳健地展现出所有单一刺激的标志。这些模型揭示了这些标志是如何从记忆变量的时间尺度分离和反转行为的潜在特性中产生的,并且调和了神经科学和认知科学传统中关于频率和强度敏感性的对立观点。我们的结果表明,单个细胞可能表现出与具有中枢神经系统的多细胞动物中所归纳的一样丰富的习惯化行为,而且生物分子层面的相对简单性可能会增进我们对学习机制的理解。