University of Oregon, United States.
University of Oregon, United States; University of Wisconsin-Milwaukee, United States.
Neurobiol Learn Mem. 2020 Nov;175:107317. doi: 10.1016/j.nlm.2020.107317. Epub 2020 Sep 30.
Memory-based cognition depends on both the ability to remember specific details of individual experiences and the ability to combine information across experiences to generalize and derive new knowledge. A hippocampal role in rapid encoding of specific events is long established. More recent research also demonstrates hippocampal contributions to generalization, but their nature is still debated. The current review provides an overview of hippocampal-based generalization in two lines of research-episodic inference and categorization-and discusses evidence for four candidate mechanisms and representational schemes that may underpin such generalization. We highlight evidence showing that the hippocampus contributes specific memories to generalization decisions, but also forms generalized representations that integrate information across experiences. Multiple views are currently plausible of how such generalized representations form and relate to specific memories. Future research that uses behavioral and neural indices of both generalization and specificity may help resolve between the candidate generalization mechanisms, with the possibility that more than one view of hippocampal-based generalization may be valid. Importantly, all views share the emphasis on the broader role of the hippocampus in cognition that goes beyond remembering the past.
基于记忆的认知既依赖于记住个体经历具体细节的能力,也依赖于将信息从经历中整合以进行概括和获得新知识的能力。海马体在快速编码特定事件方面的作用早已确立。最近的研究还表明海马体对泛化有贡献,但它们的性质仍存在争议。目前的综述提供了基于海马体的两种研究方法——情节推断和分类——的泛化概述,并讨论了可能支持这种泛化的四个候选机制和表示方案的证据。我们强调了证据表明海马体将特定记忆贡献给泛化决策,但也形成了跨经验整合信息的广义表示。目前对于这种广义表示如何形成以及与特定记忆相关的观点有多种。未来的研究可以使用泛化和特异性的行为和神经指标,有助于在候选泛化机制之间做出区分,并且可能有不止一种基于海马体的泛化观点是有效的。重要的是,所有观点都强调了海马体在认知中的更广泛作用,不仅仅是记住过去。