DeepMind, 5 New Street Square, London EC4A 3TW, UK.
Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke-University Magdeburg, 39120 Magdeburg, Germany; German Center for Neurodegenerative Diseases (DZNE), Site Magdeburg, 39120 Magdeburg, Germany.
Neuron. 2018 Sep 19;99(6):1342-1354.e6. doi: 10.1016/j.neuron.2018.08.009.
Recent evidence challenges the widely held view that the hippocampus is specialized for episodic memory, by demonstrating that it also underpins the integration of information across experiences. Contemporary computational theories propose that these two contrasting functions can be accomplished by big-loop recurrence, whereby the output of the system is recirculated back into the hippocampus. We use ultra-high-resolution fMRI to provide support for this hypothesis, by showing that retrieved information is presented as a new input on the superficial entorhinal cortex-driven by functional connectivity between the deep and superficial entorhinal layers. Further, the magnitude of this laminar connectivity correlated with inferential performance, demonstrating its importance for behavior. Our findings offer a novel perspective on information processing within the hippocampus and support a unifying framework in which the hippocampus captures higher-order structure across experiences, by creating a dynamic memory space from separate episodic codes for individual experiences.
最近的证据挑战了一个广泛持有的观点，即海马体专门负责情景记忆，因为它也支持跨经验信息的整合。当代计算理论提出，这两个对比的功能可以通过大循环递归来实现，其中系统的输出被重新循环回海马体。我们使用超高分辨率 fMRI 来提供支持这个假设的证据，表明检索到的信息被呈现为一个新的输入，在浅层内嗅皮层驱动下，由深和浅层内嗅皮层之间的功能连接所驱动。此外，这种层间连接的幅度与推理表现相关，表明其对行为的重要性。我们的发现为海马体内部的信息处理提供了一个新的视角，并支持了一个统一的框架，即海马体通过为单个经验的单独情景代码创建一个动态记忆空间，从而在跨经验中捕获更高阶的结构。
