Wirtshafter Hannah S, Solla Sara A, Disterhoft John F
Department of Neuroscience, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
bioRxiv. 2024 Nov 19:2024.10.24.620127. doi: 10.1101/2024.10.24.620127.
How learning is affected by context is a fundamental question of neuroscience, as the ability to generalize learning to different contexts is necessary for navigating the world. An example of swift contextual generalization is observed in conditioning tasks, where performance is quickly generalized from one context to another. A key question in identifying the neural substrate underlying this ability is how the hippocampus (HPC) represents task-related stimuli across different environments, given that HPC cells exhibit place-specific activity that changes across contexts (remapping). In this study, we used calcium imaging to monitor hippocampal neuron activity as rats performed a conditioning task across multiple spatial contexts. We investigated whether hippocampal cells, which encode both spatial locations (place cells) and task-related information, could maintain their task representation even when their spatial encoding remapped in a new spatial context. To assess the consistency of task representations, we used advanced dimensionality reduction techniques combined with machine learning to develop manifold representations of population level HPC activity. The results showed that task-related neural representations remained stable even as place cell representations of spatial context changed, thus demonstrating similar embedding geometries of neural representations of the task across different spatial contexts. Notably, these patterns were not only consistent within the same animal across different contexts but also significantly similar across different animals, suggesting a standardized neural encoding or 'neural syntax' in the hippocampus. These findings bridge a critical gap between memory and navigation research, revealing how the hippocampus maintains cognitive consistency across different spatial environments. These findings also suggest that hippocampal function is governed by a neural framework shared between animals, an observation that may have broad implications for understanding memory, learning, and related cognitive processes. Looking ahead, this work opens new avenues for exploring the fundamental principles underlying hippocampal encoding strategies.
学习如何受到环境的影响是神经科学的一个基本问题,因为将学习推广到不同环境的能力对于在世界中导航是必要的。在条件任务中可以观察到快速的情境泛化的一个例子,在该任务中,表现会迅速从一个环境推广到另一个环境。确定这种能力背后的神经基质的一个关键问题是,鉴于海马体(HPC)细胞表现出随环境变化的位置特异性活动(重新映射),海马体如何在不同环境中表征与任务相关的刺激。在这项研究中,我们使用钙成像来监测大鼠在多个空间环境中执行条件任务时海马神经元的活动。我们研究了既编码空间位置(位置细胞)又编码与任务相关信息的海马细胞,即使它们在新的空间环境中重新映射其空间编码时,是否仍能保持其任务表征。为了评估任务表征的一致性,我们使用先进的降维技术结合机器学习来开发群体水平海马体活动的流形表征。结果表明,即使空间环境的位置细胞表征发生变化,与任务相关的神经表征仍保持稳定,从而证明了任务的神经表现在不同空间环境中的嵌入几何形状相似。值得注意的是,这些模式不仅在同一动物的不同环境中是一致的,而且在不同动物之间也显著相似,这表明海马体中存在标准化的神经编码或“神经语法”。这些发现弥合了记忆和导航研究之间的关键差距,揭示了海马体如何在不同空间环境中保持认知一致性。这些发现还表明,海马体功能受动物之间共享的神经框架支配,这一观察结果可能对理解记忆、学习及相关认知过程具有广泛影响。展望未来,这项工作为探索海马体编码策略背后的基本原理开辟了新途径。