Functional gradients in the medial temporal memory system

神经科学面临的最大挑战之一仍然是描述持久记忆是如何在大脑中实现的。出于许多原因，对情节记忆(对随时间和空间展开的经验的记忆)的易于处理的描述的搜索集中在海马结构和周围的内侧颞叶皮质上。使海马体结构成为记忆终极“索引”的诱人位置的证据的一部分，是这个结构从整个大脑接收到大量汇聚输入的事实。然而，这种趋同本身就带来了独特的挑战，因为越来越明显的是，这些不同的投入并没有得到同样有力的处理。来自不同结构的输入在记忆系统的不同部分以不同的梯度到达海马结构，从而可能在这些输入如何影响海马神经元大规模集合的信息表示方面产生巨大差异。整个海马体记忆系统的众多功能梯度以及它们如何影响信息处理才刚刚开始被理解。目前的建议旨在通过结合与活动相关的基因表达和多单位神经元记录来评估大规模神经元群体的活动模式，以进一步加深这一理解。这些记录将在几个已知的功能梯度上进行(例如，从隔区到海马结构的颞极以及垂直的近端梯度)。这些信息将在动物对不同类型刺激(如奖赏幅度、厌恶刺激、结果概率、空间环境变化)的变化做出反应时收集。总的来说，这些研究将为理解经验的内部表征如何动态地保持、处理和存储，以及它们如何与感官输入相互作用提供关键数据。

One of the greatest challenges facing neuroscience remains the description of how lasting memory is implemented within the brain. The search for a tractable description of episodic memory (the memory for experiences that unfold over space and time) has, for many reasons, focused on the hippocampal formation and surrounding medial temporal lobe cortices. Part of the body of evidence that makes the hippocampal formation an attractive seat for the ultimate "indexing" of memories is the fact that this structure receives a huge array of convergent input from across the entire brain. This very convergence, however, creates unique challenges, since it is becoming increasingly clear that these various inputs are not processed equally robustly. Input from different structures arrive to the hippocampal formation at different parts of the memory system and in different gradients, creating the potential for dramatic differences in how these inputs impact the information representations of large-scale ensembles of hippocampal neurons. The multitude of functional gradients across the hippocampal memory system and how they impact information processing is only beginning to be understood. The current proposal aims to further this understanding by assessing the pattern of activity of large-scale neuronal populations using a combination of activity-related gene expression and multi-unit neuronal recordings. These recordings will be conducted across several known functional gradients (e.g., from the septal to temporal poles of the hippocampal formation as well as the perpendicular proximodistal gradient). This information will be gathered as animals react to changes in qualitatively different types of stimuli (e.g., reward magnitude, aversive stimuli, outcome probabilities, changes in spatial surroundings). Collectively, these studies will provide critical data for understanding, in general, how internal representations of experiences are dynamically maintained, processed and stored, and how they interact with sensory input.