Center for Adaptive Systems, Boston University, 677 Beacon Street, Boston, MA 02215, USA.
J Cogn Neurosci. 2012 May;24(5):1031-54. doi: 10.1162/jocn_a_00200. Epub 2012 Jan 30.
Spatial learning and memory are important for navigation and formation of episodic memories. The hippocampus and medial entorhinal cortex (MEC) are key brain areas for spatial learning and memory. Place cells in hippocampus fire whenever an animal is located in a specific region in the environment. Grid cells in the superficial layers of MEC provide inputs to place cells and exhibit remarkable regular hexagonal spatial firing patterns. They also exhibit a gradient of spatial scales along the dorsoventral axis of the MEC, with neighboring cells at a given dorsoventral location having different spatial phases. A neural model shows how a hierarchy of self-organizing maps, each obeying the same laws, responds to realistic rat trajectories by learning grid cells with hexagonal grid firing fields of multiple spatial scales and place cells with unimodal firing fields that fit neurophysiological data about their development in juvenile rats. The hippocampal place fields represent much larger spaces than the grid cells to support navigational behaviors. Both the entorhinal and hippocampal self-organizing maps amplify and learn to categorize the most energetic and frequent co-occurrences of their inputs. Top-down attentional mechanisms from hippocampus to MEC help to dynamically stabilize these spatial memories in both the model and neurophysiological data. Spatial learning through MEC to hippocampus occurs in parallel with temporal learning through lateral entorhinal cortex to hippocampus. These homologous spatial and temporal representations illustrate a kind of "neural relativity" that may provide a substrate for episodic learning and memory.
空间学习和记忆对于导航和情景记忆的形成很重要。海马体和内嗅皮层(MEC)是空间学习和记忆的关键大脑区域。海马体中的位置细胞在动物位于环境中的特定区域时会发射。MEC 浅层中的网格细胞为位置细胞提供输入,并表现出显著的规则六边形空间发射模式。它们还沿着 MEC 的背腹轴表现出空间尺度的梯度,给定背腹位置的相邻细胞具有不同的空间相位。一个神经模型展示了如何通过学习具有多个空间尺度的六边形网格发射场的网格细胞和具有适合其在幼年大鼠中发育的单峰发射场的位置细胞,由遵循相同规律的自组织图层次结构对真实的大鼠轨迹做出响应,从而实现网格细胞。海马体的位置场代表比网格细胞更大的空间,以支持导航行为。内嗅皮层和海马体的自组织图都放大并学习对其输入的最有力和最频繁的共现进行分类。来自海马体到 MEC 的自上而下的注意力机制有助于在模型和神经生理学数据中动态稳定这些空间记忆。通过 MEC 到海马体的空间学习与通过外侧内嗅皮层到海马体的时间学习并行发生。这些同源的空间和时间表示形式说明了一种“神经相对性”,它可能为情景学习和记忆提供了一个基础。