A goal-directed spatial navigation model using forward trajectory planning based on grid cells.

A goal-directed spatial navigation model using forward trajectory planning based on grid cells.
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DOI:
10.1111/j.1460-9568.2012.08015.x
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发表时间:
2012-03
期刊:
The European journal of neuroscience
影响因子:
--
通讯作者:
Hasselmo M
Hasselmo M
中科院分区:
其他
文献类型:
--
作者:
Erdem UM;Hasselmo M

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提出了一种基于头部方向细胞、网格细胞、位置细胞和前额叶皮层(PFC)细胞网络中轨迹的正向线性前瞻探测的目标导向导航模型。该模型允许选择新的目标导向轨迹。在一个新的环境中,虚拟大鼠通过随机探索逐渐创建一个由位置细胞和PFC细胞组成的地图。探索后,大鼠检索目标位置的记忆,静止在一个位置,通过对多个候选方向的轨迹进行正向线性前视探测,选择下一个运动方向,并找到激活PFC细胞的奖励信号最高的一个。每个探针方向都需要激活静态模式的头部方向细胞,以驱动网格细胞的干扰模型在特定方向上更新它们的相位。网格细胞尖峰的更新驱动位置细胞沿着探测的向前看轨迹前进,类似于在位置细胞记录中看到的清醒时的前向重播。探索方向,直到前瞻轨迹激活奖励信号,并使用相应的方向来指导寻目标行为。我们报告了几个有障碍物和没有障碍物的迷宫的模拟结果。障碍物导航需要基于被访问位置细胞的时间邻近的PFC地图拓扑和奖励信号扩散过程。正向线性前瞻轨迹探针与奖励扩散的相互作用允许发现以前从未经历过的通往目标位置的捷径。
A goal-directed navigation model is proposed based on forward linear look-ahead probe of trajectories in a network of head direction cells, grid cells, place cells, and prefrontal cortex (PFC) cells. The model allows selection of new goal-directed trajectories. In a novel environment, the virtual rat incrementally creates a map composed of place cells and PFC cells by random exploration. After exploration, the rat retrieves memory of the goal location, picks its next movement direction by forward linear look-ahead probe of trajectories in several candidate directions while stationary in one location, and finds the one activating PFC cells with the highest reward signal. Each probe direction involves activation of a static pattern of head direction cells to drive an interference model of grid cells to update their phases in a specific direction. The updating of grid cell spiking drives place cells along the probed look-ahead trajectory similar to the forward replay during waking seen in place cell recordings. Directions are probed until the look-ahead trajectory activates the reward signal and the corresponding direction is used to guide goal-finding behavior. We report simulation results in several mazes with and without barriers. Navigation with barriers requires a PFC map topology based on the temporal vicinity of visited place cells and a reward signal diffusion process. The interaction of the forward linear look-ahead trajectory probes with the reward diffusion allows discovery of never before experienced shortcuts towards a goal location.
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