Flexible Path Planning in a Spiking Model of Replay and Vicarious Trial and Error
Flexible Path Planning in a Spiking Model of Replay and Vicarious Trial and Error
复制标题
重放和替代试错尖峰模型中的灵活路径规划
DOI：
10.1007/978-3-031-16770-6_15
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
• Krichmar, J.L.
中科院分区：
文献类型：
--
作者：
• Krichmar, J.L.
灵活的规划对于实现目标和适应条件变化是必要的。我们引入了一个生物学上合理的路径规划模型，它可以学习环境，快速适应变化，并规划通往目标的有效路线。我们的模型解决了面临不确定性时的决策过程。我们在迷宫中对人类和啮齿动物导航的模拟中测试了该模型。就像人类和老鼠一样，该模型能够产生新的捷径，并在熟悉的路线被阻塞时绕道而行。与啮齿动物海马体记录类似，该模型的神经活动类似于早期学习期间或不确定条件下的替代性试错（VTE）的神经相关性，并预测学习后的未来路径。我们建议，静脉血栓栓塞，除了权衡可能的结果，是一种方式，代理人可以收集信息供将来使用。
Flexible planning is necessary for reaching goals and adapting when conditions change. We introduce a biologically plausible path planning model that learns its environment, rapidly adapts to change, and plans efficient routes to goals. Our model addresses the decision-making process when faced with uncertainty. We tested the model in simulations of human and rodent navigation in mazes. Like the human and rat, the model was able to generate novel shortcuts, and take detours when familiar routes were blocked. Similar to rodent hippocampus recordings, the neural activity of the model resembles neural correlates of Vicarious Trial and Error (VTE) during early learning or during uncertain conditions and preplay predicting a future path after learning. We suggest that VTE, in addition to weighing possible outcomes, is a way in which an agent may gather information for future use.