心理模拟的神经基础:在动态场景上的潜在表现的未来预测
Aran Nayebi1, Rishi Rajalingham1,2, Mehrdad Jazayeri1,3
1McGovern Institute for Brain Research, MIT; Cambridge, MA 02139.
ArXiv
|June 9, 2023
概括
预测未来事件的神经计算是复杂的. 我们的研究表明,在动态视频基础模型中预测未来状态的模型最能匹配人类和神经预测,这表明了体现AI的优化视觉表示.
科学领域:
- 认知神经科学 认知神经科学
- 人工智能的人工智能
- 计算神经科学是一种神经科学.
背景情况:
- 人类和动物拥有复杂的物理世界理解,用于预测和规划.
- 未来状态推断和行动预测的基础的神经机制仍然在很大程度上是未知的.
结论:
- 未来状态的神经预测最好通过利用动态场景基础模型的可重复使用视觉表示的模型来解释.
- 灵长类精神模拟表现出诱导偏见,与对体内人工智能的优化一致.
- 为各种传感运动任务优化的基础模型在复制人类行为和神经动态方面表现出有希望.
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