在一个贝叶斯模型的环境恐惧条件化 (BaconREM) 中的远程记忆
Franklin B Krasne1,2, Michael S Fanselow1,2,3
1Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States.
Frontiers in behavioral neuroscience
|March 22, 2024
概括
一种新的远程记忆模型 (BaconREM) 解释了随着时间的推移,恐惧调节如何变得独立于海马. 它还预测了上下文提醒如何扭转这个过程.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 计算精神病学是一种计算精神病学.
背景情况:
- 背景恐惧学习对于生存至关重要.
- 远程记忆通常会独立于海马.
- 现有的模型可以解释最近的恐惧,但不能解释远程的恐惧现象.
研究的目的:
- 提出一个远程上下文恐惧记忆的计算模型 (BaconREM).
- 模拟和预测远程恐惧记忆巩固的关键方面.
- 为了解释海马独立性和随着时间的推移而发生的概括变化.
主要方法:
- 贝叶斯重叠网络 (BACON) 模型的扩展.
- 动物恐惧调节范式的计算模拟.
- 分析不同条件下的记忆巩固和概括.
主要成果:
- 培根REM预测海马独立性和远程恐惧的超一般化.
- 该模型考虑了系统整合对内存的影响.
- 它还预测,提醒可以恢复海马体的依赖性,并减少概括.
结论:
- 培根REM为远程恐惧记忆现象提供了一个统一的解释.
- 该模型表明,远程上下文恐惧记忆可能存在于新皮质中.
- 它为理解记忆巩固和再巩固提供了一个框架.
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