轨道前额和腹中前额皮层中的表示空间:任务状态,值,以及超越
Nir Moneta1, Shany Grossman2, Nicolas W Schuck3
1Institute of Psychology, Universität Hamburg, 20146 Hamburg, Germany; Einstein Center for Neurosciences Berlin, Charité Universitätsmedizin Berlin, 10117, Berlin, Germany.
轨道前皮层 (OFC) 和腹中前皮层 (vmPFC) 整合了各种信息来进行决策. 它们的复杂表示超越了简单的价值信号,为认知过程提供了洞察力.
科学领域:
- 神经科学是一个神经科学.
- 计算神经科学是一种神经科学.
- 认知科学 认知科学
背景情况:
- 轨道前皮层 (OFC) 和腹中前皮层 (vmPFC) 对于决策至关重要.
- 这些大脑区域不仅编码预期值,还编码任务状态.
研究的目的:
- 审查OFC/vmPFC中连接价值和状态表示的证据.
- 建议OFC/vmPFC整合刺激,背景和结果信息.
- 表明结果最大化导致复杂的表示空间.
主要方法:
- 审查现有的神经科学和计算证据.
- 分析深度强化学习 (RL) 模型中的表示原则.
- 生物系统与人工神经网络之间的编码原理的比较.
主要成果:
- OFC/vmPFC整合了刺激,背景和结果信息.
- 深度RL模型显示了可比的编码原理,具有混合选择性节点.
- 复杂的表示空间是通过结果最大化来塑造的,挑战线性值信号假设.
结论:
- OFC/vmPFC表示比以前以线性值信号为特征的更复杂.
- 深度RL模型为决策回路中的神经计算提供了洞察力.
- 关于跨任务学习,与任务无关的信息编码以及海马-PFC相互作用的突出问题仍然存在.
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