轨道前皮层的高效价值合成解释了损失厌恶如何适应收益和损失前景的范围
Jules Brochard1,2,3, Jean Daunizeau1,2,3
1Sorbonne Université, Paris, France.
eLife
|December 9, 2024
概括
神经处理的约束会导致不合理的博决策. 人工神经网络中的自我组织可塑性适应价值范围,解释行为变化和决策中的大脑活动.
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.
- 行为经济学是一种行为经济学.
背景情况:
- 决策中的非理性行为可能源于神经信息处理中的生物限制.
- 博决策整合了潜在的收益和损失,由于神经元发射范围有限,这给神经计算带来了挑战.
研究的目的:
- 调查神经处理约束,特别是有限的射击响应范围,是否导致博决策中的非理性行为.
- 探索人工神经网络中自组织可塑性的作用,以实现高效的价值合成和范围适应.
- 为了确定收益和损失范围如何影响行为敏感性和神经信息内容.
主要方法:
- 开发了人工神经网络,在神经元射程限制下模拟价值合成.
- 利用自我组织的可塑性来缓解神经网络中的信息损失.
- 分析了两个fMRI数据集 (OpenNeuro.org),检查了与不同获利前景范围的博决策.
主要成果:
- 人工神经网络中的自我组织的可塑性导致值范围的适应,模仿观察到的行为变化.
- 行为损失厌恶适应了经验中的收益前景的范围.
- 轨道前皮层 (布罗德曼区域11) 编码的收益和预期价值是通过收益前景范围调节的.
- 人工神经网络在增益环境中进行概括,并在轨道前皮层中预测神经信息几何.
结论:
- 自组织的可塑性,旨在克服神经信息处理的局限性,可以导致值范围的适应.
- 这种适应机制解释了看似不合理的行为是如何从生物约束中出现的.
- 研究结果将神经处理约束,可塑性和决策偏见联系起来.
相关概念视频
Decision Making: P-value Method
5.3K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.3K
The Anchoring-and-Adjustment Heuristic
7.2K
In order to make good decisions, we use our knowledge and our reasoning. Often, this knowledge and reasoning is sound and solid. However, sometimes, we are swayed by biases or by others manipulating a situation. For example, let’s say you and three friends wanted to rent a house and had a combined target budget of $1,600. The realtor shows you only very run-down houses for $1,600 and then shows you a very nice house for $2,000. Might you ask each person to pay more in rent to get the...
7.2K
Framing Effects
7.3K
Information is everywhere and its presentation—such as how and when items are presented—can impact our perceptions and decisions surrounding the info. This broad concept umbrellas framing effects—influences that occur due to the way information is framed in its appearance, whether it’s purely the order or the specific wording of a message. Let’s take a look at numerous ways in which two versions of something can objectively say the same thing, yet we respond in...
7.3K
Hindsight Biases
3.4K
Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now?
3.4K
Self-Discrepancy Theory
18.3K
One influential perspective on what motivates people's behavior is detailed in Tory Higgin's self-discrepancy theory (Higgins, 1987). He proposed that people hold disagreeing internal representations of themselves that lead to different emotional states.
18.3K
Expected Value
3.8K
The expected value is known as the "long-term" average or mean. This means that over the long term of experimenting over and over, you would expect this average. The expected average is represented by the symbol μ. It is calculated as follows:
3.8K


