Indecision in Neural Decision Making Models
Indecision in Neural Decision Making Models
复制标题
DOI：
10.1051/mmnp/20105205
复制
发表时间：
2010-01-01
影响因子：
2.2
通讯作者：
Campbell, S. A.
中科院分区：
文献类型：
--
作者：
Milton, J.;Naik, P.;Campbell, S. A.
用于人类决策的计算模型通常基于随机动力系统的属性，其中每个吸引子代表不同的决策。这些模型的一个局限性是，它们不能很容易地解释人类决策的脆弱性，如“在压力下窒息”，优柔寡断和过去的经验对当前决策的作用。在这里，我们研究了两个相互作用的神经种群相互延时抑制模型的动力学。当每个种群的输入足够高时，存在双稳定性，动态由初始函数与分界线（鞍点的稳定流形）的关系决定，分界线将两个共存吸引子的吸引盆分开。决策的后果包括长时间的犹豫不决，其中轨迹被限制在分界线附近和错误的决策，特别是当过去的历史和不相关的信息（“噪音”）的影响包括在内。由于延迟，过去的历史和噪声对非线性动力系统的影响是通用的，我们预计，类似的现象将出现在其他物理，化学和神经时滞系统，表现出双稳态的设置。
Computational models for human decision making are typically based on the properties of bistable dynamical systems where each attractor represents a different decision. A limitation of these models is that they do not readily account for the fragilities of human decision making, such as "choking under pressure", indecisiveness and the role of past experiences on current decision making. Here we examine the dynamics of a model of two interacting neural populations with mutual time-delayed inhibition. When the input to each population is sufficiently high, there is bistability and the dynamics is determined by the relationship of the initial function to the separatrix (the stable manifold of a saddle point) that separates the basins of attraction of two co-existing attractors. The consequences for decision making include long periods of indecisiveness in which trajectories are confined in the neighborhood of the separatrix and wrong decision making, particularly when the effects of past history and irrelevant information ("noise") are included. Since the effects of delay, past history and noise on bistable dynamical systems are generic, we anticipate that similar phenomena will arise in the setting of other physical, chemical and neural time-delayed systems which exhibit bistability.