Gershman Samuel J
Department of Psychology and Center for Brain Science, Kempner Institute for the Study of Natural and Artificial Intelligence, Harvard University, Cambridge, MA 02138, USA.
iScience. 2024 Jul 16;27(8):110523. doi: 10.1016/j.isci.2024.110523. eCollection 2024 Aug 16.
Habituation, the reduction of responding to repetitive stimuli, is often conceptualized as a kind of attentional filter, amplifying salient signals at the expense of non-salient signals. No prior account has explicitly formalized filtering principles that can explain the major characteristics of habituation. In this paper, a simple probabilistic model is developed which permits analysis of the optimal filtering problem. This model exhibits the major characteristics of habituation, while also shedding light on other, relatively neglected, characteristics. These results demonstrate that habituation can be understood as a form of optimal filtering.
习惯化，即对重复刺激反应的减少，通常被概念化为一种注意力过滤器，以牺牲非显著信号为代价来增强显著信号。以前没有任何解释明确地将能够解释习惯化主要特征的过滤原则形式化。在本文中，我们开发了一个简单的概率模型，该模型允许对最优过滤问题进行分析。这个模型展现了习惯化的主要特征，同时也揭示了其他相对被忽视的特征。这些结果表明，习惯化可以被理解为一种最优过滤形式。
