The Edmond and Lilly Safra Center for Brain Sciences, Hebrew University of Jerusalem, Jerusalem, Israel.
Department of Cognitive and Brain Sciences, Department of Computer Science, Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beersheba, Israel.
PLoS Comput Biol. 2020 Feb 3;16(2):e1007065. doi: 10.1371/journal.pcbi.1007065. eCollection 2020 Feb.
The limited capacity of recent memory inevitably leads to partial memory of past stimuli. There is also evidence that behavioral and neural responses to novel or rare stimuli are dependent on one's memory of past stimuli. Thus, these responses may serve as a probe of different individuals' remembering and forgetting characteristics. Here, we utilize two lossy compression models of stimulus sequences that inherently involve forgetting, which in addition to being a necessity under many conditions, also has theoretical and behavioral advantages. One model is based on a simple stimulus counter and the other on the Information Bottleneck (IB) framework which suggests a more general, theoretically justifiable principle for biological and cognitive phenomena. These models are applied to analyze a novelty-detection event-related potential commonly known as the P300. The trial-by-trial variations of the P300 response, recorded in an auditory oddball paradigm, were subjected to each model to extract two stimulus-compression parameters for each subject: memory length and representation accuracy. These parameters were then utilized to estimate the subjects' recent memory capacity limit under the task conditions. The results, along with recently published findings on single neurons and the IB model, underscore how a lossy compression framework can be utilized to account for trial-by-trial variability of neural responses at different spatial scales and in different individuals, while at the same time providing estimates of individual memory characteristics at different levels of representation using a theoretically-based parsimonious model.
近期记忆的有限容量不可避免地导致对过去刺激的部分记忆。还有证据表明,对新颖或罕见刺激的行为和神经反应取决于一个人对过去刺激的记忆。因此,这些反应可以作为不同个体记忆和遗忘特征的探针。在这里,我们利用两种固有涉及遗忘的刺激序列的有损压缩模型,除了在许多条件下是必要的之外,它们还具有理论和行为上的优势。一个模型基于简单的刺激计数器,另一个基于信息瓶颈 (IB) 框架,该框架为生物和认知现象提供了一个更通用、理论上合理的原则。这些模型被应用于分析一种通常称为 P300 的新奇探测事件相关电位。在听觉Oddball 范式中记录的 P300 反应的逐次试验变化,被应用于每个模型,以从每个受试者中提取两个刺激压缩参数:记忆长度和表示精度。然后,这些参数被用于估计受试者在任务条件下的近期记忆容量极限。这些结果,以及最近关于单个神经元和 IB 模型的发现,强调了如何利用有损压缩框架来解释不同空间尺度和不同个体的神经反应的逐次试验变化,同时使用基于理论的简约模型在不同的表示水平上提供个体记忆特征的估计。