Department of Psychological and Brain Sciences, The University of Iowa, Iowa City, Iowa 52242.
Hippocampus. 2018 Jun;28(6):392-405. doi: 10.1002/hipo.22839. Epub 2018 Mar 7.
The hippocampus may play a role in categorization because of the need to differentiate stimulus categories (pattern separation) and to recognize category membership of stimuli from partial information (pattern completion). We hypothesized that the hippocampus would be more crucial for categorization of low-density (few relevant features) stimuli-due to the higher demand on pattern separation and pattern completion-than for categorization of high-density (many relevant features) stimuli. Using a touchscreen apparatus, rats were trained to categorize multiple abstract stimuli into two different categories. Each stimulus was a pentagonal configuration of five visual features; some of the visual features were relevant for defining the category whereas others were irrelevant. Two groups of rats were trained with either a high (dense, n = 8) or low (sparse, n = 8) number of category-relevant features. Upon reaching criterion discrimination (≥75% correct, on 2 consecutive days), bilateral cannulas were implanted in the dorsal hippocampus. The rats were then given either vehicle or muscimol infusions into the hippocampus just prior to various testing sessions. They were tested with: the previously trained stimuli (trained), novel stimuli involving new irrelevant features (novel), stimuli involving relocated features (relocation), and a single relevant feature (singleton). In training, the dense group reached criterion faster than the sparse group, indicating that the sparse task was more difficult than the dense task. In testing, accuracy of both groups was equally high for trained and novel stimuli. However, both groups showed impaired accuracy in the relocation and singleton conditions, with a greater deficit in the sparse group. The testing data indicate that rats encode both the relevant features and the spatial locations of the features. Hippocampal inactivation impaired visual categorization regardless of the density of the category-relevant features for the trained, novel, relocation, and singleton stimuli. Hippocampus-mediated pattern completion and pattern separation mechanisms may be necessary for visual categorization involving overlapping irrelevant features.
海马体可能在分类中发挥作用,因为需要区分刺激类别(模式分离),并从部分信息中识别刺激的类别成员(模式完成)。我们假设,由于对模式分离和模式完成的要求更高,海马体对于低密度(特征较少)刺激的分类比对高密度(特征较多)刺激的分类更为关键。使用触摸屏设备,训练大鼠将多个抽象刺激分为两个不同的类别。每个刺激都是五个视觉特征的五角形配置;一些视觉特征与定义类别有关,而其他则无关。两组大鼠接受了高(密集,n=8)或低(稀疏,n=8)数量的类别相关特征的训练。达到标准辨别力(≥75%正确,连续两天)后,在背侧海马体植入双侧套管。然后,在各种测试前,向大鼠海马体中给予载体或毒蕈碱输注。他们接受了以下测试:以前训练过的刺激(训练)、涉及新无关特征的新刺激(新)、涉及特征重新定位的刺激(重新定位)和单个相关特征(单特征)。在训练中,密集组比稀疏组更快达到标准,表明稀疏任务比密集任务更难。在测试中,两组对训练和新刺激的准确性都很高。然而,两组在重新定位和单特征条件下的准确性都受到损害,稀疏组的缺陷更大。测试数据表明,大鼠既对相关特征进行编码,又对特征的空间位置进行编码。海马体失活无论对训练、新、重新定位和单特征刺激的类别相关特征的密度如何,都会损害视觉分类。海马体介导的模式完成和模式分离机制可能是涉及重叠无关特征的视觉分类所必需的。