下载 Recollect the Study - v2.41

您听说过Recollect the Study - v2.41或 Cooking Mama v1.76.0 MOD APK (无限 Gold 硬币) MOD APK, Pepi Wonder World v6.0.35 MOD APK (All 已解锁) MOD APK, Toca Life: World v1.41 MOD APK + OBB (All 已解锁) MOD APK, My Town Hospital Mod Full v2.65 MOD APK, HEY CLAY®, Pepi House Happy Family Mod (已解锁) MOD APK，是类别教育中最酷的游戏之一。

当然，您知道并非所有游戏或应用程序都兼容所有手机。游戏或应用程序有时在您的设备上不可用，这取决于系统版本。Android操作系统，屏幕分辨率或国家/地区Google Play允许访问。这就是APKPanda提供Android APK文件供您下载且不遵守这些限制的原因。>
Recollect the Study - v2.41的最新版本为2.41，发行日期为2020-11-07，大小为99.3 MB。由Brain Game Center at UCR开发，Recollect the Study - v2.41至少需要Android版本Android 5.0+。因此，如有必要，您必须更新手机。

负载量很大，大约有1000次下载。您可以根据需要更新已单独下载或安装在Android设备上的应用程序。更新应用程序使您可以访问最新功能，并提高应用程序的安全性和稳定性。

This is the Study Release of Recollect, for scientific research.

Recollect is a working memory training game produced by the University of California Riverside (UCR) Brain Game Center for Mental Fitness and Well-being; A research unit focused on brain fitness methods and applications. Recollect is our third installment of memory training games, and is highly premised upon empirical data derived from its predecessors. Recollect maintains the effective framework of previous installments, but takes a leap forward by incorporating additional cognitive challenges and features intended to generalize the effectiveness of the program into a side-scrolling platformer.

Recollect has been designed for all age groups interested in fun and effective brain-training. Based on over a decade of cognitive and neuroscience research, Recollect incorporates scientifically supported renditions of N-Back, Item Span, and Multiple-Identity tracking tasks. These tasks are independently shown to improve working memory in a manner that transfers to untrained tasks.

Recollect is the product of a multi-faceted research project to answer questions related to working memory improvement, brain plasticity, and issues surrounding attention and reinforcement within cognitive training programs. Players are immersed into a game environment where they must perform and improve upon different cognitive tasks in order to advance to new realms and unlock advanced features. Our cognitive tasks are coupled together in a reward based framework that reinforces user adherence to the program and maintain training efficacy.

-Many bug fixes-New algorithms for Span