下载 Recollect the Study - v2.41

请下载并共享Recollect the Study - v2.41，它是类别教育中的特色游戏之一。
另外，还有一些其他游戏可以作为 Pepi Wonder World v6.0.35 MOD APK (All 已解锁) MOD APK, Pepi Hospital: Learn & Care (MOD, 已解锁 All) MOD APK, Toca Life: World v1.41 MOD APK + OBB (All 已解锁) MOD APK, Cooking Mama v1.76.0 MOD APK (无限 Gold 硬币) MOD APK, XXNX-App, HEY CLAY®下载。如果您对Recollect the Study - v2.41感到满意。

Recollect the Study - v2.41发布，Recollect the Study - v2.41是当今最好的免费和最佳手机应用程序之一。位于应用商店的教育类别中。

Recollect the Study - v2.41的最低操作系统为Android 5.0+及更高版本。因此，如果尚未升级手机，则必须更新。

在APKDroid上，您将免费下载Recollect the Study - v2.41 APK，最新版本为2.41，发布日期为2020-11-07，文件大小为99.3 MB。根据Google Play商店的统计数据，大约有1000次下载。您可以根据需要更新在Android上单独下载或安装的应用。还可以更新您的应用。您可以使用最新功能并提高安全性和应用程序的稳定性。现在就享受它

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