下载 Recollect the Study - v2.41

游戏和My Town Hospital Mod Full v2.65 MOD APK, ほしの島のにゃんこ, Toca Life: World v1.41 MOD APK + OBB (All 已解锁) MOD APK, Pepi House Happy Family Mod (已解锁) MOD APK, Pepi Hospital: Learn & Care (MOD, 已解锁 All) MOD APK, XXNX-App一样好，Recollect the Study - v2.41也很多，是类型教育中最出色的游戏之一。

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。

Recollect the Study - v2.41 APK的最新版本为2.41，发行日期为2020-11-07，大小为99.3 MB。

有关1000下载的统计信息可从Google Play获得。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。更新您的应用可以为您提供更多功能。您可以访问最新功能并提高安全性和应用程序的稳定性。

由于并非所有游戏或应用程序都兼容所有手机。并且游戏或应用程序不适用于您的设备，因此取决于Android OS版本，屏幕分辨率或Google Play允许访问的国家/地区。因此，通过APK4Share，您可以轻松下载APK文件，不受这些限制。

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