Assistant Professor Christopher L. Asplund from the N.1 Institute for Health (N.1) of NUS, which was formerly the Singapore Institute for Neurotechnology (SINAPSE), was published in the journal Advanced Therapeutics on 22 May 2019.
Limitations of traditional cognitive training
Traditional learning approaches often rely on repetition, where participants are continuously trained under the same level of intensity, or steadily increasing intensity levels over time. While such approaches can result in improved performance, they may not achieve optimal outcomes in every participant. In addition, the best trajectory of improvement will be specific to the individual, and the task needs to be adjusted to fit the individual.
Over the years, several approaches to improve cognitive performance have been studied, ranging from drug treatments to video games and mental exercises. More recently, the field of digital therapeutics has emerged, with mobile applications being explored as replacements for drug treatments.
"Everyone is unique, so when it comes to training or learning, performance outcomes will certainly vary substantially from person to person. Harnessing technology to enhance learning is a good way to address the challenges confounding conventional learning approaches. What is lacking is approaches that can properly attune each user's performance to drive rapid training improvement. This is where CURATE.AI can come in to plug the gap," shared Prof Ho, who is the Director of N.1, and also a Provost's Chair Professor from the Biomedical Engineering and Pharmacology departments at NUS, as well as a member of the Biomedical Institute for Global Health Research and Technology (BIGHEART) at NUS.
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