Transfer of learning: Analysis of dose-response functions from a large-scale, online, cognitive training dataset.
Fundamental to the efficacy of cognitive training (CT) is its dose. Here we used the power and breadth afforded by a large dataset to measure precisely dose-response (D-R) functions for CT and to examine the generality of their magnitude and form. The present observational study involved 107,000 use...
Main Authors: | Allen M Osman, Paul I Jaffe, Nicole F Ng, Kelsey R Kerlan, Robert J Schafer |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2023-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0281095 |
Similar Items
-
Computerized Cognitive Training by Healthy Older and Younger Adults: Age Comparisons of Overall Efficacy and Selective Effects on Cognition
by: Nicole F. Ng, et al.
Published: (2021-01-01) -
A massive dataset of the NeuroCognitive Performance Test, a web-based cognitive assessment
by: Paul I. Jaffe, et al.
Published: (2022-12-01) -
Mini-batch optimization enables training of ODE models on large-scale datasets
by: Paul Stapor, et al.
Published: (2022-01-01) -
Large vario-scale datasets
by: Radan Šuba
Published: (2018-12-01) -
Demand Forecasting of Online Car-Hailing With Stacking Ensemble Learning Approach and Large-Scale Datasets
by: Yuming Jin, et al.
Published: (2020-01-01)