Differential brain mechanisms during reading human vs. machine translated fiction and news texts

Fa-Hsuan Lin1,2,3, Yun-Fei Liu1, Hsin-Ju Lee1,2,4

  • 1Institute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan.

Scientific Reports
|September 15, 2019
PubMed

Related Concept Videos

De novo Identification of Actively Translated Open Reading Frames with Ribosome Profiling Data08:23

De novo Identification of Actively Translated Open Reading Frames with Ribosome Profiling Data

Translating ribosomes decode three nucleotides per codon into peptides. Their movement along mRNA, captured by ribosome profiling, produces the footprints exhibiting characteristic triplet periodicity. This protocol describes how to use RiboCode to decipher this prominent feature from ribosome profiling data to identify actively translated open reading frames at the whole-transcriptome...
4.1K
Mechanical Efficiency of Real Machines01:14

Mechanical Efficiency of Real Machines

The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
However, in reality, no machine can be truly ideal, and all of them experience some...
1.3K
Engineering of Human Blood-Induced Microglia-like Cells for Reverse-Translational Brain Research06:12

Engineering of Human Blood-Induced Microglia-like Cells for Reverse-Translational Brain Research

This study delineates a novel approach for the establishment of human monocyte-derived microglia-like (iMG) cells that enable the indirect assessment of brain inflammation. This presents a cellular model that may be beneficial to research focusing on potential inflammation of the brain and associated neuropsychiatric...
2.0K
A Live-cell Image-Based Machine Learning Strategy to Monitor Pluripotent Stem Cell Differentiation11:38

A Live-cell Image-Based Machine Learning Strategy to Monitor Pluripotent Stem Cell Differentiation

Available pluripotent stem cell (PSC)-to-functional cell differentiation systems are currently impeded by problems of severe line-to-line and batch-to-batch variability. Here, using cardiac differentiation as the main example, we present a protocol to intelligently monitor and modulate the process of PSC differentiation based on image-based machine learning.
1.1K
Derivation of a Human Brain Organoid with Microglia Development10:34

Derivation of a Human Brain Organoid with Microglia Development

We present a protocol to generate a human brain organoid with resident microglia by incorporating Induced pluripotent stem cell (iPSC)-derived hematopoietic progenitor cells (HPCs) into organoid...
1.9K
Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping13:12

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

This article provides an overview of a multi-modal brain mapping program designed to identify regions of the brain that support critical cognitive functions in individual neurosurgery patients.
46.4K