AIMC Topic: Reading
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Deep Artificial Neural Networks Reveal a Distributed Cortical Network Encoding Propositional Sentence-Level Meaning.
The Journal of neuroscience : the official journal of the Society for Neuroscience
Mar 22, 2021
Understanding how and where in the brain sentence-level meaning is constructed from words presents a major scientific challenge. Recent advances have begun to explain brain activation elicited by sentences using vector models of word meaning derived ...
Neural Encoding and Decoding With Distributed Sentence Representations.
IEEE transactions on neural networks and learning systems
Feb 4, 2021
Building computational models to account for the cortical representation of language plays an important role in understanding the human linguistic system. Recent progress in distributed semantic models (DSMs), especially transformer-based methods, ha...
Reading
Temporal Lobe
Occipital Lobe
Deep Learning
Brain
Image Processing, Computer-Assisted
Computer Simulation
Magnetic Resonance Imaging
Humans
Language
Natural Language Processing
Semantics
Neural Networks, Computer
Reproducibility of Results
Brain-Computer Interfaces
Algorithms
Cerebral Cortex
Linguistics
Preictal state detection using prodromal symptoms: A machine learning approach.
Epilepsia
Jan 19, 2021
A reliable identification of a high-risk state for upcoming seizures may allow for preemptive treatment and improve the quality of patients' lives. We evaluated the ability of prodromal symptoms to predict preictal states using a machine learning (ML...
Area Under Curve
Electroencephalography
Seizures
Attention
Surveys and Questionnaires
Support Vector Machine
Vision Disorders
Noise
Hearing Loss
Reading
Drug Resistant Epilepsy
Prodromal Symptoms
Video Recording
Tinnitus
Affect
Comprehension
Humans
Machine Learning
Female
Young Adult
Adult
Male
Middle Aged
Speech
Photophobia
Predicting risk of dyslexia with an online gamified test.
PloS one
Dec 2, 2020
Dyslexia is a specific learning disorder related to school failure. Detection is both crucial and challenging, especially in languages with transparent orthographies, such as Spanish. To make detecting dyslexia easier, we designed an online gamified ...
How to read and review papers on machine learning and artificial intelligence in radiology: a survival guide to key methodological concepts.
European radiology
Oct 1, 2020
In recent years, there has been a dramatic increase in research papers about machine learning (ML) and artificial intelligence in radiology. With so many papers around, it is of paramount importance to make a proper scientific quality assessment as t...
Behavioral Activity Recognition Based on Gaze Ethograms.
International journal of neural systems
Jun 9, 2020
Noninvasive behavior observation techniques allow more natural human behavior assessment experiments with higher ecological validity. We propose the use of gaze ethograms in the context of user interaction with a computer display to characterize the ...
AI for reading screening mammograms: the need for circumspection.
European radiology
Apr 21, 2020
• The studies on AI reading of screening mammograms have methodological limitations that undermine the conclusion that AI could do better than radiologists. • These studies do not informon numbers of extra breast cancers found by AI that could repres...
Deep learning-based interpretation of basal/acetazolamide brain perfusion SPECT leveraging unstructured reading reports.
European journal of nuclear medicine and molecular imaging
Jan 7, 2020
PURPOSE: Basal/acetazolamide brain perfusion single-photon emission computed tomography (SPECT) has been used to evaluate functional hemodynamics in patients with carotid artery stenosis. We aimed to develop a deep learning model as a support system ...
Evaluating information-theoretic measures of word prediction in naturalistic sentence reading.
Neuropsychologia
Sep 22, 2019
We review information-theoretic measures of cognitive load during sentence processing that have been used to quantify word prediction effort. Two such measures, surprisal and next-word entropy, suffer from shortcomings when employed for a predictive ...
Is Machine Translation a Reliable Tool for Reading German Scientific Databases and Research Articles?
Journal of chemical information and modeling
Oct 25, 2018
A significant number of published databases and research papers exist in foreign languages and remain untranslated to date. Important sources of primary scientific information in German are Beilstein Handbuch der Organischen Chemie, Gmelin Handbuch d...
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