AIMC Topic: Information Theory
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Application of information theoretic feature selection and machine learning methods for the development of genetic risk prediction models.
Scientific reports
Dec 2, 2021
In view of the growth of clinical risk prediction models using genetic data, there is an increasing need for studies that use appropriate methods to select the optimum number of features from a large number of genetic variants with a high degree of r...
Explainable Molecular Sets: Using Information Theory to Generate Meaningful Descriptions of Groups of Molecules.
Journal of chemical information and modeling
Oct 12, 2021
Algorithmically identifying the meaningful similarities between an assortment of molecules is a critical chemical problem, and one which is only gaining in relevance as data-driven chemistry continues to progress. Effectively addressing this challeng...
The information theory of developmental pruning: Optimizing global network architectures using local synaptic rules.
PLoS computational biology
Oct 11, 2021
During development, biological neural networks produce more synapses and neurons than needed. Many of these synapses and neurons are later removed in a process known as neural pruning. Why networks should initially be over-populated, and the processe...
coupleCoC+: An information-theoretic co-clustering-based transfer learning framework for the integrative analysis of single-cell genomic data.
PLoS computational biology
Jun 2, 2021
Technological advances have enabled us to profile multiple molecular layers at unprecedented single-cell resolution and the available datasets from multiple samples or domains are growing. These datasets, including scRNA-seq data, scATAC-seq data and...
Biology transcends the limits of computation.
Progress in biophysics and molecular biology
May 5, 2021
Cognition-sensing and responding to the environment-is the unifying principle behind the genetic code, origin of life, evolution, consciousness, artificial intelligence, and cancer. However, the conventional model of biology seems to mistake cause an...
A Smartphone Lightweight Method for Human Activity Recognition Based on Information Theory.
Sensors (Basel, Switzerland)
Mar 27, 2020
Smartphones have emerged as a revolutionary technology for monitoring everyday life, and they have played an important role in Human Activity Recognition (HAR) due to its ubiquity. The sensors embedded in these devices allows recognizing human behavi...
Subject-Independent Brain-Computer Interfaces Based on Deep Convolutional Neural Networks.
IEEE transactions on neural networks and learning systems
Nov 13, 2019
For a brain-computer interface (BCI) system, a calibration procedure is required for each individual user before he/she can use the BCI. This procedure requires approximately 20-30 min to collect enough data to build a reliable decoder. It is, theref...
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 ...
Using intersection information to map stimulus information transfer within neural networks.
Bio Systems
Sep 21, 2019
Analytical tools that estimate the directed information flow between simultaneously recorded neural populations, such as directed information or Granger causality, typically focus on measuring how much information is exchanged between such population...
Adaptive Learning Emotion Identification Method of Short Texts for Online Medical Knowledge Sharing Community.
Computational intelligence and neuroscience
Jun 25, 2019
The medical knowledge sharing community provides users with an open platform for accessing medical resources and sharing medical knowledge, treatment experience, and emotions. Compared with the recipients of general commodities, the recipients in the...
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