AIMC Topic: Information Theory

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Acute caffeine administration affects zebrafish response to a robotic stimulus.

Behavioural brain research Apr 20, 2015
Zebrafish has been recently proposed as a valid animal model to investigate the fundamental mechanisms regulating emotional behavior and evaluate the modulatory effects exerted by psychoactive compounds. In this study, we propose a novel methodologic...
Information Theory Robotics Behavior, Animal Zebrafish Social Behavior Caffeine Animals Anxiety
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Using trend templates in a neonatal seizure algorithm improves detection of short seizures in a foetal ovine model.

Physiological measurement Feb 5, 2015
Seizures below one minute in duration are difficult to assess correctly using seizure detection algorithms. We aimed to improve neonatal detection algorithm performance for short seizures through the use of trend templates for seizure onset and end. ...
Information Theory Disease Models, Animal Time Factors Fetal Hypoxia Electroencephalography Support Vector Machine Sheep, Domestic Brain Seizures Signal Processing, Computer-Assisted Animals Asphyxia
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Understanding Networks of Computing Chemical Droplet Neurons Based on Information Flow.

International journal of neural systems Dec 4, 2014
In this paper, we present general methods that can be used to explore the information processing potential of a medium composed of oscillating (self-exciting) droplets. Networks of Belousov-Zhabotinsky (BZ) droplets seem especially interesting as che...
Algorithms Computer Simulation Microfluidics Video Recording Diffusion Neural Networks, Computer Information Theory Periodicity Linear Models Entropy
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Evaluating an information theoretic approach for selecting multimodal data fusion methods.

Journal of biomedical informatics Jul 1, 2025
OBJECTIVE: Interest has grown in combining radiology, pathology, genomic, and clinical data to improve the accuracy of diagnostic and prognostic predictions toward precision health. However, most existing works choose their datasets and modeling appr...
Lung Neoplasms Humans Genomics Algorithms Prognosis Prostatic Neoplasms Carcinoma, Non-Small-Cell Lung Medical Informatics Male Glioblastoma Information Theory
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Synthetic data in machine learning for medicine and healthcare.

Nature biomedical engineering Jun 1, 2021
The proliferation of synthetic data in artificial intelligence for medicine and healthcare raises concerns about the vulnerabilities of the software and the challenges of current policy.
Delivery of Health Care Diagnosis, Computer-Assisted Diagnostic Imaging Humans Machine Learning Kidney Neoplasms Datasets as Topic Carcinoma, Renal Cell Synthetic Biology Quality Control Image Interpretation, Computer-Assisted Information Theory
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DNA Steganalysis Using Deep Recurrent Neural Networks.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2019
Recent advances in next-generation sequencing technologies have facilitated the use of deoxyribonucleic acid (DNA) as a novel covert channels in steganography. There are various methods that exist in other domains to detect hidden messages in convent...
Information Theory Communications Media Sequence Analysis, DNA DNA Humans Neural Networks, Computer Deep Learning Computational Biology
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Information theory and robotics meet to study predator-prey interactions.

Chaos (Woodbury, N.Y.) Jul 1, 2017
Transfer entropy holds promise to advance our understanding of animal behavior, by affording the identification of causal relationships that underlie animal interactions. A critical step toward the reliable implementation of this powerful information...
Predatory Behavior Information Theory Entropy Motor Activity Animals Time Factors Zebrafish Fishes Robotics
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