AIMC Topic: Biological Clocks
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An application of deep learning model InceptionTime to predict nausea, vomiting, diarrhoea, and constipation using the gastro-intestinal pacemaker activity drug database (GIPADD).
Scientific reports
Apr 16, 2025
The accurate preclinical prediction of adverse drug reactions (ADRs), such as nausea and vomiting, remains a challenge. The Gastro-Intestinal Pacemaker Activity Drug Database (GIPADD) ( http://www.gutrhythm.com/public_database ) is a new source of el...
Area Under Curve
Humans
Feasibility Studies
Reproducibility of Results
Drug-Related Side Effects and Adverse Reactions
Gastrointestinal Tract
Constipation
Nausea
Vomiting
Databases, Pharmaceutical
Biological Clocks
Deep Learning
Electrodiagnosis
Big Data
Digestive System Diseases
Diarrhea
Predictive Learning Models
ROC Curve
CPG-based neural control of peristaltic planar locomotion in an earthworm-like robot: evaluation of nonlinear oscillators.
Bioinspiration & biomimetics
Feb 20, 2025
Earthworm-like robots have excellent locomotion capability in confined environments. Central pattern generator (CPG) based controllers utilize the dynamics of coupled nonlinear oscillators to spontaneously generate actuation signals for all segments,...
A miRNA-based epigenetic molecular clock for biological skin-age prediction.
Archives of dermatological research
Jun 1, 2024
Skin aging is one of the visible characteristics of the aging process in humans. In recent years, different biological clocks have been generated based on protein or epigenetic markers, but few have focused on biological age in the skin. Arrest the a...
Organ-specific biological clocks: Ageotyping for personalized anti-aging medicine.
Ageing research reviews
Mar 4, 2024
Aging is a complex multidimensional, progressive remodeling process affecting multiple organ systems. While many studies have focused on studying aging across multiple organs, assessment of the contribution of individual organs to overall aging proce...
Programmable coupled oscillators for synchronized locomotion.
Nature communications
Jul 24, 2019
The striking similarity between biological locomotion gaits and the evolution of phase patterns in coupled oscillatory network can be traced to the role of central pattern generator located in the spinal cord. Bio-inspired robotics aim at harnessing ...
Neural network model of an amphibian ventilatory central pattern generator.
Journal of computational neuroscience
May 22, 2019
The neuronal multiunit model presented here is a formal model of the central pattern generator (CPG) of the amphibian ventilatory neural network, inspired by experimental data from Pelophylax ridibundus. The kernel of the CPG consists of three pacema...
Membrane potential resonance in non-oscillatory neurons interacts with synaptic connectivity to produce network oscillations.
Journal of computational neuroscience
Mar 20, 2019
Several neuron types have been shown to exhibit (subthreshold) membrane potential resonance (MPR), defined as the occurrence of a peak in their voltage amplitude response to oscillatory input currents at a preferred (resonant) frequency. MPR has been...
Abnormal Low-Frequency Oscillations Reflect Trait-Like Pain Ratings in Chronic Pain Patients Revealed through a Machine Learning Approach.
The Journal of neuroscience : the official journal of the Society for Neuroscience
Jul 16, 2018
Measures of moment-to-moment fluctuations in brain activity of an individual at rest have been shown to be a sensitive and reliable metric for studying pathological brain mechanisms across various chronic pain patient populations. However, the relati...
Unsupervised Learning in an Ensemble of Spiking Neural Networks Mediated by ITDP.
PLoS computational biology
Oct 19, 2016
We propose a biologically plausible architecture for unsupervised ensemble learning in a population of spiking neural network classifiers. A mixture of experts type organisation is shown to be effective, with the individual classifier outputs combine...
Global oscillation regime change by gated inhibition.
Neural networks : the official journal of the International Neural Network Society
Jul 18, 2016
The role of sensory inputs in the modelling of synchrony regimes is exhibited by means of networks of spiking cells where the relative strength of the inhibitory interaction is controlled by the activation of a linear unit working as a gating variabl...
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