AIMC Topic: Computer Simulation
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Complexities of feature-based learning systems, with application to reservoir computing.
Neural networks : the official journal of the International Neural Network Society
Nov 9, 2024
This paper studies complexity measures of reservoir systems. For this purpose, a more general model that we call a feature-based learning system, which is the composition of a feature map and of a final estimator, is studied. We study complexity meas...
Outer synchronization and outer H synchronization for coupled fractional-order reaction-diffusion neural networks with multiweights.
Neural networks : the official journal of the International Neural Network Society
Nov 9, 2024
This paper introduces multiple state or spatial-diffusion coupled fractional-order reaction-diffusion neural networks, and discusses the outer synchronization and outer H synchronization problems for these coupled fractional-order reaction-diffusion ...
Exploring the spatial effects influencing the EGFR/ERK pathway dynamics with machine learning surrogate models.
Bio Systems
Nov 7, 2024
The fate of cells is regulated by biochemical reactions taking place inside of them, known as intracellular pathways. Cells display a variety of characteristics related to their shape, structure and contained fluid, which influences the diffusion of ...
Synergistic biophysics and machine learning modeling to rapidly predict cardiac growth probability.
Computers in biology and medicine
Nov 7, 2024
Computational models that can predict growth and remodeling of the heart could have important clinical applications. However, the time it takes to calibrate and run current models while considering data uncertainty and variability makes them impracti...
In silico formulation optimization and particle engineering of pharmaceutical products using a generative artificial intelligence structure synthesis method.
Nature communications
Nov 7, 2024
Pharmaceutical drug dosage forms are critical for ensuring the effective and safe delivery of active pharmaceutical ingredients to patients. However, traditional formulation development often relies on extensive lab and animal experimentation, which ...
Enhancing postural stability in musculoskeletal quadrupedal locomotion through tension feedback for CPG-based controller.
Bioinspiration & biomimetics
Nov 7, 2024
A central pattern generator (CPG)-based controller enhances the adaptability of quadrupedal locomotion, for example, by controlling the trunk posture. The conventional CPG-based controllers with attitude control often utilized the posture angle as fe...
Barrier-critic-disturbance approximate optimal control of nonzero-sum differential games for modular robot manipulators.
Neural networks : the official journal of the International Neural Network Society
Nov 6, 2024
In this paper, for addressing the safe control problem of modular robot manipulators (MRMs) system with uncertain disturbances, an approximate optimal control scheme of nonzero-sum (NZS) differential games is proposed based on the control barrier fun...
Deep generative design of RNA aptamers using structural predictions.
Nature computational science
Nov 6, 2024
RNAs represent a class of programmable biomolecules capable of performing diverse biological functions. Recent studies have developed accurate RNA three-dimensional structure prediction methods, which may enable new RNAs to be designed in a structure...
During haptic communication, the central nervous system compensates distinctly for delay and noise.
PLoS computational biology
Nov 6, 2024
Physically connected humans have been shown to exploit the exchange of haptic forces and tactile information to improve their performance in joint action tasks. As human interactions are increasingly mediated through robots and networks it is importa...
Global practical finite-time synchronization of disturbed inertial neural networks by delayed impulsive control.
Neural networks : the official journal of the International Neural Network Society
Nov 4, 2024
This paper delves into the practical finite-time synchronization (FTS) problem for inertial neural networks (INNs) with external disturbances. Firstly, based on Lyapunov theory, the local practical FTS of INNs with bounded external disturbances can b...
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