AIMC Topic: Computer Simulation

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Assessing simulation-based supervised machine learning for demographic parameter inference from genomic data.

Heredity
The ever-increasing availability of high-throughput DNA sequences and the development of numerous computational methods have led to considerable advances in our understanding of the evolutionary and demographic history of populations. Several demogra...

Self-organising bio-inspired reflex circuits for robust motor coordination in artificial musculoskeletal systems.

Bioinspiration & biomimetics
Artificial musculoskeletal systems mimic mammalian biomechanics using antagonistic muscles and rigid skeletons. They offer benefits such as adjustable stiffness, back-drivability, and muscle failure tolerance but are difficult to model and control du...

Dynamics and design of passive tails for enhanced stability of motion.

Bioinspiration & biomimetics
In this work, we study the nonlinear dynamics of tail motion using numerical simulations and experiments. Our simulations are based on a discrete model comprising rigid cylinders (representing vertebrae) coupled by longitudinal, shear, and bending sp...

Optimization of hemocompatibility metrics in ventricular assist device design using machine learning and CFD-based response surface analysis.

The International journal of artificial organs
Ventricular assist devices (VADs) are essential for end-stage heart failure patients, but their design must balance hydraulic efficiency and hemocompatibility to minimize blood damage. This study presents a multi-objective optimization framework inte...

Monitoring strategies for continuous evaluation of deployed clinical prediction models.

Journal of biomedical informatics
OBJECTIVE: As machine learning adoption in clinical practice continues to grow, deployed classifiers must be continuously monitored and updated (retrained) to protect against data drift that stems from inevitable changes, including evolving medical p...

Encoding flexible gait strategies in stick insects through data-driven inverse reinforcement learning.

Bioinspiration & biomimetics
Stick insects exhibit remarkable adaptive walking capabilities across diverse environments; however, the mechanisms underlying their gait transitions remain poorly understood. Although reinforcement learning (RL) has been employed to generate insect-...

Underwater bionic undulating fins incorporating thickness effects: hydrodynamic performance and optimal thickness variation rate analysis.

Bioinspiration & biomimetics
In response to the urgent issues faced by current bionic undulating fin robot propulsion mechanisms, such as low working efficiency, insufficient swimming speed, ignoring thickness parameters, and the need for further improvement in biomimetic degree...

Identifying dynamic regulation with machine learning using adversarial surrogates.

PloS one
Biological systems maintain stability of their function in spite of external and internal perturbations. An important challenge in studying biological regulation is to identify the control objectives based on empirical data. Very often these objectiv...

Amortized template matching of molecular conformations from cryoelectron microscopy images using simulation-based inference.

Proceedings of the National Academy of Sciences of the United States of America
Characterizing the conformational ensemble of biomolecular systems is key to understand their functions. Cryoelectron microscopy (cryo-EM) captures two-dimensional snapshots of biomolecular ensembles, giving in principle access to thermodynamics. How...

Decreased spinal inhibition leads to undiversified locomotor patterns.

Biological cybernetics
During walking and running, animals display rich and coordinated motor patterns that are generated and controlled within the central nervous system. Previous computational and experimental results suggest that the balance between excitation and inhib...