IEEE

A Gradient-Based Optimization Algorithm for Optimal Control Problems With General Conformable Fractional Derivatives

Abstract: This paper presents an extended gradient-based optimization framework for optimal control problems governed by general conformable fractional derivatives (GCFDs), which unify various ...
eLife

A differentiable model for optimizing the genetic drivers of synaptogenesis

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
Frontiers

Optimizing hip exoskeleton assistance pattern based on machine learning and simulation algorithms: a personalized approach to metabolic cost reduction

Introduction: Hip exoskeletons can lower the metabolic cost of walking in many tasks and populations, but their assistance patterns must be tailored to each user. We developed a simulation-based, ...
Physicians Committee

Prioritizing Human-Based Research Methods in Women’s Health Research

Research shows that sex differences play a substantial role in health and disease progression. To improve basic and translational science and address the existing gap for women’s health research, ...
Frontiers

Effective methods and framework for energy-based local learning of deep neural networks

From a neuroscience perspective, artificial neural networks are regarded as abstract models of biological neurons, yet they rely on biologically implausible backpropagation for training. Energy-based ...