Optimizing stimulus waveforms for electroceuticals
From MaRDI portal
Publication:1734657
DOI10.1007/s00422-018-0774-xzbMath1411.92132DBLPjournals/bc/ChangP19OpenAlexW2887837173WikidataQ57169813 ScholiaQ57169813MaRDI QIDQ1734657
Publication date: 27 March 2019
Published in: Biological Cybernetics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00422-018-0774-x
calculus of variationsoptimization algorithmsstochastic searchelectrical stimulationbioelectronic medicine
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Survey of modeling and optimization strategies to solve high-dimensional design problems with computationally-expensive black-box functions
- Time optimal control of spiking neurons
- When a genetic algorithm outperforms hill-climbing
- Direct and indirect methods for trajectory optimization
- Switching neuronal state: optimal stimuli revealed using a stochastically-seeded gradient algorithm
- Starting, stopping, and resetting biological oscillators: in search of optimum perturbations
- Optimal Chaotic Desynchronization for Neural Populations
- Introduction to Stochastic Search and Optimization
This page was built for publication: Optimizing stimulus waveforms for electroceuticals