Particle swarm optimization (PSO) algorithm to identify parameter values of model C-fiber axons and meet performance criteria.

<p>The evaluation, election, and update steps are repeated until termination criteria are met.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Brandon J. Thio (5351147) (author)
مؤلفون آخرون:	Nathan D. Titus (19812818) (author), Nicole A. Pelot (5351144) (author), Warren M. Grill (8627772) (author)
منشور في:	2024
الموضوعات:	Biophysics Medicine Cell Biology Genetics Neuroscience Biotechnology Biological Sciences not elsewhere classified voltage clamp data simple conduction responses play key roles ion channel expression design bioelectronic devices complicated conduction response similar membrane properties differential membrane properties fiber conduction responses particle swarm optimization fiber membrane properties action potential duration study autonomic signaling reverse engineer c action potential firing properties fiber models model optimization vast majority unmyelinated c signaling pain peripheral nerves novel library measured autonomic intracellular threshold generate models fibers constitute dependent slowing cutaneous c basis functions
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