Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

The first epidemiological study of presymptomatic type 1 diabetes among first-degree relatives in Japan: PREP-T1D study.

Diabetes research and clinical practice·2026

Same author

Consensus statement on novel glucose-related metrics obtained through advanced medical devices: English version.

Diabetology international·2025

Same author

Exercise performance in well-trained male mice is promoted by intermittent hyperoxia via improving metabolic properties and capillary profiles.

Physiological reports·2025

Same author

Pylephlebitis Presenting with Altered Consciousness Secondary to Hyperammonemia.

The American journal of medicine·2025

Same author

ICP-MS determination of background I-129 in seaweed samples around Fukushima Daiichi NPS.

Radiation protection dosimetry·2024

Same author

Clinical significance of coefficient of variation in continuous glucose monitoring for glycemic management in children and adolescents with type 1 diabetes.

Journal of diabetes investigation·2024

Search research articles

Related Experiment Video

Updated: Apr 23, 2026

Author Spotlight: An Optimized Automated Method for Investigating Retinoic Acid Receptors in Neuronal Mitochondria

Author Spotlight: An Optimized Automated Method for Investigating Retinoic Acid Receptors in Neuronal Mitochondria

Published on: July 28, 2023

A nonparametric stochastic optimizer for TDMA-based neuronal signaling.

Junichi Suzuki, Dũng H Phan, Harry Budiman

IEEE Transactions on Nanobioscience

|September 30, 2014

Summary

This study optimizes nano/micro-machine networks using neurons as a communication channel. It develops a novel method for robust, high-performance Time Division Multiple Access (TDMA) configurations in noisy biological environments.

More Related Videos

Modeling Fast-scan Cyclic Voltammetry Data from Electrically Stimulated Dopamine Neurotransmission Data Using QNsim1.0

Modeling Fast-scan Cyclic Voltammetry Data from Electrically Stimulated Dopamine Neurotransmission Data Using QNsim1.0

Published on: June 5, 2017

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

Published on: March 25, 2014

Related Experiment Videos

Last Updated: Apr 23, 2026

Author Spotlight: An Optimized Automated Method for Investigating Retinoic Acid Receptors in Neuronal Mitochondria

Author Spotlight: An Optimized Automated Method for Investigating Retinoic Acid Receptors in Neuronal Mitochondria

Published on: July 28, 2023

Modeling Fast-scan Cyclic Voltammetry Data from Electrically Stimulated Dopamine Neurotransmission Data Using QNsim1.0

Modeling Fast-scan Cyclic Voltammetry Data from Electrically Stimulated Dopamine Neurotransmission Data Using QNsim1.0

Published on: June 5, 2017

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

Published on: March 25, 2014

Area of Science:

Biomedical Engineering
Neuroscience
Network Communications

Background:

Intrabody networks of nano/micro-scale machines require efficient communication protocols.
Neurons can serve as a physical communication medium for these networks.
Existing protocols face challenges in noisy biological signaling environments.

Purpose of the Study:

To formulate a noisy multiobjective optimization problem for a Time Division Multiple Access (TDMA) communication protocol.
To find Pareto-optimal TDMA configurations that balance communication performance and robustness.
To develop a stochastic optimizer for seeking optimal trade-offs in neuronal communication.

Main Methods:

Formulation of a noisy multiobjective optimization problem for TDMA configurations.
Utilizing a nonparametric significance test for statistical comparison of solution candidates.
Development of a stochastic optimizer to navigate performance-robustness trade-offs.

Main Results:

The proposed optimizer efficiently identifies high-quality TDMA configurations in noisy neuronal environments.
Simulation results demonstrate superior performance compared to existing noise-aware stochastic optimizers.
The method effectively maximizes communication performance (e.g., latency) and robustness against signal interference.

Conclusions:

The developed stochastic optimizer is effective for optimizing TDMA configurations in neuronal intrabody networks.
This approach offers a robust solution for parallel signal transmissions in noisy biological settings.
The findings advance the design of communication protocols for nano/micro-scale machines within the body.