Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Neural Regulation01:37

Neural Regulation

40.4K
Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
40.4K
Neural Control of Respiration01:18

Neural Control of Respiration

3.0K
The neural regulation of respiration is a meticulously coordinated process primarily controlled by the respiratory centers located within the brainstem. These centers, composed of specialized neurons, transmit nerve impulses that control the contraction and relaxation of our respiratory muscles.
Respiratory Centers in the Brainstem
Two primary areas comprise the respiratory center: the medullary respiratory center in the medulla oblongata and the pontine respiratory group in the pons. The...
3.0K
Neural Circuits01:25

Neural Circuits

1.7K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
1.7K

You might also read

Related Articles

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

Sort by
Same author

Tuning regimes in ant foraging dynamics depend on the existence of bistability.

Journal of the Royal Society, Interface·2026
Same author

Modeling collective behavior in groups of mice housed under semi-naturalistic conditions.

eLife·2025
Same author

Information consumption and firm size.

Royal Society open science·2024
Same author

Constructing stability: optimal learning in noisy ecological niches.

Proceedings. Biological sciences·2024
Same author

Valence and interactions in judicial voting.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2024
Same author

Idea engines: Unifying innovation & obsolescence from markets & genetic evolution to science.

Proceedings of the National Academy of Sciences of the United States of America·2024

Related Experiment Video

Updated: Sep 21, 2025

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments
05:19

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments

Published on: November 12, 2019

7.1K

Discovering sparse control strategies in neural activity.

Edward D Lee1, Xiaowen Chen2, Bryan C Daniels3

  • 1Complexity Science Hub Vienna, Vienna, Austria.

Plos Computational Biology
|May 27, 2022
PubMed
Summary

Researchers developed a new protocol to study how biological circuits, like neural networks, map internal states to behavior. This method simplifies complexity in organisms such as C. elegans, revealing key neurons controlling collective activity.

More Related Videos

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.5K
Induction of an Isoelectric Brain State to Investigate the Impact of Endogenous Synaptic Activity on Neuronal Excitability In Vivo
10:19

Induction of an Isoelectric Brain State to Investigate the Impact of Endogenous Synaptic Activity on Neuronal Excitability In Vivo

Published on: March 31, 2016

8.2K

Related Experiment Videos

Last Updated: Sep 21, 2025

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments
05:19

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments

Published on: November 12, 2019

7.1K
Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.5K
Induction of an Isoelectric Brain State to Investigate the Impact of Endogenous Synaptic Activity on Neuronal Excitability In Vivo
10:19

Induction of an Isoelectric Brain State to Investigate the Impact of Endogenous Synaptic Activity on Neuronal Excitability In Vivo

Published on: March 31, 2016

8.2K

Area of Science:

  • Systems Biology
  • Neuroscience
  • Computational Biology

Background:

  • Biological circuits, including neural and gene regulatory networks, utilize internal states to translate sensory input into adaptive behaviors.
  • Characterizing the complex mapping between internal states and behavior is a significant challenge in systems biology, especially in complex organisms.
  • Advancements in probing internal states are ongoing, but organismal complexity hinders a full understanding of the neural-behavioral map.

Purpose of the Study:

  • To propose a systematic protocol for perturbing neural states to simplify experimental complexity in studying the neural-behavioral map.
  • To investigate the impact of small, experimentally motivated perturbations on collective neural activity and statistics.
  • To characterize the local information geometry of collective statistics using pairwise perturbations.

Main Methods:

  • Developed a protocol for systematic, small perturbations of neural states in biological circuits.
  • Analyzed the impact of these perturbations on collective neural activity and statistics.
  • Applied information geometry concepts, specifically using pairwise perturbations, to characterize collective statistics.

Main Results:

  • Collective neural statistics were found to be most sensitive to a few principal perturbative modes.
  • Dominant eigenvalues exhibited a power-law decay, indicating a hierarchy in neural activity and interactions.
  • A small subset of 'pivotal' neurons dominated the system's sensitivity, suggesting a sparse control mechanism.

Conclusions:

  • The proposed protocol effectively limits experimental complexity for characterizing the neural-behavioral map.
  • A sparse mechanism involving pivotal neurons appears to underlie collective neural control.
  • The findings provide insights into the hierarchical organization and control of neural activity in complex biological systems.