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

Long-term Potentiation01:35

Long-term Potentiation

55.5K
Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre- and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
55.5K
Neural Circuits01:25

Neural Circuits

1.4K
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...
1.4K
Propagation of Action Potentials01:23

Propagation of Action Potentials

6.1K
The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...
6.1K
Neural Regulation01:37

Neural Regulation

39.6K
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.
39.6K
Drug Concentration Versus Time Correlation01:15

Drug Concentration Versus Time Correlation

957
The plasma drug concentration-time curve is a crucial tool in pharmacokinetics, representing the drug's concentration in plasma at different time intervals post-administration. This curve illustrates the drug's journey from absorption into the systemic circulation, distribution to body tissues, and eventual elimination through excretion or biotransformation.
Two pivotal parameters are the minimum effective concentration (MEC) and the minimum toxic concentration (MTC). The MEC is the...
957
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

102
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
102

You might also read

Related Articles

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

Sort by
Same author

Cross-individual translation of spontaneous zebrafish brain activity through a shared latent representation.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

A sensorimotor instability drives a locomotor transition during fish development.

Science advances·2026
Same author

Diversity-generating retroelements for programmable targeted hypermutagenesis.

Nature biotechnology·2026
Same author

Constrained evolutionary funnels shape viral immune escape.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Origins and breadth of pairwise epistasis in an α-helix of β-lactamase TEM-1.

Nature communications·2026
Same author

Linking brain and behavior states in Zebrafish Larvae locomotion using hidden Markov models.

PLoS computational biology·2026

Related Experiment Video

Updated: Aug 7, 2025

Perspectives on Neuroscience
26:41

Perspectives on Neuroscience

Published on: July 31, 2007

5.0K

Emergence of time persistence in a data-driven neural network model.

Sebastien Wolf1, Guillaume Le Goc2, Georges Debrégeas2

  • 1Laboratory of Physics of the Ecole Normale Supérieure, CNRS UMR 8023 & PSL Research, Sorbonne Université, Université de Paris, Paris, France.

Elife
|March 14, 2023
PubMed
Summary
This summary is machine-generated.

Researchers developed an interpretable energy-based model for the anterior rhombencephalic turning region (ARTR) controlling zebrafish swimming. The model accurately captures network dynamics and reveals underlying mechanisms of neuronal activity.

Keywords:
Ising modeldimensional reductionmetastable stateneural persistenceneurosciencezebrafish

More Related Videos

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays
10:45

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays

Published on: May 29, 2017

10.0K
A Method for Tracking the Time Evolution of Steady-State Evoked Potentials
12:03

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials

Published on: May 25, 2019

8.5K

Related Experiment Videos

Last Updated: Aug 7, 2025

Perspectives on Neuroscience
26:41

Perspectives on Neuroscience

Published on: July 31, 2007

5.0K
Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays
10:45

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays

Published on: May 29, 2017

10.0K
A Method for Tracking the Time Evolution of Steady-State Evoked Potentials
12:03

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials

Published on: May 25, 2019

8.5K

Area of Science:

  • Systems Neuroscience
  • Computational Neuroscience
  • Neuroscience

Background:

  • Modeling neural network activity accurately and interpretably remains a significant challenge.
  • The anterior rhombencephalic turning region (ARTR) is crucial for controlling zebrafish swimming behavior.

Purpose of the Study:

  • To infer an energy-based model of the ARTR using functional recordings of neural activity.
  • To understand the fundamental mechanisms governing collective neuronal dynamics in the ARTR.

Main Methods:

  • Inferred an energy-based model from functional recordings of spontaneous activity in hundreds of ARTR neurons.
  • Trained the model to reproduce low-order network activity statistics at short timescales.
  • Analyzed the model's simulated dynamics and mathematical properties.

Main Results:

  • The model quantitatively captured the slow, alternating activity patterns of the ARTR.
  • Simulated dynamics reproduced the modulation of ARTR activity by water temperature and visual stimulation.
  • Mathematical analysis revealed a low-dimensional, landscape-based representation of ARTR activity.

Conclusions:

  • Data-driven models from large neural populations can be reduced to low-dimensional functional models.
  • The slow network dynamics reflect transitions between metastable states, akin to Arrhenius-like barrier crossings.
  • This approach provides fundamental insights into the mechanisms controlling collective neuronal dynamics.