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 Circuits01:25

Neural Circuits

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...
Modeling with Differential Equations01:25

Modeling with Differential Equations

Population dynamics can be described mathematically by considering the population size P(t) as a function of time. The rate of change of the population is then represented by the derivative of P(t). A simple assumption is that the rate of growth is proportional to the size of the population itself. This leads to an exponential growth model, where the population increases rapidly without bound. While this is a useful first approximation, it does not reflect realistic long-term...
Neural Regulation01:37

Neural Regulation

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.
Pharmacodynamic Models: Direct Effect Model and Indirect Response Model01:29

Pharmacodynamic Models: Direct Effect Model and Indirect Response Model

Pharmacodynamic models are essential tools in understanding the relationship between drug concentrations and their effects on biological systems. By characterizing the dynamics of drug action, these models guide dose selection, optimize therapeutic efficacy, and inform the development of new drugs. Two major classes of pharmacodynamic models include direct effect and indirect response models.Direct Effect ModelsDirect effect models describe the immediate relationship between drug concentration...
Propagation of Action Potentials01:23

Propagation of Action Potentials

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...
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...

You might also read

Related Articles

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

Sort by
Same author

Topographic Variation in Human Neurotransmitter Receptor Densities Explains Differences in Intracranial EEG Spectra.

Human brain mapping·2025
Same author

Canalization and plasticity in psychopathology.

Neuropharmacology·2022
Same author

Toward biophysical markers of depression vulnerability.

Frontiers in psychiatry·2022
Same author

Statistical decision theory and multiscale analyses of human brain data.

Journal of neuroscience methods·2020
Same author

REBUS and the Anarchic Brain: Toward a Unified Model of the Brain Action of Psychedelics.

Pharmacological reviews·2019
Same author

A validation of dynamic causal modelling for 7T fMRI.

Journal of neuroscience methods·2018
Same journal

Investigating the Neural Origins of Ear-EEG: A Correlation Study Using Scalp EEG Source Reconstruction.

NeuroImage·2026
Same journal

Hysteresis effects in visual and auditory perception and the comparison of underlying neural mechanisms - an EEG study.

NeuroImage·2026
Same journal

Short-term audio-tactile training affects cortical auditory speech-envelope tracking for incongruent but not congruent stimuli.

NeuroImage·2026
Same journal

Dissociable Neurocognitive Mechanisms of State and Trait Anxiety in Working Memory: Threat-Induced Alterations in Decision Dynamics and Attenuation of Large-Scale Network Reconfiguration.

NeuroImage·2026
Same journal

Neuro-Ocular Amyloid Characterization in Alzheimer's Disease via Cross-Site PET-MRI and Hierarchical Cross-Attention Driven Multimodal Representation Learning.

NeuroImage·2026
Same journal

Whole-brain network dynamics underlying intolerance of uncertainty.

NeuroImage·2026
See all related articles

Related Experiment Video

Updated: May 29, 2026

Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

Dynamic causal modeling with neural fields.

D A Pinotsis1, R J Moran, K J Friston

  • 1The Wellcome Trust Centre for Neuroimaging, University College London, Queen Square, London WC1N 3BG, UK. d.pinotsis@fil.ion.ucl.ac.uk

Neuroimage
|September 20, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a neural field model for cortical activity, enabling spatial parameter estimation from EEG/LFP spectra using Bayesian inference and dynamic causal modeling.

Related Experiment Videos

Last Updated: May 29, 2026

Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

Area of Science:

  • Computational neuroscience
  • Neuroimaging analysis
  • Biophysics

Background:

  • Neural mass models (NMMs) are simplified representations of neuronal populations.
  • Neural field models (NFMs) offer a more detailed, spatially explicit description of neural activity.
  • Bridging NMMs and NFMs is crucial for understanding large-scale brain dynamics.

Purpose of the Study:

  • Introduce a novel neural field model inspired by a classic neural mass model.
  • Demonstrate parameter estimation for spatial properties of neuronal sources using EEG/LFP spectra.
  • Integrate NFMs within the dynamic causal modeling (DCM) framework.

Main Methods:

  • Developed a layered neural field model representing cortical laminae.
  • Formulated the NFM to be reducible to an NMM under spatial parameter constraints.
  • Employed Bayesian inference within DCM for parameter estimation.
  • Utilized empirical local field potential (LFP) data from a single electrode.

Main Results:

  • Successfully formulated an NFM reducible to the Jansen and Rit NMM.
  • Showcased the recovery of spatial dynamic parameters from LFP spectra.
  • Demonstrated parameter estimation is feasible even without explicit spatial data.
  • Enabled comparison between NFM and NMM predictions.

Conclusions:

  • The proposed NFM provides a spatially explicit extension of NMMs.
  • Bayesian inference within DCM effectively estimates spatial parameters from spectral data.
  • This approach enhances the understanding of cortical activity and source localization.