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

The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

3.6K
A postsynaptic neuron usually receives numerous impulses from several other presynaptic neurons. The axon hillock of the postsynaptic neuron integrates all these signals and determines the likelihood of firing an action potential.
Sometimes a single EPSP is strong enough to induce an action potential in the postsynaptic neuron. However, multiple presynaptic inputs must often create EPSPs around the same time for the postsynaptic neuron to be sufficiently depolarized to fire an action potential....
3.6K
Neural Circuits01:25

Neural Circuits

2.5K
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...
2.5K
Integration of Synaptic Events01:28

Integration of Synaptic Events

3.4K
Synaptic integration mainly includes the summation of graded potentials. Graded potentials, regardless of their type, cause subtle alterations in membrane voltage, resulting in either depolarization or hyperpolarization. These incremental changes, when combined or summed, can propel the neuron toward its threshold. Consider, for example, a membrane experiencing a +15 mV shift, causing it to depolarize from -70 mV to -55 mV. In this scenario, graded potentials govern the membrane's ability to...
3.4K
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

453
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
453

You might also read

Related Articles

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

Sort by
Same author

The Clinical Characteristics and Laboratory Findings of Early and Late Onset Pediatric Idiopathic Intracranial Hypertension: A Single-Centre Experience.

Mymensingh medical journal : MMJ·2026
Same author

The Effect of Combined Iron and Methylphenidate Use in Iron Deficient Attention deficit Hyperactivity Disorder (ADHD) Children of Bangladesh.

Mymensingh medical journal : MMJ·2026
Same author

Does childhood TB or pneumonia impact COPD or asthma in adulthood?

The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease·2025
Same author

Linear feedback control of spreading dynamics in stochastic nonlinear network models: epileptic seizures.

International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering·2023
Same author

Comparison of Serum Zinc in Children of Wilson Disease and Non-Wilsonian Volunteers in Bangladesh.

Mymensingh medical journal : MMJ·2023
Same author

Evaluation of Fecal Pancreatic Elastase-1 as a Measure of Pancreatic Exocrine Function in Children with Pancreatitis.

Mymensingh medical journal : MMJ·2023

Related Experiment Video

Updated: Dec 30, 2025

3D Modeling of Dendritic Spines with Synaptic Plasticity
07:13

3D Modeling of Dendritic Spines with Synaptic Plasticity

Published on: May 18, 2020

7.3K

Stochastic point process models for multi-compartment dendritic-tree input-output transformations in spiking neurons.

D Saha, W Truccolo

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |January 18, 2020
    PubMed
    Summary

    We developed point-process generalized linear models (PPGLMs) to understand how dendritic trees process inputs and generate neuron firing. These models accurately predict spiking activity and identify key input regions in complex neuron models.

    More Related Videos

    Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
    08:08

    Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

    Published on: June 24, 2015

    11.9K
    Dynamic Clamp Methods to Investigate Impaired Neuronal Excitability Associated with Autism
    08:44

    Dynamic Clamp Methods to Investigate Impaired Neuronal Excitability Associated with Autism

    Published on: October 17, 2025

    365

    Related Experiment Videos

    Last Updated: Dec 30, 2025

    3D Modeling of Dendritic Spines with Synaptic Plasticity
    07:13

    3D Modeling of Dendritic Spines with Synaptic Plasticity

    Published on: May 18, 2020

    7.3K
    Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
    08:08

    Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

    Published on: June 24, 2015

    11.9K
    Dynamic Clamp Methods to Investigate Impaired Neuronal Excitability Associated with Autism
    08:44

    Dynamic Clamp Methods to Investigate Impaired Neuronal Excitability Associated with Autism

    Published on: October 17, 2025

    365

    Area of Science:

    • Computational Neuroscience
    • Computational Neuroscience Modeling
    • Neuronal Electrophysiology

    Background:

    • Dendritic trees integrate synaptic inputs, influencing neuronal output.
    • Understanding dendritic integration is crucial for deciphering neural computation.
    • Existing models often simplify dendritic structure and synaptic input processing.

    Purpose of the Study:

    • To extend stochastic point-process generalized linear models (PPGLMs) for analyzing dendritic input-output transformations.
    • To investigate the contribution of dendritic compartments to soma action potential generation in multi-compartmental neuron models.
    • To assess the accuracy of PPGLMs in predicting neuronal spiking activity based on synaptic inputs.

    Main Methods:

    • Simulations of a multi-compartmental model of an entorhinal cortex pyramidal neuron.
    • Incorporation of active compartments using standard cable and Hodgkin-Huxley equations.
    • Modeling synaptic inputs as Poisson processes with varying rates and spatial distributions, plus Ornstein-Uhlenbeck background noise.

    Main Results:

    • Soma membrane potential power spectra showed subthreshold resonances around 40 Hz and 80 Hz.
    • Dendritic compartment contribution depended on path distance and segment size, not just distance.
    • PPGLM-estimated conditional intensity functions (CIFs) accurately predicted spiking activity (ROC AUC 0.8-0.95).
    • CIF models successfully identified input regions and temporal filters consistent with anatomical and input properties.

    Conclusions:

    • PPGLMs provide a powerful tool for data-driven analysis of dendritic integration.
    • The study highlights the importance of spatial distribution and dendritic structure in synaptic input processing.
    • This approach can be applied to experimental data from imaging techniques for identifying neuronal input-output transformations.