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

Integration of Synaptic Events01:28

Integration of Synaptic Events

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...
The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

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.
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...

You might also read

Related Articles

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

Sort by
Same author

Sparse component analysis: A method that uncovers separable computations within neural population activity.

Neuron·2026
Same author

BiXformer: A Bidirectional Cross Attention Transformer for Disentangling Inter-Regional Neural Dynamics.

bioRxiv : the preprint server for biology·2026
Same author

Diurnal rhythms of choice: a novel state-dependent drift diffusion model uncovers time-dependent changes in rat decision making.

Research square·2026
Same author

Beast3D: Animal behavioral analysis and neural encoding from multi-view video via Gaussian splatting.

ArXiv·2026
Same author

Lightning Pose 3D: an uncertainty-aware framework for data-efficient multi-view animal pose estimation.

bioRxiv : the preprint server for biology·2026
Same author

Low rank adaptation of chemical foundation models generates effective odorant representations.

bioRxiv : the preprint server for biology·2026
Same journal

Hierarchical learning creates invariant schema within plastic neural networks.

Journal of computational neuroscience·2026
Same journal

Intrinsic chaos control in cortical circuits: A minimal E-I-M rate model for primary visual cortex.

Journal of computational neuroscience·2026
Same journal

Modeling developmental spiking behavior driven by ionic current dynamics of mouse and human inner hair cells using a calcium-enhanced Izhikevich framework.

Journal of computational neuroscience·2026
Same journal

A biophysically grounded model of glutamatergic synaptic transmission integrating glutamate transport, receptor kinetics, and electrotonic effects.

Journal of computational neuroscience·2026
Same journal

When can neuronal activity-dependent homeostatic plasticity maintain circuit-level properties?

Journal of computational neuroscience·2026
Same journal

A charge conservative finite volume discretization of the Hodgkin-Huxley model.

Journal of computational neuroscience·2026
See all related articles

Related Experiment Video

Updated: May 27, 2026

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

Inferring synaptic inputs given a noisy voltage trace via sequential Monte Carlo methods.

Liam Paninski1, Michael Vidne, Brian DePasquale

  • 1Department of Statistics and Center for Theoretical Neuroscience, Columbia University, New York City, NY, USA. liam@stat.columbia.edu

Journal of Computational Neuroscience
|November 18, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces particle filtering methods to accurately infer synaptic inputs to neurons from recordings. These techniques enable precise recovery of excitatory and inhibitory inputs, aiding sensory processing research.

More Related Videos

Viral Tracing of Genetically Defined Neural Circuitry
13:06

Viral Tracing of Genetically Defined Neural Circuitry

Published on: October 17, 2012

Combined In Vivo Anatomical and Functional Tracing of Ventral Tegmental Area Glutamate Terminals in the Hippocampus
09:36

Combined In Vivo Anatomical and Functional Tracing of Ventral Tegmental Area Glutamate Terminals in the Hippocampus

Published on: September 9, 2020

Related Experiment Videos

Last Updated: May 27, 2026

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

Viral Tracing of Genetically Defined Neural Circuitry
13:06

Viral Tracing of Genetically Defined Neural Circuitry

Published on: October 17, 2012

Combined In Vivo Anatomical and Functional Tracing of Ventral Tegmental Area Glutamate Terminals in the Hippocampus
09:36

Combined In Vivo Anatomical and Functional Tracing of Ventral Tegmental Area Glutamate Terminals in the Hippocampus

Published on: September 9, 2020

Area of Science:

  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Accurate inference of synaptic inputs is crucial for understanding neural circuit function.
  • Existing methods often require multiple trials or struggle with physiological conditions.

Purpose of the Study:

  • To develop and validate advanced computational methods for inferring synaptic inputs to neurons.
  • To enable accurate, single-trial estimation of excitatory and inhibitory synaptic conductances.
  • To link inferred synaptic inputs to sensory stimuli using advanced modeling techniques.

Main Methods:

  • Sequential Monte Carlo techniques, specifically particle filtering, for synaptic input inference.
  • Convex optimization for model fitting and filter initialization.
  • Expectation-Maximization (EM) algorithms for parametric and nonparametric model estimation.

Main Results:

  • Accurate recovery of excitatory and inhibitory synaptic input time courses on single trials using particle filtering.
  • Demonstrated superior accuracy for excitatory inputs at physiological potentials due to driving force.
  • Successful integration of synaptic recovery with stimulus-response modeling via EM algorithms.

Conclusions:

  • Particle filtering offers a powerful, single-trial approach for inferring neuronal synaptic inputs.
  • The developed methods facilitate understanding the excitation-inhibition balance in sensory processing.
  • These computational tools advance the analysis of neural dynamics and stimulus encoding.