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 Synapse02:47

The Synapse

Neurons communicate with one another by passing on their electrical signals to other neurons. A synapse is the location where two neurons meet to exchange signals. At the synapse, the neuron that sends the signal is called the presynaptic cell, while the neuron that receives the message is called the postsynaptic cell. Note that most neurons can be both presynaptic and postsynaptic, as they both transmit and receive information.
Neuronal Communication01:28

Neuronal Communication

Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...
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.
Action Potential: Phases of Stimulation01:28

Action Potential: Phases of Stimulation

The action potential is a complex electrical event that occurs in excitable cells, such as neurons and muscle cells. It consists of several distinct phases, each with specific characteristics.
Resting Phase:
In this phase, the cell's membrane is at its resting potential, typically around -70 millivolts (mV) for neurons. Inside the cell, there is a higher concentration of potassium ions (K+) and a lower concentration of sodium ions (Na+). Voltage-gated sodium channels are closed, and...
Electrochemical Gradient and Channel Proteins: An Overview01:21

Electrochemical Gradient and Channel Proteins: An Overview

An electrochemical gradient is a fundamental concept in biology and chemistry. It regulates the movement of ions across cell membranes. This movement is influenced by two factors:
The electrical gradient: The electrical gradient across cell membranes refers to the difference in electric charge between the inside and outside of a cell.  This difference drives the movement of ions towards or away from the cells. For instance, if the inside of the cell is more negatively charged relative to the...
Neuron Structure01:30

Neuron Structure

Neurons are the main type of cell in the nervous system that generate and transmit electrochemical signals. They primarily communicate with each other using neurotransmitters at specific junctions called synapses. Neurons come in many shapes that often relate to their function, but most share three main structures: an axon and dendrites that extend out from a cell body.
Structure and Function of Neurons
The neuronal cell body—the soma— houses the nucleus and organelles vital to cellular...

You might also read

Related Articles

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

Sort by
Same author

Impact of the symmetries of colour space on perceptual and categorical chromatic experiments.

Bio Systems·2026
Same author

Expansion of marginal correlations in terms of partial correlations.

Physical review. E·2025
Same author

The Emergence of the Normal Distribution in Deterministic Chaotic Maps.

Entropy (Basel, Switzerland)·2024
Same author

Hemispheric asymmetries in cortical grey matter of gyri and sulci in modern human populations from South America.

Journal of anatomy·2024
Same author

Bridging physiological and perceptual views of autism by means of sampling-based Bayesian inference.

Network neuroscience (Cambridge, Mass.)·2023
Same author

Inferring a Property of a Large System from a Small Number of Samples.

Entropy (Basel, Switzerland)·2022

Related Experiment Video

Updated: Jun 18, 2026

Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution
08:48

Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution

Published on: September 5, 2012

The information transmitted by spike patterns in single neurons.

Hugo G Eyherabide1, Inés Samengo

  • 1Centro Atómico Bariloche and Instituto Balseiro, San Carlos de Bariloche, Río Negro, Argentina.

Journal of Physiology, Paris
|December 1, 2009
PubMed
Summary
This summary is machine-generated.

Researchers analyzed neural spike patterns to understand how the brain encodes sensory information. They identified specific patterns crucial for the neural code by comparing different readout methods, revealing key components of brain communication.

More Related Videos

A Procedure for Implanting Organized Arrays of Microwires for Single-unit Recordings in Awake, Behaving Animals
10:58

A Procedure for Implanting Organized Arrays of Microwires for Single-unit Recordings in Awake, Behaving Animals

Published on: February 14, 2014

A Guide to In vivo Single-unit Recording from Optogenetically Identified Cortical Inhibitory Interneurons
10:32

A Guide to In vivo Single-unit Recording from Optogenetically Identified Cortical Inhibitory Interneurons

Published on: November 7, 2014

Related Experiment Videos

Last Updated: Jun 18, 2026

Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution
08:48

Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution

Published on: September 5, 2012

A Procedure for Implanting Organized Arrays of Microwires for Single-unit Recordings in Awake, Behaving Animals
10:58

A Procedure for Implanting Organized Arrays of Microwires for Single-unit Recordings in Awake, Behaving Animals

Published on: February 14, 2014

A Guide to In vivo Single-unit Recording from Optogenetically Identified Cortical Inhibitory Interneurons
10:32

A Guide to In vivo Single-unit Recording from Optogenetically Identified Cortical Inhibitory Interneurons

Published on: November 7, 2014

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Information Theory

Background:

  • Spike patterns are known to encode sensory information in various brain regions.
  • Understanding the precise role of specific patterns within the neural code is crucial for deciphering brain function.

Purpose of the Study:

  • To assess the role of specific spike patterns in the neural code.
  • To compare the information transmitted using different neural alphabets (readout methods).
  • To identify the most significant patterns contributing to the neural code.

Main Methods:

  • Comparing information transmission across various neural alphabets.
  • Ranking alternative alphabets based on extracted information content.
  • Analyzing the interplay between categorical and temporal information.

Main Results:

  • Successfully ranked different neural alphabets by their information transmission capacity.
  • Identified specific spike patterns as key components of the neural code.
  • Quantified synergy and redundancy between categorical and temporal information processing.

Conclusions:

  • The study provides a framework for identifying critical elements of the neural code.
  • Different readout methods (neural alphabets) significantly impact information extraction.
  • The interplay between temporal and categorical information influences coding efficiency.