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Related Concept Videos

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...
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...
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.
Graded Potential01:19

Graded Potential

Graded potentials are localized fluctuations in the cell membrane's electrical charge, commonly found in the dendrites of neurons. The magnitude of these potential changes depends on the strength of the initiating stimulus. In a membrane at its resting potential, a graded potential signifies a voltage shift either above -70 mV or below -70 mV.
Graded potentials fall into two categories: depolarizing and hyperpolarizing. Depolarizing graded potentials typically occur when sodium (Na+) or calcium...
Long-term Potentiation01:35

Long-term Potentiation

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.
Long-term Potentiation01:25

Long-term Potentiation

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.
Hebbian LTP
LTP can occur when presynaptic neurons...

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Related Experiment Video

Updated: Jun 25, 2026

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions
07:34

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

Published on: March 25, 2014

Spike-phase coding boosts and stabilizes information carried by spatial and temporal spike patterns.

Christoph Kayser1, Marcelo A Montemurro, Nikos K Logothetis

  • 1Max Planck Institute for Biological Cybernetics, Spemannstrasse 38, 72076 Tübingen, Germany. christoph.kayser@tuebingen.mpg.de

Neuron
|March 3, 2009
PubMed
Summary
This summary is machine-generated.

Neurons use multiple coding strategies simultaneously to process sensory information, combining temporal patterns and spatial populations. This nested coding, influenced by brain rhythms, enhances information accuracy and noise resistance.

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Last Updated: Jun 25, 2026

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions
07:34

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

Published on: March 25, 2014

Examining Local Network Processing using Multi-contact Laminar Electrode Recording
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Examining Local Network Processing using Multi-contact Laminar Electrode Recording

Published on: September 8, 2011

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

Area of Science:

  • Neuroscience
  • Auditory Cortex Research
  • Sensory Information Processing

Background:

  • Neural codes are hypothesized mechanisms for sensory information encoding.
  • The concurrent use of multiple neural codes remains an underexplored area.
  • Understanding sensory processing requires investigating how different coding strategies interact.

Purpose of the Study:

  • To test the hypothesis that different neural codes are used concurrently in the auditory cortex.
  • To quantify the information provided by temporal spike-train patterns and spatial populations for natural sounds.
  • To investigate the role of slow cortical rhythms in modulating neural coding.

Main Methods:

  • Quantifying encoded information in the auditory cortex of alert animals.
  • Analyzing temporal spike-train patterns and spatial population activity.
  • Assessing the impact of relative phase to slow ongoing rhythms on information content.
  • Introducing sensory noise to evaluate the robustness of different coding strategies.

Main Results:

  • Both temporal spike-train patterns and spatial populations were found to be highly informative about natural sounds.
  • The relative phase of slow ongoing rhythms provided significant additional and complementary information.
  • Nested codes combining spike-train patterns with firing phase were most informative and robust to noise.
  • Slow cortical rhythms appear to stabilize sensory representations by mitigating noise effects.

Conclusions:

  • Sensory cortices likely employ concurrent neural codes across different spatiotemporal scales.
  • Nested coding strategies, integrating spike timing and population activity modulated by rhythms, are highly effective.
  • Slow cortical rhythms may play a crucial role in enhancing the reliability of sensory representations against noise.