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Related Concept Videos

Basic Discrete Time Signals01:16

Basic Discrete Time Signals

The unit step sequence is defined as 1 for zero and positive values of the integer n. This sequence can be graphically displayed using a set of eight sample points, showing a step function starting from n=0 and remaining constant thereafter.
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Related Experiment Video

Updated: Jun 20, 2026

Contribution of the Na+/K+ Pump to Rhythmic Bursting, Explored with Modeling and Dynamic Clamp Analyses
08:34

Contribution of the Na+/K+ Pump to Rhythmic Bursting, Explored with Modeling and Dynamic Clamp Analyses

Published on: May 9, 2021

Bursts generate a non-reducible spike-pattern code.

Hugo G Eyherabide1, Ariel Rokem, Andreas V M Herz

  • 1Bernstein Center for Computational Neuroscience and Institute for Theoretical Biology, Department of Biology, Humboldt Universität Berlin, Germany.

Frontiers in Neuroscience
|September 16, 2009
PubMed
Summary
This summary is machine-generated.

Neural spike patterns encode stimulus features and timing. Grasshopper auditory receptors reveal that burst duration and onset time convey "what" and "when" information, respectively, in neural communication.

Keywords:
auditory receptorburst spikinginformation theoryneural codesensory encoding

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

Published on: March 25, 2014

Area of Science:

  • Neuroscience
  • Auditory Neuroscience
  • Computational Neuroscience

Background:

  • Neurons communicate using precisely timed electrical signals called spikes.
  • Information can be encoded in the rate of spikes (firing-rate code) or the precise timing and patterns of spikes (spike-pattern code).
  • Experimental evidence for spike-pattern codes significantly contributing to information transmission has been limited.

Purpose of the Study:

  • To investigate the role of spike-pattern codes in transmitting behaviorally relevant information.
  • To determine if correlations between spikes in neural signals encode stimulus features and timing.
  • To explore the potential of burst firing patterns in neural information processing.

Main Methods:

  • Utilized grasshopper auditory receptors as a model system to study neural coding.
  • Analyzed spike trains to identify correlations and burst-like patterns.
  • Quantified the information transmitted by different aspects of spike patterns, specifically burst duration and onset time.

Main Results:

  • Demonstrated that correlations between spikes in neural signals represent behaviorally relevant stimuli.
  • Identified that spike trains consist of successions of burst-like patterns.
  • Showed that different burst counts encode distinct stimulus features, with 20% of information related to feature discrimination.
  • Revealed that 80% of transmitted information is allocated to the temporal sequencing of these features.

Conclusions:

  • Spike-pattern codes, specifically burst firing, are crucial for encoding both the identity and timing of stimuli.
  • Burst duration encodes stimulus features ('what'), while burst onset time encodes stimulus timing ('when').
  • The findings suggest that burst firing is a widespread mechanism for neural information transmission, potentially applicable to other neural systems.