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Related Concept Videos

Echo01:06

Echo

The human ear cannot distinguish between two sources of sound if they happen to reach within a specific time interval, typically 0.1 seconds apart. More than this, and they are perceived as separate sources.
Imagine the sound is reflected back to the ears. Assuming that the source is very close to the human, the difference between hearing the two sounds—the emitted sound and the reflected sound—may be more than the minimum time for perceiving distinct sounds. If this is the case, then the...

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Related Experiment Video

Updated: Jun 22, 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

Bat echolocation processing using first-spike latency coding.

Bertrand Fontaine1, Herbert Peremans

  • 1Active Perception Lab, Universiteit Antwerpen, 13, Prinsstraat, 2018 Antwerpen, Belgium. bertrand.fontaine@ua.ac.be

Neural Networks : the Official Journal of the International Neural Network Society
|June 2, 2009
PubMed
Summary
This summary is machine-generated.

FM-bats use precise spike timing, not just firing rate, for echolocation. A new model shows how first spike latency (FSL) coding in the auditory system processes these crucial timing cues for navigation.

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Last Updated: Jun 22, 2026

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

Published on: September 5, 2012

Area of Science:

  • Neuroscience
  • Bioacoustics
  • Auditory System Research

Background:

  • Bats use echolocation with short sound pulses, generating minimal neural spikes per echo.
  • Processing these brief echoes requires efficient neural coding strategies.

Purpose of the Study:

  • To investigate the role of spike-timing information in bat echolocation.
  • To present a neural model demonstrating the processing of spike-time codes in the auditory pathway.
  • To compare spike-timing codes with traditional firing-rate codes.

Main Methods:

  • Development of a spike-time model for monaural and binaural auditory pathways up to the midbrain.
  • Analysis of how First Spike Latency (FSL) codes represent auditory intensity cues.
  • Experimental comparison of FSL code models with firing-rate code models.

Main Results:

  • The FSL code effectively represents monaural and binaural intensity cues derived from head-related transfer functions.
  • Auditory centers enhance the information conveyed by the FSL code.
  • Experimental results favor FSL coding over firing-rate coding for biological plausibility.

Conclusions:

  • First Spike Latency (FSL) coding is a biologically plausible mechanism for processing echolocation information in FM-bats.
  • Spike-timing, specifically FSL, offers advantages over firing-rate coding for interpreting brief auditory signals.
  • The neural architecture supports the processing of precise spike-timing information for auditory perception.