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Physiology of Smell and Olfactory Pathway

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Related Experiment Video

Updated: May 11, 2026

Olfactory Context Dependent Memory: Direct Presentation of Odorants

Olfactory Context Dependent Memory: Direct Presentation of Odorants

Published on: September 18, 2018

Temporal processing in the olfactory system: can we see a smell?

David H Gire¹, Diego Restrepo, Terrence J Sejnowski

¹Molecular and Cellular Biology, and Center for Brain Science, Harvard University, Cambridge, MA 02138, USA.

|May 14, 2013

Summary

This summary is machine-generated.

The visual and olfactory systems use similar temporal coding strategies to process environmental information. Differences in neural circuits reveal how time shapes sensory signal processing in the brain.

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Area of Science:

Neuroscience
Sensory Systems Biology
Computational Neuroscience

Background:

Sensory systems, including visual and olfactory, process complex environmental data.
Both systems employ temporal coding strategies to transmit information to the brain.
Early neuroanatomical studies by Ramon y Cajal laid groundwork for understanding neural circuits.

Purpose of the Study:

To compare temporal coding mechanisms in the early olfactory and visual systems.
To highlight advances in understanding olfactory coding during active sensing.
To examine divergent circuit mechanisms underlying temporal codes in these systems.

Main Methods:

Comparative analysis of temporal coding strategies in the retina and olfactory bulb.
Review of recent studies on olfactory coding in behaving animals.
Examination of neurophysiological data related to circuit mechanisms.

Main Results:

Despite different inputs, the retina and olfactory bulb utilize similar temporal coding strategies.
Active sensing significantly influences olfactory coding.
Divergent neural circuit mechanisms generate distinct temporal codes.

Conclusions:

Temporal coding plays a crucial role in sensory information processing across different modalities.
Understanding circuit-level differences is key to deciphering temporal codes.
This comparative approach offers new avenues for studying neural signal processing.