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Encoding

Encoding

Information enters the brain through encoding, which is the input of information into the memory system. Once sensory information is received from the environment, the brain labels or codes it. The information is then organized with similar information and connected to existing concepts. Encoding occurs through automatic processing and effortful processing.
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...

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Related Experiment Video

Updated: May 10, 2025

Infant Auditory Processing and Event-related Brain Oscillations

Infant Auditory Processing and Event-related Brain Oscillations

Published on: July 1, 2015

Direct brain recordings reveal implicit encoding of structure in random auditory streams.

Julian Fuhrer^1,2,3, Kyrre Glette^4,5, Jugoslav Ivanovic⁶

¹RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion, University of Oslo, Oslo, Norway. julian.fuhrer@medisin.uio.no.

Scientific Reports

|April 27, 2025

Summary

The brain automatically encodes temporal structure in random sounds using transitional probabilities. This process involves a network beyond the auditory system, including the hippocampus and frontal regions.

Keywords:

High-frequency activity MMN Pattern detection Predictive coding Statistical learning

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Area of Science:

Neuroscience
Cognitive Science
Computational Neuroscience

Background:

The brain processes complex sensory input using internal models based on statistical regularities.
Understanding the neural basis of statistical learning and predictive processing is crucial.

Purpose of the Study:

To investigate the role of transitional probabilities in encoding temporal structure in auditory streams.
To identify the neural correlates of automatic, implicit structure encoding.

Main Methods:

Utilized information-theoretical principles and intracranial electroencephalography (iEEG).
Analyzed trial-by-trial high-frequency activity to represent transitional probabilities.
Examined neural activity in response to random auditory stimuli.

Main Results:

Demonstrated automatic and continuous encoding of structure in random auditory stimuli.
Revealed involvement of a widespread neural network, including hippocampal, frontal, and temporal regions, beyond the auditory cortex.
Showcased the brain's ability to represent statistical structures in sensory input.

Conclusions:

The brain automatically encodes implicit temporal structures in auditory environments.
This encoding involves a distributed network, highlighting the role of memory and executive function regions.
This mechanism supports the detection of patterns and anomalies, crucial for environmental interaction.