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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.
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Related Experiment Video

Updated: Aug 14, 2025

Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology

Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology

Published on: June 29, 2021

Decoding semantic representations in mind and brain.

Saskia L Frisby¹, Ajay D Halai¹, Christopher R Cox²

¹Medical Research Council (MRC) Cognition and Brain Sciences Unit, Chaucer Road, Cambridge CB2 7EF, UK.

Trends in Cognitive Sciences

|January 11, 2023

Summary

This summary is machine-generated.

Understanding semantic memory neurocognitive systems is key. This review clarifies how diverse neuroimaging analyses yield varied results, linking cognitive theory to data for better mechanistic insights.

Keywords:

brain imaging cognitive neuroscience concepts multivariate pattern analysis neural decoding semantic memory

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Area of Science:

Cognitive Neuroscience
Neuroimaging Analysis

Background:

Understanding the neurocognitive systems supporting semantic memory is a central goal in cognitive neuroscience.
Multivariate neuroimaging analyses have advanced this understanding, but rapid development has led to diverse and sometimes contradictory findings.
Tracking these findings and reconciling discrepancies is challenging.

Purpose of the Study:

To review cognitive theories of semantic representation and their neural basis.
To analyze contemporary neural decoding approaches and their detection capabilities.
To explain the heterogeneity in neuroimaging results and guide future research.

Main Methods:

Systematic review of cognitive theories on semantic representation.
Analysis of contemporary neural decoding techniques in neuroimaging.
Assessment of the relationship between cognitive models and neuroimaging data analysis.

Main Results:

Identified diverse findings from multivariate neuroimaging analyses of semantic memory.
Highlighted how different neural decoding approaches may detect different types of representations.
Revealed reasons for heterogeneity in results, stemming from links between theory, data, and analysis.

Conclusions:

Reconciling diverse neuroimaging findings requires careful consideration of cognitive theories.
Connecting neuroimaging data collection and analysis to mechanistic theories of semantic cognition is crucial.
Future research should focus on integrating theoretical frameworks with advanced analytical methods for robust insights.