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Cross-Modal Multivariate Pattern Analysis

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

Predictive coding.

Yanping Huang¹, Rajesh P N Rao¹

¹Department of Computer Science and Engineering, University of Washington, Seattle, WA, USA.

Wiley Interdisciplinary Reviews. Cognitive Science

|August 25, 2015

Summary

This summary is machine-generated.

Predictive coding, a framework for efficient neural information processing, minimizes redundancy by transmitting only unpredicted sensory signals. This principle explains various brain functions, from visual receptive fields to cortical organization.

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Area of Science:

Neuroscience
Computational Neuroscience
Cognitive Science

Background:

The nervous system must efficiently process vast sensory information within limited neural resources.
Efficient coding is hypothesized as a fundamental design principle for sensory systems.
Predictive coding offers a framework to explain how the brain achieves this efficiency.

Purpose of the Study:

To present predictive coding as a unifying framework for understanding neural processing.
To explain how predictive coding accounts for redundancy reduction in the nervous system.
To demonstrate the consistency of predictive coding with neurophysiological and psychophysical data.

Main Methods:

The study reviews existing literature and theoretical frameworks on predictive coding.
It synthesizes evidence from various levels of sensory processing, from early visual pathways to higher cortical areas.
The framework is evaluated against established neurophysiological and psychophysical findings.

Main Results:

Predictive coding naturally explains phenomena like lateral and temporal antagonism in visual receptive fields.
It provides functional explanations for oriented receptive fields and contextual effects in the visual system.
The hierarchical and reciprocal organization of the cortex is also consistent with predictive coding principles.

Conclusions:

Predictive coding provides a parsimonious explanation for diverse neural computations and brain organization.
It highlights the brain's proactive strategy in anticipating and processing sensory input.
The framework offers a powerful lens for future research in neuroscience and cognitive science.