J Math Psychol February 2017 PMID 28298703

A tutorial on the free-energy framework for modelling perception and learning.

Rafal Bogacz

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Mentions

Peak: 2 in Jul 2019

across 4 sources since May 2019

Extended reach

402,356

potential audience

Total likes

12,922

Video views

343,431

Mentions per month

May 2019 – May 2025

Where it's discussed

X / Twitter7 posts
YouTube2 videos
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AI synopsis

What people are saying

The discussions consistently refer to the tutorial as a valuable resource, emphasizing its clarity and relevance in fields like sensory inference and cognitive modeling, with phrases like 'properties of sensory stimuli' and 'modeling other cognitive functions,' indicating interest and acknowledgment of its significance. The tone is mostly informative and positive, with some users highlighting its potential to advance understanding in neural and psychological sciences.

AgreementModerate agreement

Most discussions recognize the tutorial's thoroughness and potential relevance, indicating general agreement with its importance.

InterestHigh interest

The frequent use of technical hashtags and references suggests a high level of interest from those engaged with the topics.

EngagementModerate engagement

Posts reflect a basic understanding and acknowledgement of the framework, showing some engagement but limited deep critique or expansion.

ImpactModerate impact

Mentions of the framework's applications in modeling cognition hint at moderate influence, but few posts discuss broader implications or practical impacts.

Abstract in brief

This tutorial explains the freeenergy framework for perception and learning, building on the predictive coding model, and demonstrates how neural networks can perform sensory inference using simple computational elements.
It covers how the brain might learn about sensory features and their uncertainties through straightforward synaptic plasticity rules like Hebbian learning, providing step-by-step derivations and simple examples.
The paper also explores how these models could be implemented biologically, including an extended version where neurons only sum inputs and plasticity depends on neuron activity, making the theory more biologically plausible.

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All mentions

Understanding Brain Function Through the Free Energy Principle

Explore the Free Energy Principle, a framework in neuroscience explaining how the brain predicts sensory data using world models, priors, and inference, providing insights into perception, learning, and optical…

Artem Kirsanov · Jan 22, 2025 233,189 views

Exploring Predictive Coding in Biological Learning Systems

In this video, we explore Predictive Coding, a biologically plausible alternative to backpropagation. We discuss credit assignment challenges in learning, introduce prospective configuration, and examine its impact on…

Artem Kirsanov · May 7, 2025 110,243 views

8Eevert ✨

@8Eevert · X

Aug 7, 2023 · 1,158 followers View post →

ENcenatur

@encenatur · X

A tutorial on the free-energy framework for modelling perception and learning https://t.co/VrFNbX9GDn

Apr 30, 2023 · 41 followers View post →

Rina Saltman

@rinatie_ceo · X

A tutorial on the free-energy framework for modelling perception and learning - ScienceDirect https://t.co/83AMjObV3q

Sep 24, 2020 · 3,567 followers View post →

Stephen Pimentel

@StephenPiment · X

A tutorial on the free-energy framework for modelling perception and learning https://t.co/8HXzJ5CQyC

Aug 28, 2020 · 1 like · 12,823 followers View post →

Richmond Stace - The Pain Coach

@painphysio · X

RT @dimitrisbolis: A tutorial on the free-energy framework for modelling perception and learning https://t.co/TFOtUGonpV

Jul 30, 2019 · 2 shares · 9,684 followers View post →

Eros Carvalho

@filosofemas · X

RT @dimitrisbolis: A tutorial on the free-energy framework for modelling perception and learning https://t.co/TFOtUGonpV

Jul 29, 2019 · 2 shares · 3,177 followers View post →

CLaE

@leafs_s · X

Journal of Mathematical Psychology February 2017 A tutorial on the free-energy framework for modelling perception and learning https://t.co/7wtftruAC4

May 1, 2019 · 1 like · 28,468 followers View post →