ReviewFrontiers in computational neuroscience2020
An Investigation of the Free Energy Principle for Emotion Recognition.
Review in Frontiers in computational neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 42 citations in OpenAlex.
- Errors or Adaptations? A Critical Review of Predictive Processing in Psychiatry.Behavioral sciences (Basel, Switzerland) · 2026Review
- The Constrained Disorder Principle May Account for Consciousness.Brain sciences · 2024Review
- Stochastic surprisal: An inferential measurement of free energy in neural networks.Frontiers in neuroscience · 2023Article
- The Free Energy Principle for Perception and Action: A Deep Learning Perspective.Entropy (Basel, Switzerland) · 2022Review
- Piloting the Update: The Use of Therapeutic Relationship for Change - A Free Energy Account.Frontiers in psychology · 2022Article
- What Individuals Experience During Visuo-Spatial Working Memory Task Performance: An Exploratory Phenomenological Study.Frontiers in psychology · 2022Article
- The constrained disorder principle defines living organisms and provides a method for correcting disturbed biological systems.Computational and structural biotechnology journal · 2022Article
- The 2-D Cluster Variation Method: Topography Illustrations and Their Enthalpy Parameter Correlations.Entropy (Basel, Switzerland) · 2021Article
- Active Inference Through Energy Minimization in Multimodal Affective Human-Robot Interaction.Frontiers in robotics and AI · 2021Article
- Bacterial Translocation Associates With Aggression in Schizophrenia Inpatients.Frontiers in systems neuroscience · 2021Article
- Trust as Extended Control: Human-Machine Interactions as Active Inference.Frontiers in systems neuroscience · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper offers a prospectus of what might be achievable in the development of emotional recognition devices. It provides a conceptual overview of the free energy principle; including Markov blankets, active inference, and-in particular-a discussion of selfhood and theory of mind, followed by a brief explanation of how these concepts can explain both neural and cultural models of emotional inference. The underlying hypothesis is that emotion recognition and inference devices will evolve from state-of-the-art deep learning models into active inference schemes that go beyond marketing applications and become adjunct to psychiatric practice. Specifically, this paper proposes that a second wave of emotion recognition devices will be equipped with an emotional lexicon (or the ability to epistemically search for one), allowing the device to resolve uncertainty about emotional states by actively eliciting responses from the user and learning from these responses. Following this, a third wave of emotional devices will converge upon the user's generative model, resulting in the machine and human engaging in a reciprocal, prosocial emotional interaction, i.e., sharing a generative model of emotional states.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.