woodliceandmen

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Expertise in Bayesian modeling and cognitive neuroscience, focusing on the integration of psychological, neural, and biological frameworks to understand cognition and consciousness.

docxology By docxology schedule Updated 6/11/2026

name: "WoodliceAndMen" description: "Expertise in Bayesian modeling and cognitive neuroscience, focusing on the integration of psychological, neural, and biological frameworks to understand cognition and consciousness." tags: ["active inference", "free-energy-principle", "karl-friston", "bayesian-brain", "predictive-processing", "markov-blanket"]

Of woodlice and men: A Bayesian account of cognition, life and consciousness (with Karl Friston)

Karl Friston, Martin Fortier, Daniel A. Friedman (2018) · Active Inference

Instructions

Use this skill when working with topics related to Free Energy Principle, Karl Friston, Bayesian brain, predictive processing.

When applying this skill:

  1. Explain the Free Energy Principle and its intellectual origins
  2. Apply the Markov blanket formalism to understand biological self-organization
  3. Connect predictive processing to consciousness and cognition

Key Concepts

  • Free Energy Principle
  • Karl Friston
  • Bayesian brain
  • predictive processing
  • Markov blanket
  • consciousness
  • self-organization
  • variational inference
  • philosophy of mind

Methods & Techniques

  • Utilizes Bayesian inference to model cognitive processes and perceptual states.
  • Applies variational Bayes for ensemble learning and probability density dynamics.
  • Examines hierarchical structures in the brain to understand spatial and temporal processes in cognition.
  • Analyzes the reduction of surprise and informational entropy in relation to sensory data and hypotheses.

Key Findings

  • The free energy principle provides a deflationary account of cognition that emphasizes simplicity.
  • Cognitive states can be modeled as posterior probabilities that evolve through Bayesian belief updating.
  • The framework distinguishes between predictive coding and Bayesian models in terms of data processing and hypothesis updating.
  • The relationship between the free energy principle and predictive coding reveals insights into top-down and bottom-up processing in the brain.

Prerequisites

  • Probability theory and Bayesian inference basics
  • Free Energy Principle and generative models

🎯 Consulting & Tutoring

Daniel Ari Friedman, PhD is available for AI Research Consulting and Tutoring related to this skill.

Related Skills

See BIBLIOGRAPHY.md for the complete publication catalog and related papers.

Install via CLI
npx skills add https://github.com/docxology/docxology --skill woodliceandmen
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