RDL logo
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
​
​
Sign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2025 Raw Data Library. All rights reserved.
PrivacyTerms
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. Deep Neurophenomenology

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Chapter in a book
en
2023

Deep Neurophenomenology

0 Datasets

0 Files

en
2023
DOI: 10.4324/9781003084082-3

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
Karl Friston
Karl Friston

University College London

Verified
Maxwell J. D. Ramstead
Wanja Wiese
Mark Miller
+1 more

Abstract

This chapter proposes a treatment of conscious experience based on a variational (free energy) principle for sentient systems and its corollary, active inference. Active inference is a theory that explains how sentient creatures are able to act adaptively and appropriately in their shared ecological niche—and how they change the niche to fit their expectations. In particular, we consider three recent bodies of work in the variational tradition and examine their implications for the study of conscious experience. We argue that these bodies of work provide the foundation for an active inference theory of conscious experience. This theory, hierarchical or deep neurophenomenology, extends the notion of (neural) hermeneutics to systems beyond the brain, crucially including the shared ecological niche. By emphasizing the importance of taking hierarchical spatial scales into consideration, deep hermeneutics is compatible with, but does not entail, the thesis of extended consciousness. Moreover, by focusing on multiple temporal scales, the theory provides the conceptual resources for understanding the puzzling features of time consciousness.

How to cite this publication

Maxwell J. D. Ramstead, Wanja Wiese, Mark Miller, Karl Friston (2023). Deep NeurophenomenologyDOI: https://doi.org/10.4324/9781003084082-3,

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Chapter in a book

Year

2023

Authors

4

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.4324/9781003084082-3

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access