Much debate has occurred over whether the FEP per se has anything to say about consciousness. We present an affirmative answer to this question, and provide a model of consciousness that follows directly from applying the FEP to model well known human neuroanatomy 2/11
🖥️ We build on the “inner screen hypothesis,” originally proposed by Chris Fields, Jim Glazebrook, and @drmichaellevin, which suggests that a core feature of conscious systems is an internal boundary or screen, separating it into at least two distinguishable components 3/11
This hypothesis builds on the quantum information theoretic formulation of the FEP (qFEP), developed by Fields and colleagues for the last few years. The qFEP formulation is scale-free, and draws from the holographic principle in physics (see sciencedirect.com/science/articl…) 4/11
📽️ The quantum information theoretic lens enables us to cast the boundaries of physical systems (i.e., their Markov blankets) as holographic screens, and to model interactions between two systems as reading and writing on, or projecting onto, a holographic screen 5/11
We reframe classical predictive coding hierarchies using the qFEP formulation, emphasizing that each level of the processing hierarchy has its own Markov blanket, via which it interacts with other systems, and that the whole set of screens has a nested, holographic structure 6/11
We suggest that consciousness may be linked to deeper levels of the nested stack, and that subcortical neuromodulatory systems play essential roles for consciousness, with “mental solids” (in @Mark_Solms’s terms) evinced by subcortical projections 7/11
On the present account, consciousness is an attribute of things that, like brains, possess an irreducible Markov blanket, whose active states (in the case of the brain) exert a neuromodulatory influence over (external) neuronal dynamics 8/11
Because these internal states cannot be further partitioned, no subset can be influenced by active states, implying that consciousness must be phenomenologically transparent, in @ThomasMetzinger’s terms 9/11
🎭 Finally, embracing a radical and fresh take on Cartesianism, we propose an observer-relative dualism between states that are internal and external to a Markov blanket 10/11
The paper aims to comprehensively re-introduce the FEP. The first part of the paper exhaustively reviews applications of FEP in the literature, and in so doing addresses all currently relevant philosophical and technical criticism that has been raised recently 2/7
The second part of the paper explores recent work establishing the profound consequences of the long-known but little appreciated equivalence or duality between the FEP and the principle of maximum entropy under constraints, revealing that they are two sides of the same coin 3/7
“We know you like response threads, so we wrote a response thread to your response thread”:
A 🧵in response to @WiringTheBrain’s 🧵 in response to my 🧵 about our new paper “On Bayesian mechanics: A physics of and by beliefs”
Hi @WiringTheBrain, thanks for the friendly critical engagement with our paper (arxiv.org/abs/2205.11543). It’s appreciated and healthy. You raise important questions here. Thanks also for reading the preprint so quickly (less than 2 days after we preprinted), I appreciate it 2/32
I agree that the maths is challenging and apologise if our presentation isn’t an easy read for everyone. It’s not for lack of trying, promise! We tried to be as reader-friendly as possible, but as we say in Footnote 1, these fields are technical, so we presuppose a fair bit 3/32
The paper presents our attempt to “soft reboot” the FEP literature to reflect the evolution of our thinking about the FEP over the last several years. I haven’t been this excited to share a paper with you in a very long time. The paper makes three main contributions 2/21
First, we present a comprehensive (re)introduction to the FEP and the field of study that has consolidated around it and related work over the last two decades or so, which has been called “Bayesian mechanics” (BMech) (e.g. royalsocietypublishing.org/doi/10.1098/rs… by @lancelotdacosta et al.) 3/21
Publication alert! A thread on our new paper, “Towards a computational phenomenology of mental action: modelling meta-awareness and attentional control with deep parametric active inference,” with @lars_sandved, @casper_hesp, Jérémie Mattout, @Antoine_Lutz, and Karl Friston 1/13
Our new paper presents an argument to the effect (i) that conscious mental action is predicated on a higher-level access to cognitive states and (ii) that the resources of parametrically deep active inference can enable us to formalize this form of active meta-awareness 2/13
Perhaps most importantly, we argue that (iii) that understanding this inferential architecture constitutes an important first step towards a formal, computational neurophenomenological account of cognitive control in general 3/13
The renewed Bayesian mechanics and the mathematical foundations of the free-energy principle and active inference: A thread.
“Bayesian mechanics for stationary processes” arxiv.org/abs/2106.13830 1/14
I can’t overstate how happy I am to see this new work by @lancelotdacosta, Karl Friston, @conorheins, and Grigorios Pavliotis. The preprint provides new mathematically rigorous derivations for a Bayesian mechanics under the free-energy principle 2/14
This paper is of great importance for the active inference community for several reasons.
First, the paper responds to a significant issue in the literature on the free-energy principle, due the fact that it was mainly developed by physicists, not mathematicians 3/14
A long thread on a new paper just uploaded to the PsyArXiv: “Laying down a forking path: Incompatibilities between enaction and the free energy principle” psyarxiv.com/d9v8f
1/23
This new paper, written by a formidable team of scholars from the enactive approach (Ezequiel Di Paolo, @evantthompson, and Randall Beer), aims to establish that the enactive approach and the free energy principle (FEP) are deeply incompatible 2/23
This paper has been long-awaited (by me, at any rate). I have long been a fan of the enactive approach. A central part of my own work, circa 2018, consisted in an attempt to build bridges between the enactive approach and the FEP. (TBH, I’m not sure where I stand anymore) 3/23