“The neural correlates of consciousness under the free energy principle: From computational correlates to computational explanation”

hello everyone welcome to the active inference live stream and this is the active inference lab i'm daniel friedman and i'm really excited to be having this conversation with my friend blue hi blue welcome to the active inference lab everyone we are an experiment in online team communication learning and practice related to active inference you can find us on our website twitter email discord youtube whatever it may be in the future this is a recorded and an archived live stream so please provide us with feedback so that we can improve on our work all backgrounds and perspectives are welcome here and we will look forward to using good dialogue video etiquette today in 16.0 we're going to be setting the stage for february 16th and february 23rd 2021's events which are both going to be discussions on this same paper we're talking about today and for the 16th we're going to have the author um wanja whis join us for the discussion today in 16.0 the goal is really to set the context for 16.1 and 16.2 which are participatory group discussions the paper we're discussing is the neural correlates of consciousness under the free energy principle from computational correlates to computational explanation by whis and carl fristen november 18th 2020 and there's a link given the video is not uh uh it is an introduction to the context it's not a review or a final word blue and i just gave it a read we're still working through these issues we hope to kind of surface what we're thinking about on those topics and one of the punch lines is that fep it's not a singular theory or definition of consciousness itself but it lends itself to some pretty powerful thinking and theory development in this area and in the video of 16 we're gonna go uh with an introduction section and thanks blue for the structural tip we're gonna talk about the author's perspective on their introduction really aims and claims abstract and roadmap then we'll consider the keywords kind of just where we were at with those topics and where we think there might be a nice bi-directional road kind of on and on on and off ramp from active inference and then we'll actually go through a fair amount of the details of the paper including some of the formalisms close with a couple questions and thoughts and in 16.1 and 16.2 we'll be discussing this paper so that is all for the introduction let's go to the aims and claims of the paper um the paper was as stated blue do you want to um read the aims and claims sure the first aim is how can research on neural correlates of consciousness lead to an explanation of consciousness and what role could the free energy principle the fvp play in this endeavor we have suggested that research on neural correlates should be complemented by research on computational correlates of consciousness cccs in order to yield a computational explanation of consciousness moreover according to the free energy principle neuro neural correlates of consciousness must be defined in terms of neural dynamics not neural states and compulational correlates of consciousness should be defined in terms of probabilities encoded by neural states all we hope to have shown is that a computational explanation of consciousness is possible and that the free energy principle can make a significant contribution to this project big aims and claims um and a lot of interesting things that are already being mentioned a lot of these words we're gonna dive into so if it's their first time hearing some of these terms and acronyms or whether these are things where you're already bringing a lot of priors to the table hopefully you'll be able to look at it in a new light and these are big topics so there's just going to be a lot underlying these aims and claims anything else you'd add on those um cool let's talk about the abstract which is how the authors have distilled and summarized their work for broad uh reading so this is the section that most people read it's kind of like a power law…