Predictive Processing: The State of the Art (and Just Beyond)

This is the 2nd workshop in Andy Clark’s exciting new X-SPECT project, a 4-year ERC-funded project based at the University of Edinburgh, Scotland, UK. 

The full project title is “Expecting Ourselves: Embodied Prediction and the Construction of Conscious Experience”. It aims to leverage recent work on the predictive brain as a way of shedding new light on the nature and possibility of conscious experience. A secondary, but crucial, aim is to relate the resulting story to existing conjectures concerning the neural correlates of conscious experience.

This one-day workshop explores the emerging vision of minds as embodied multi-level prediction engines.  This picture has been steadily gaining ground in the sciences of the mind. But what, if anything, can it contribute to our understanding of mind and cognition? How well supported is this framework? What specific domains of inquiry can it be fruitfully applied to? Apt areas may include low-level perceptual processes, all the way “up” to linguistic or social phenomena.

Confirmed speakers include: 

• Lucia Melloni (Max Planck Institute, Leipzig/NYU)
• John Michael (Warwick/CEU)
• Regina Fabry (Bochum)
• Lars Muckli (Glasgow)
• Peggy Series (Edinburgh) 
• Mark Miller (Edinburgh).

The full programme can be found here (see: http://www.x-spect.org/second-project-workshop.html). 

In addition to talks by the aforementioned speakers, we will also have a session for poster presentations. Please send poster abstracts (200 words approx.) with the subject line “Poster Submission”, to [email protected]. The deadline for submission is midnight on October 21st.

We are asking that people who wish to attend take a minute and register by sending an email with the subject line "Workshop Registration”, and their name and affiliation, to [email protected]." This will help us plan better for catering.

Registration will be free for those with accepted posters and £5 for other attendees. 

Hope to see you all out.

All the best,