Prof. Dr. Jakob Hohwy
Monash University, Melbourne
*Predictive Coding and the Mind*
Friday, Saturday | March 3rd-4th, 2017
Start: Friday 12.00 – End: Saturday 13.15
Venue: GA 04/187, Ruhr-Universität Bochum
A. Newen, F. Marchi, T. Schlicht (Bochum); S. Gallagher (Memphis)
1. lecture: Friday 12.00-14.00
/Title/: Prediction error minimization in perception, attention and
action: Inference, hierarchy and precision.
/Description/: This lecture explains the basic elements of the
prediction error minimization framework and shows how it is proposed to
work for perception, for allocation of attention, and for action. The
lecture sets out basic notions of inference in terms of approximate
Bayes, it looks at the key role of the perceptual hierarchy, and of
precisions of prediction errors.
PhD/postdoc-commentaries or papers
2. lecture: Friday: 16.00-18.00
/Title/: Prediction error minimization in neuroscience: rubber hand
illusion, frequency tagging, and other experiments.
/Description/: This lecture discusses the important task of getting
evidence for the prediction error minimization framework. The lecture
delves into a couple of experiments that offer support for the
framework, and discusses how we approach this task in the Cognition &
Philosophy lab at Monash. The talk also briefly opens up some philosophy
of science debates about the status of the framework.
3. lecture: Sat. 9.30-11.15
/Title/: Prediction error minimization and the self: Why should any body
have a self?
/Description/: This lecture seeks to showcase the interesting scope of
the prediction error minimization framework. In particular, the argument
is that a robust, realist notion of self can arise as a natural
consequence of the framework. The talk considers developmental aspects
of this theory of the self, and looks at the possibility of illusions of
Call for commentaries/papers: *
PhDs and Postdocs are welcome to submit an abstract of 500 words to
comment on aspects of his theory or to develop alternative explanations.
We will offer some slots for commentaries or papers related to the
lectures of 30 minutes (20 min. presentation plus 10 min. discussion).
Please submit informally to: firstname.lastname@example.org