Birkbeck, University of London Featured PhD Programmes
Norwich Research Park Featured PhD Programmes
FindA University Ltd Featured PhD Programmes
University of Kent Featured PhD Programmes
Cardiff University Featured PhD Programmes

Joint PhD with HUJI: The rhythm of predictive coding


Project Description

This project investigates the role of brain oscillations in the mechanisms involved in predictive coding. Predictive coding is an influential framework of cortical organisation. However, the canonical predictive coding model treats cortical processing as a stationary process: input remains constant and the sensory hierarchy converges on a minimum-error computational solution. Of course, the real world is dynamic and ever-changing, and existing predictive coding models could not handle time-variant input. However, earlier this year, PI Hogendoorn proposed an extension to the canonical predictive coding framework that not only allows predictive coding to process time-variant input, but that would allow also the network to compensate for the delays that inevitably accumulate during neural transmission (Hogendoorn & Burkitt, eNeuro 2019). This project investigates how this might be achieved at the neural level.

The successful candidate will start this project at UoM, where he/she will be trained by PI Hogendoorn in the theoretical basis of predictive coding and related concepts and start collecting psychophysical and EEG data. He/she will transfer to HUJI after year 1 to receive additional training in time-frequency analyses of both behaviour and EEG signals in the lab of PI Landau, and learn to identify the signatures of rhythmic neural mechanisms in those signals as well as carry out further analyses. In the final year of his/her candidature, the student will return to UoM to finalise the thesis and integrate the empirical work with the theoretical framework of predictive coding under the guidance of PI Hogendoorn.

Year 1: UoM – training in the theoretical basis of predictive coding and related concepts and start collecting psychophysical and EEG data

Year 2: HUJI – training in time-frequency analyses of both behaviour and EEG signals, learning to identify the signatures of rhythmic neural mechanisms in those signals as well as carry out further analyses

Year 3: UoM – finalise the thesis and integrate the empirical work with the theoretical framework of predictive coding


The successful candidate will have:

– An Undergraduate (with Honours) or Master’s degree in Cognitive (neuro)science, Biology, Psychology, Computer Science, or related discipline

– An affinity with programming, including demonstrable programming skill in Matlab

– Excellent English communication skills (written and spoken)

– Intrinsic motivation, initiative, and an ability to work independently

– An affinity for international collaboration

– Previous research experience with experimental psychology or cognitive neuroscience techniques (psychophysics, EEG, fMRI, TMS etc) is desirable.

Submissions should include:

a) a cover letter addressing the motivation for the application and the selection criteria

b) a curriculum vitae with the relevant information (including previous publications)

c) a transcript of recent university marks and certificates of previous degree(s).

Funding Notes

This PhD is a part of an international research training group between the University of Melbourne (UoM) and the Hebrew University of Jerusalem (HUJI).The successful candidate will spend at least a year at each institution over the course of their candidature and be eligible to graduate with a jointly awarded PhD recognised with a testamur from each University.

View Website for more information.

Email Now

Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here
* required field
Send a copy to me for my own records.

Your enquiry has been emailed successfully





FindAPhD. Copyright 2005-2019
All rights reserved.