Connectionists: PhD thesis in Strasbourg : Improving visual attention by Computerized Cognitive Training

[Axel Hutt]

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PhD thesis: Improving visual attention by Computerized Cognitive Training 

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Background: 
Attention deficit is a typical symptom of several neuropsychiatric disorders, such as 
schizophrenia, Parkinson's disease and attention-deficit/hyperactivity disorder. A good candidate 
for low-technology stimulation is Computational Cognitive Training (CCT) which involves performance 
feedback in real time. To improve visual attention by CCT, it is important to understand underlying 
neural processes in such a feedback scheme. 

Objectives: 
Our project will elucidate underlying functional networks during visual attention subjected to 
CCT and yields insights into an optimal choice of experimental adaptive training parameters. By combining 
behavioral, MRI- and EEG-experiments as well as computational neural modeling, this project will 
work out a neural model for CCT and consequently will come up with an optimal training protocol for 
single subjects to improve visual attention. 

Candidate Profile: 
Scientist or engineer with a background in computer science and/or neuroscience. 
The candidate should also possess strong skills in scientific programming. 

Host laboratory: 
This PhD thesis will be carried out at the ICube laboratory and the INRIA-team MIMESIS 
on the Hôpital Civil site in Strasbourg, France. The PhD student will actively participate in all stages of the 
project, including data acquisition and analysis and model development. 

Expected starting date: 
October 2024. 

How to apply: 
Email a CV, grades and rank of Master’s degree, and a motivation letter to Dr. Axel Hutt (axel.hutt at inria.fr). 
Interviews of the selected applicants will be done on an ongoing basis. Applications will be accepted until 
end of April 2024. 




-- 
Axel Hutt 
Directeur de Recherche 
Equipe MIMESIS 
INRIA Nancy Grand Est 
Bâtiment IHU 
1, Place de l'Hopital 
67000 Strasbourg, France 
[ https://mimesis.inria.fr/members/axel-hutt/ | https://mimesis.inria.fr/members/axel-hutt/ ] 

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