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SUMMARY:Representational Similarity Analysis course / RTG 2753
DTSTART:20261111T080000Z
DTEND:20261113T120000Z
DTSTAMP:20260716T032800Z
UID:indico-event-770@www.conferences.uni-hamburg.de
CONTACT:grk2753@uni-hamburg.de
DESCRIPTION:Speakers: Arjen Alink\n\nThe RTG 2753 pleased to announce a R
 epresentational Similarity Analysis course in the framework of its Methods
  Academy.\nPlease find below the key info: \nDates: 11th to the 13th of 
 November 2026\nTimes: 09:00 to 13:00 on all three days \nInstructors:   
    Dr. Arjen Alink\, UKE & Universität zu Lübeck\n          
                      Ivana Tanasic\, UKE\n      
                          Nahid Hasan\, UKE \nThis
  interactive course will aim to introduce the fundamentals of the Represen
 tational Similarity Analysis including distance measures and decoding anal
 yses\, followed by structured Problem-Based Learning (PBL) breakout and co
 ding sessions\, during which the participants will tackle specific coding 
 objectives in small groups and discuss the results and solutions together.
 \nParticipant Requirements:\n\nEach participant will be required to bring 
 a laptop and have a registered Gmail account to be able to access Google C
 olab\nThe participants will be encouraged to use Claude to speed up their 
 coding\n\n \nPlease refer to the attached programme for an overview of to
 pics. \nDr. Arjen Alink is expert in neuroimaging methodology and develop
 ing advanced multivariate data analyses\, currently working as a group lea
 der of the ERC-funded Knowledge-based Vision Lab based at UKE\, and head o
 f research group at the Institute of Medical Psychology at Universität L
 übeck. Ivana Tanasic and Nahid Hasan are doctoral researchers in Dr. Alin
 k’s Knowledge-based Vision lab. \nPlease note that the course is only o
 pen to members of the RTG 2753.\n\n \n\nhttps://www.conferences.uni-hambu
 rg.de/event/770/
LOCATION:4018 (Von-Melle-Park 5)
URL:https://www.conferences.uni-hamburg.de/event/770/
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