PPiMP Network · Predictive Processing
Hosted by Andrea Greve and Helen Blank
Registration has closed. Free to attend for registered participants.
Three days in Bochum bringing together the PPiMP network, the DFG-funded research network for predictive processing in memory and perception. Guests are warmly invited to join.
The programme features talks, keynotes, and discussions. It opens with a welcome reception and a poster session on Tuesday evening and closes on Thursday at midday.
University of Sussex
Remembering the present and predicting the past
UCL
The synergistic interaction between learning and perception
University of Glasgow
The influence of experience on predictions in early visual cortex: Human fMRI with monkey and rodent neuroscience
The main sessions take place on the Ruhr University Bochum campus. The Tuesday reception is at the Blue Square in the city centre.
Tentative. Speakers and talk titles are added as they are confirmed and may be updated.
Ruhr University Bochum, Mensa building
Tagungsraum II (Wednesday) and Tagungsraum IV (Thursday), next to the Rote Bete restaurant above the Mensa
Holiday Inn Express Bochum by IHG
Viktoriastraße 14b, 44787 Bochum
Hotel nights are arranged for network members and their nominated ECR
Registration has closed
Free, includes lunch for all registered participants
Bochum Hauptbahnhof (main station) is served by long-distance and regional trains. The nearest major airport is Düsseldorf (DUS), with direct trains to Bochum Hauptbahnhof (about 35 minutes).
Kortumstraße 90, 44787 Bochum
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Mensa building, Universitätsstraße 150, 44801 Bochum
Please note: the U35 currently does not stop at Ruhr-Universität, as the station is being renovated. Get off at Gesundheitscampus or Lennershof instead and walk to the campus.
From Gesundheitscampus there are two paths: the solid line on the map leads through a small wooded area, the dashed line runs along the street. Both end with a flight of stairs up to the path to the Mensa.
Within Bochum, the U35 needs a fare level A ticket from the machines at the stations; a Deutschlandticket is also valid.
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Map data © Google; campus plan © Ruhr University Bochum.