University of Cambridge > Talks.cam > Zangwill Club > Brain algorithmics: reverse engineering dynamic information processing in brain networks from EEG/MEG time series

  Browse A-Z

Log in

University Account External (via Google)

🔐 Log In

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

ℹī¸ Information

Brain algorithmics: reverse engineering dynamic information processing in brain networks from EEG/MEG time series

Download to your calendar using vCal

If you have a question about this talk, please contact Louise White .

PLEASE NOTE: THIS TALK HAS NOW BEEN CANCELLED

he ultimate goal of cognitive neuroscience is to understand the brain as an organ of information processing. This will remain difficult unless we understand more directly what information the brain processes when it categorizes the external world. For example, our brain can extract from a face—a powerful social communication tool—information to categorize identity, age, gender, ethnicity, emotion, personality and even health. Though our brain knows what information to use for each task, as information receivers we typically do not have direct access to this knowledge. The current state of cognitive neuroscience is similar – we aim to understand the brain as an information processor, but we do not know what stimulus information it processes. Using face categorisations, I will present a framework and recent examples that started to address this fundamental problem. We start by first isolating what specific information underlies a given face categorization, and then we examine where, when and how the brain networks process this information.

This talk is part of the Zangwill Club series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Average on weekdays: 9011.48120915 kWh Average on weekdays: 9029.77405248 kWh Winstanley Lecture Hall (http://www.acs-cam.org.uk/CRSS/venue/venue_CRSS.html)

Other talks

Shape modes of CP^1 vortices Group Presentation 5 New insights on the turbulent energy cascade from non-equilibrium statistical mechanics Proteomics: Expression Analysis and Subcellular Localisation Tea and Coffee Break Cambridge RNA Club - IN PERSON
 

Š 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity