Welcome to the page of Dr. Tim Christian Kietzmann. I am a PostDoctoral Researcher in the Lab of Dr. Niko Kriegeskorte at the MRC Cognition and Brain Science Unit in Cambridge. I investigate principles of neural information processing using tools from machine learning and pattern recognition, applied to neuroimaging data recorded at high temporal (EEG/MEG) and spatial (fMRI) resolution. Feel free to contact me with any questions or paper requests, and follow me on twitter for latest updates.
Research Interests
Cognitive Neuroscience meets Machine Learning. My main research focus is on (dynamic) information processing in the brain. I am particularly interested in understanding the cortical mechanism underlying invariant object- and face-recognition. Questions I ask include: What are the basic computational and representational properties at the different stages of processing? What temporal dynamics govern visual processing and how does experience affect them? What is the role of overt visual attention in visual perception? To find answers to these questions, I use neuroimaging methods (fMRI, as well as EEG/MEG) in combination with machine learning and pattern recognition techniques, psychophysics and computational modeling.
Newsfeed 
Deep Neural Networks In Computational Neuroscience – preprint published
http://biorxiv.org/content/early/2017/05/04/133504We just released a huge free viewing dataset (2.7 million fixations, 949 observers)
http://www.nature.com/articles/sdata2016126New paper comparing human and macaque viewing behavior out now in Cerebral Cortex (open access)
http://cercor.oxfordjournals.org/content/early/2017/01/10/cercor.bhw399.full.pdf+htmlRSA paper on the dynamics of facial viewpoint encoding – accepted @ JoCN
Very happy that our EEG/RSA paper will soon appear in the Journal of Cognitive Neuroscience.Move to Cambridge complete
MRC CBU is my new scientific homeTwitter Feed
Read an interview with Kalanit Grill-Spector, today's plenary speaker #ohbm2017
https://t.co/V3qlsPBn0G
