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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 of the University of 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 rss

Deep Neural Networks In Computational Neuroscience – preprint published

http://biorxiv.org/content/early/2017/05/04/133504

We just released a huge free viewing dataset (2.7 million fixations, 949 observers)

http://www.nature.com/articles/sdata2016126

New 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+html

RSA 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 home
Twitter Feed

Our new paper demonstrating that feedforward connections drive cells whereas feedback connections are modulatory:
https://t.co/oS2gTnSUVx

I will never NOT be incredibly impressed by this. No matter how many times I watch it. https://t.co/DqTK9EOSPi

Scientists uploaded a GIF of a galloping horse into live bacteria using Crispr https://t.co/t8VS8D6hJO

@quasimondo your work is astoundingly cool! What sort of input was needed for this one?

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