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Welcome to the page of Dr. Tim Christian Kietzmann. I am a Researcher at the MRC Cognition and Brain Science Unit of the University of Cambridge and a member of the Lab of Prof. Niko Kriegeskorte. 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. Focusing mainly on vision, I am particularly interested in understanding the cortical mechanisms that allow us to robustly extract information from the world around us. Questions I ask include: What are the basic computational properties and representational transformations 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?

I approach these questions by combining human neuroimaging with machine learning techniques (pattern recognition, and deep neural network models).

Newsfeed rss

Christmas is coming early this year: the @nvidia GPU grant program has gifted us with a brand new titan xp!

https://developer.nvidia.com/academic_gpu_seeding

7 Questions about academic publishing

7 Questions about academic publishing - my take on the publication process, targeted at MSc students (printed ...

Looking forward to joining Darwin College as a Postdoctoral Research Associate!

https://www.darwin.cam.ac.uk/

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
Twitter Feed

Accounts of sexual harassment in the ML community, worth reading. https://t.co/CrxlckU7RA

So, are there more cases in which the new iPhone X confuses the faces of two unrelated (asian) people? Machine Learning bias striking once again? https://t.co/O2VO2rRblb

As suggested by @tom_hartley & @aidanhorner - men can help by waiting longer before asking. Moderators can help by picking a woman 1st. https://t.co/zpUZzg9VdA

Predictive coding updates with every eye-movement. Study is now out in @SciReports ➡️ https://t.co/H1qJY5ZeqC and includes a complete replication. It also highlights the temporal precision of fMRI research <32 ms. @UofGMVLS @UofGPsychology @HBPSysCogNeuro @BBSRC @ERC_Research https://t.co/nyBz3Od0v4

Brian shared this story at SIPS. It was a powerful and emotional illustration of the enormous stakes behind open science https://t.co/MpHjSV2GXl

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