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Welcome to the page of Dr. Tim Christian Kietzmann. I am a Researcher and Graduate Supervisor at the MRC Cognition and Brain Science Unit of the University of Cambridge (line manager Prof. Niko Kriegeskorte). I investigate principles of neural information processing using tools from machine learning and deep learning, 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 (@TimKietzmann) for latest updates.




Research Interests

Cognitive Neuroscience meets Machine Learning. My main research aim is to understand 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 noisy sensory information. I ask how the brain learns robust representations from the statistical regularities in the world. What are the underlying computational mechanisms and representational transformations? What are the computational objectives that the visual system optimises for, and how do they shape neural representations? What temporal dynamics govern information processing and how does experience affect them?

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

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Zotero’s powerful word processor integration is now available in Google Docs https://t.co/hDuYlXKfI8

Check out my lab's latest paper: "Density Estimation on Small Data Sets", just published in Physical Review Letters. We describe a new method for estimating smooth probability distributions from small data sets.
https://t.co/dnDNDCqNGK

"continual task learning in minds and machines" - our paper by @timoflesch is out now in PNAS! https://t.co/QVsmNztRNK

Introducing "OpenMTurk": An open-source administration tool for running @amazonmturk studies -> https://t.co/vuUSW9DP5d Github: https://t.co/mveh7IP6qX

Does much of what TurkPrime does (incl microbatching) and it's free! Feedback on usability (etc.) is greatly appreciated!

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