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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To ask the right questions it’s useful to keep some distance from the field. If you only read the latest NeurIPS papers that everyone reads you might get locked into a frame of mind and work on exactly the same as everyone else. Excellent read: https://t.co/9mEbMeO05Q

Please help me welcome @KamilaJozwik to the Twitterverse!

@marieke_mur’s new lab at western is looking for PhD students — amazing academic environment and high-field MRI facilities. https://t.co/t7BP6IVDBT and https://t.co/FxZdnMfexT

wow! that effect is much larger than I expected up to 30-40% of IF https://t.co/F0gjpMtWHR

How do people born blind represent rainbows or colors, that they can't perceive? How do we represent abstract concepts, like freedom?

Our new @NatureComms used blind people's no visual experience to study semantic knowledge representation in the brain

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