Welcome to the page of Dr. Tim Christian Kietzmann. I am an Assistant Professor at the Donders Institute for Brain, Cognition and Behaviour (Radboud University), and a Research Associate at the MRC Cognition and Brain Science Unit (University of Cambridge). 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).
Newsfeed 
Now paper out in PNAS: Recurrence is required to capture the representational dynamics of the human visual system
https://www.pnas.org/content/early/2019/10/04/1905544116Twitter Feed
Our preprint on learning time scales in recurrent neural networks is out!
https://t.co/hIwz08SlVn
@TimKietzmann https://t.co/mYmKzQei8l
Explaining academic publishing to illustrator friend, a thread:
Me: so imagine if you drew something for a mag and then it took a year for them to get back to you, let alone for the thing to come out.
Friend: wow that would suck. (1/n)
"If you can freely decide when to work, you technically never have to work" - I hear this all to often from people outside academia.
*clears throat*: Just because someone is working flexible hours and/or from home does not mean that they can or want to be interrupted at any given time.
Thanks for coming to my TED talk.
