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Deep Neural Networks In Computational Neuroscience – preprint published

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

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

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

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 Read more

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. Read more

Move to Cambridge complete

MRC CBU is my new scientific home Read more

Teaching Evaluation is in – I cannot stop smiling.

The results of my teaching evaluation are in, and I could not be happier. Teaching is easy with such smart, interested and inquisitive students, thanks for a great semester. Read more

DFG PostDoc Fellowship Awarded

Fantastic news: The DFG is funding my PostDoc at the MRC Cognition and Brain Sciences Unit in Cambridge to work in the lab of Niko Kriegeskorte! Exciting times ahead! Read more

MEG paper on category learning accepted in NeuroImage

Abstract: The human visual system is able to distinguish naturally occurring categories with exceptional speed and accuracy. At the same time, it exhibits substantial plasticity, permitting the seamless and fast learning of entirely novel categories. Here we investigate the interplay of these two processes by asking how category selectivity emerges and develops from initial to extended category learning. For this purpose, we combine a rapid event-related MEG adaptation paradigm, an extension of fMRI adaptation to high temporal resolution, a novel spatiotemporal ... Read more

Back in the lab!

The transition from NZ campervan to the lab is complete, I am back. Read more

Up Up and Away – On Paternal Leave till mid March

we will be living in a van and traveling through New Zealand - please do not expect timely email responses. Read more
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