The paper accompanying the Python library THINGSvision by Lukas Muttenthaler and Martin Hebart has now been published at Frontiers in Neuroinformatics! The library allows extracting activations for a wide range of neural networks using both models based on Pytorch and Tensorflow. Importantly, even randomly initialized network activations can be extracted for a meaningful baseline, as well as activations for networks trained on Ecoset. Congratulations, Lukas!
Julia is leaving our lab to conduct her Master's thesis at Yale University. All the best for your time there!
Marie recently joined our lab as a data scientist, funded by Cneuromod and member of both teams! She'll be working on the new THINGS MRI dataset and building computational models of vision and memory. We're very happy to have you, Marie!
We're happy to have Weronika Kłos join our lab! She will be working as a research assistant on deep learning and computational neuroscience. Welcome to the lab, Wero!
We have three new lab members: Ülkü Tonbuloglu and Carina Daun will be starting as research assistants, and Julia Norman will be starting as an intern and research assistant! Welcome to the VICCo group!
There is another Johannes leaving our lab: Johannes Roth completed his Master's project on creating synthetic stimuli that maximally activate individual voxels in the human visual system. Having completed his Master's, he will continue working in his recently founded startup on data analysis and web development. We wish him all the best for his future!
Johannes Singer completed his Master's project on the representation of object drawings in deep neural networks and has started a PhD in the group of Radek Cichy. We wish him all the best! The good news: We collected MEG and fMRI data and will continue to collaborate on this ongoing project. Yay!
Johannes Roth's and Katja's Cosyne abstract "Synthesizing preferred stimuli for individual voxels in the human visual system" got accepted as a poster to the conference. Congratulations!
Bradley Love and Brett Roads wrote a thought-provoking comment on our work on revealing object dimensions through similarity judgments, which appeared in Trends in Cognitive Sciences.
The ViCCo group's work on revealing the core dimensions underlying our mental representations of objects using similarity judgments made it to the November 2020 cover of Nature Human Behaviour!
Johannes Singer's paper "The representation of object drawings and sketches in deep convolutional neural networks" got accepted to the NeurIPS workshop "Shared Visual Representations in Human and Machine Intelligence" that takes place on December 12 2020. Congratulations!