🦾🔄🧠BayesianBrainers, ActiveInferencers and PredictiveCoders, Check this cool preprint u may like it 👇 The predictive brain in action: Involuntary actions reduce body prediction errors biorxiv.org/content/10.110… Collaboration between Artificial Cognitive Systems Radboud AI & TU München

Our new paper is out! We combine features from an object recognition neural net and a word embedding model to explain whole-brain ECoG responses to a short movie. Work done with Luca Ambrogioni Umut Güçlü Artificial Cognitive Systems and Utrecht BCI nature.com/articles/s4159…

So excited about @kateiyas's PhD defense starting at 10:30 today! Her awesome thesis is titled "Convolutional Neural Networks in Vision Neuroscience" and the livestream to the virtual defense can be followed here: ru.nl/over-ons/diens…

brain2pix: reconstruction of videos from brain activity (mind reading!) tl;dr you have demons living inside your brain biorxiv.org/content/10.110…

Our new #BrainReading preprint "Brain2Pix" is online! Reconstructing Doctor Who from the human brain. 🧠➡️🖼️ doi.org/10.1101/2021.0… w/ Lynn Le, Luca Ambrogioni, @kateiyas, Dr. Yağmur Güçlütürk & Artificial Cognitive Systems

🧠 Successfully reconstructed Doctor Who videos from the human brain! With Luca Ambrogioni @kateiyas Dr. Yağmur Güçlütürk Artificial Cognitive Systems Umut Güçlü ! Check it out on doi.org/10.1101/2021.0

"A nested cortical hierarchy of neural states underlies event segmentation in the human brain". Our new preprint is online! doi.org/10.1101/2021.0… #fmri #eventsegmentation

"End-to-end neural system identification with neural information flow". Our new PLOS Comp Biol methods paper has been published. doi.org/10.1371/journa… w/ @kateiyas, Luca Ambrogioni, Dr. Yağmur Güçlütürk & Marcel van Gerven. #fmri #systemidentification #visualsystem

Our Brain2Pix paper is on the news: "Machine-learning model creates creepiest Doctor Who images yet – by scanning the brain of a super fan" doi.org/10.1101/2021.0… theregister.com/2021/02/12/ai_… Lynn Le @kateiyas

What are the most activating images for regions of the human visual cortex? We synthesized images preferred by voxels in areas like FFA, PPA and LOC inside a convnet trained end-to-end on the Doctor Who data. Check out our poster (1-085) today at #Cosyne21. [1/2]

Our paper is out! Predictive coding is a consequence of energy efficiency in recurrent neural networks cell.com/patterns/fullt…

#MonkeySee: Space-time-resolved reconstructions of natural images from macaque multi-unit activity openreview.net/forum?id=OWwdl… by Lynn Le @paolo_papale katja seeliger Antonio Lozano Thirza Dado Pieter Roelfsema Marcel van Gerven Dr. Yağmur Güçlütürk Umut Güçlü; GitHub github.com/neuralcodingla… #BCI

Today at 11:00-14:00, I’ll present our work on neural decoding: reconstructing images from brain activity using convolutional neural networks and brain-inspired theory to improve model interpretability. Join me in East Exhibit Hall A-C, poster #3808! neurips.cc/virtual/2024/p…