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Our new preprint "PAM: Predictive attention mechanism for neural decoding of visual perception" introduces a novel approach that learns output queries. Beneficial if queries are n/a, as in neural decoding! w/ Lynn Le Artificial Cognitive Systems Dr. Yağmur Güçlütürk Umut Güçlü biorxiv.org/content/10.110…

What makes humans similar or different to AI? In a new study, led by Florian Mahner and Lukas Muttenthaler and w/ Umut Güçlü, we took a deep look at the factors underlying their representational alignment, with surprising results. arxiv.org/abs/2406.19087 🧵

Our preprint on "PAM: predictive attention mechanism for #neuraldecoding of #visualperception" is featured on New Scientist! 🧠📖♥️ w/ Umut Güçlü (neuralcod.ing) Donders Institute newscientist.com/article/243810… (Preprint: doi.org/10.1101/2024.0…) #attentionmechanism #brainreading

Cool article about work by Thirza Dado and Umut Güçlü, at Neural Coding Lab ( neuralcod.ing ) about perception reconstruction!

1/ Our bioRxiv on optimal placement of high-channel visual prostheses in the human retinotopic visual cortex is up! As #neurotech matures, there will be a critical need for large-scale prediction & optimization of visual coverage in implant users tinyurl.com/optimalVision

Proud to see our Brain2GAN dataset in action! @paolo_papale and Pieter Roelfsema show how IT neurons are tuned to different visual properties 🖼 ---> 🧠🎛

Our paper "MonkeySee: Space-time-resolved reconstructions of natural images from macaque multi-unit activity" is out! #neurips2024

Impressive work on making visual neuroprostheses a practical reality for blind individuals 🔥

Online now: An extensive dataset of spiking activity to reveal the syntax of the ventral stream dlvr.it/THKvYX

Find me on Bluesky: bsky.app/profile/tdado.…