Alessandro Gifford
Postdoc in computational neuroscience at Freie Universität Berlin, with Radoslaw Cichy.
alegifford.com
- We’d love your feedback on BERG (github.com/gifale95/BERG): pretrained encoding models + a Python toolkit for generating in silico neural responses for in silico experimentation. Your input will make BERG more useful and reliable! forms.gle/pybrqcaqdso2... #NeuroAI #CompNeuro #neuroscience #AI
- Reposted by Alessandro Gifford(1/3) The Algonauts session at CCN has concluded: thank you to all who participated! The session recording will soon be available on the YouTube CCN page. #algonauts2025 #NeuroAI #CompNeuro #neuroscience #AI #CCN2025 #hessianAI #CNeuroMod #FUBerlin #GoetheUni
- Reposted by Alessandro Gifford(1/2) The Algonauts Project 2025 challenge results are out! 1st: sdascoli; 2nd: NCG; 3rd: SDA. Congratulations! Join the Algonauts session at CCN to know how they did it. #algonauts2025 #NeuroAI #CompNeuro #neuroscience #AI #CCN2025 #hessianAI #CNeuroMod #FUBerlin #GoetheUni 2025.ccneuro.org
- Reposted by Alessandro GiffordThe Algonauts Challenge submission is over: > 60 teams participated! To be considered in the winners selection process, please post your report/code by July 25th. We will announce the winners on August 5th! #NeuroAI #CompNeuro #neuroscience #AI #CCN2025 #hessianAI #CNeuroMod algonautsproject.com
- Reposted by Alessandro GiffordOn July 6th will open the final Algonauts challenge phase, which will test the out-of-distribution generalization of your models, and determine the challenge winners. We look forward to your submissions! algonautsproject.com
- Vision Deep Neural Networks and Large Language Models complement each other in predicting EEG responses to images, providing a more accurate model of the time course of visuo-semantic processing in the human brain. #NeuroAI #CompNeuro #neuroscience #AI arxiv.org/abs/2506.19497
- Reposted by Alessandro GiffordUsing in silico neuroscience, @alessandrogifford.bsky.social et al. developed a neural control algorithm to modulate the representational relationships between visual cortical areas, revealing how these areas jointly represent the world as an interconnected network. www.nature.com/articles/s41...
- Reposted by Alessandro GiffordUpdate: hessian.AI will sponsor up to 1,600€ for travel expenses and conference registration fees for each of the top three Algonauts 2025 Challenge teams to present their winning models at CCN 2025! @hessianai.bsky.social @cogcompneuro.bsky.social algonautsproject.com
- (1/7) NSD-synthetic is out! NSD-synthetic enables strict out-of-distribution generalization tests critical for the development of more robust models of visual processing and the formulation of more accurate theories of human vision. #NeuroAI #CompNeuro #neuroscience #AI doi.org/10.48550/arX...
- (2/7) NSD-synthetic consists of 7T fMRI responses from the eight NSD subjects for 284 carefully controlled synthetic images, divided into 8 classes.
- (3/7) NSD-synthetic’s fMRI responses reliably encode stimulus-related information over visual cortex.
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View full thread(7/7) NSD-synthetic is freely available at: naturalscenesdataset.org
