
Lynn Le
@lynnle_ai
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PhD candidate at the Donders Institute. Combining artificial intelligence with neuroscience.
Joined May 2018
🧠Successfully reconstructed Doctor Who videos from the human brain! With @LucaAmb @kateiyas @yagmurgucluturk @artcogsys . Check it out on
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Thank you to my coauthors: @ThirzaDado @seelikat @paolo_papale @AntonioLozanoDL @Pieters_Tweet @yagmurgucluturk @marcelge @umuguc.
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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!.
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RT @seeingwithsound: #MonkeySee: Space-time-resolved reconstructions of natural images from macaque multi-unit activity .
github.com
MonkeySee: Reconstructing natural images from multiunit activity - neuralcodinglab/MonkeySee
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Thank you to my coauthors:.@paolo_papale @seelikat @AntonioLozanoDL @ThirzaDado @Pieters_Tweet @marcelge @yagmurgucluturk @umuguc . Full set of reconstructions:
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Our new work on reconstructing visual perception is online as a #NeurIPS paper!. "MonkeySee: Space-time-resolved reconstructions of natural images from macaque multi-unit activity" 🧠📷: Looking forward to connecting in Vancouver at #NeurIPS2024 !
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RT @artcogsys: Our paper is out! Predictive coding is a consequence of energy efficiency in recurrent neural networks .
cell.com
Connecting the computational principles of brain function to the physical constraints of the brain is important for understanding neural information processing. This is demonstrated by showing that...
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Tagging my amazing co-authors and supervisors here because the tweet was too long:. @LucaAmb @kateiyas @yagmurgucluturk @marcelge @umuguc.
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So excited that my paper is online. Thanks @seeingwithsound for noticing before I did haha ;). Check out this paper if you are interested in reconstructing natural scenes from brain signals! .🧠🖼️✨. Thanks to my amazing co-authors and supervisors :)🙏 🙌.
#Brain2Pix: Fully convolutional naturalistic video frame reconstruction from brain activity by @lynnle_ai @LucaAmb @KSeeliger @yagmurgucluturk @marcelge @umuguc
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RT @andropar: What are the most activating images for regions of the human visual cortex?. We synthesized images preferred by voxels in are….
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RT @umuguc: Our Brain2Pix paper is on the news: "Machine-learning model creates creepiest Doctor Who images yet – by scanning the brain of….
theregister.com
Oodkind look even more terryfing
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RT @umuguc: "End-to-end neural system identification with neural information flow". Our new @PLOSCompBiol methods paper has been published.….
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RT @umuguc: "A nested cortical hierarchy of neural states underlies event segmentation in the human brain". Our new preprint is online! htt….
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🧠 Successfully reconstructed Doctor Who videos from the human brain! With @LucaAmb @kateiyas @yagmurgucluturk @artcogsys @umuguc !. Check it out on
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RT @neuroecology: brain2pix: reconstruction of videos from brain activity (mind reading!). tl;dr you have demons living inside your brain….
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RT @umuguc: Our new #BrainReading preprint "Brain2Pix" is online! Reconstructing Doctor Who from the human brain. 🧠➡️🖼️ .
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RT @yagmurgucluturk: So excited about @kateiyas's PhD defense starting at 10:30 today! Her awesome thesis is titled "Convolutional Neural N….
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RT @ju_berezutskaya: Our new paper is out! We combine features from an object recognition neural net and a word embedding model to explain….
nature.com
Scientific Reports - Cortical network responses map onto data-driven features that capture visual semantics of movie fragments
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RT @PLanillos: 🦾🔄🧠BayesianBrainers, ActiveInferencers and PredictiveCoders, Check this cool preprint u may like it 👇. The predictive brain….
biorxiv.org
The perception of our body in space is flexible and manipulable. The predictive brain hypothesis explains this malleability as a consequence of the interplay between incoming sensory information and...
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