The topology of interpersonal neural network in weak social ties
https://doi.org/10.1038/s41598-024-55495-7
https://doi.org/10.1038/s41598-024-55495-7
Nature
The topology of interpersonal neural network in weak social ties
Scientific Reports - The topology of interpersonal neural network in weak social ties
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Mind captioning: Evolving descriptive text of mental content from human brain activity
https://doi.org/10.1101/2024.04.23.590673
https://doi.org/10.1101/2024.04.23.590673
bioRxiv
Mind captioning: Evolving descriptive text of mental content from human brain activity
A central challenge in neuroscience is decoding brain activity to uncover the mental content comprising multiple components and their interactions. Despite progress in decoding language-related information from human brain activity[13][1]−[4][2], generating…
Stable, chronic in-vivo recordings from a fully wireless subdural-contained 65,536-electrode brain-computer interface device
https://www.biorxiv.org/content/10.1101/2024.05.17.594333v1
https://www.biorxiv.org/content/10.1101/2024.05.17.594333v1
bioRxiv
Stable, chronic in-vivo recordings from a fully wireless subdural-contained 65,536-electrode brain-computer interface device
Minimally invasive, high-bandwidth brain-computer-interface (BCI) devices can revolutionize human applications. With orders-of-magnitude improvements in volumetric efficiency over other BCI technologies, we developed a 50-μm-thick, mechanically flexible micro…
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Neuralink Compression Challenge
"Compression is essential: N1 implant generates ~200Mbps of eletrode data (1024 electrodes @ 20kHz, 10b resolution) and can transmit ~1Mbps wirelessly.
So > 200x compression is needed.
Compression must run in real time (< 1ms) at low power (< 10mW, including radio)."
https://content.neuralink.com/compression-challenge/README.html
"Compression is essential: N1 implant generates ~200Mbps of eletrode data (1024 electrodes @ 20kHz, 10b resolution) and can transmit ~1Mbps wirelessly.
So > 200x compression is needed.
Compression must run in real time (< 1ms) at low power (< 10mW, including radio)."
https://content.neuralink.com/compression-challenge/README.html
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Forwarded from NeuroIDSS
here search on arxiv about 'increase working memory using EEG neurofeedback' then on base of timeflux yaml generated json with modifications from science article
https://github.com/neuroidss/create_function_chat
https://github.com/neuroidss/create_function_chat
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Brain-JEPA: Brain Dynamics Foundation Model with Gradient Positioning and Spatiotemporal Masking
https://www.arxiv.org/abs/2409.19407
https://github.com/Eric-LRL/Brain-JEPA
https://www.arxiv.org/abs/2409.19407
https://github.com/Eric-LRL/Brain-JEPA
arXiv.org
Brain-JEPA: Brain Dynamics Foundation Model with Gradient...
We introduce Brain-JEPA, a brain dynamics foundation model with the Joint-Embedding Predictive Architecture (JEPA). This pioneering model achieves state-of-the-art performance in demographic...
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