CRCNS US-Israel Data Sharing Proposal: EEG-DaSh electroencephalography data and tool shari — NSF Award to University of California
The EEG-DaSh project aims to enable Artificial Intelligence (AI)-driven breakthroughs in the realms of electroencephalography (EEG) and magnetoencephalography (MEG) by providing the necessary data and associated tools to process them. EEG and MEG are widely used methods for recording brain activity, which can be harnes
| Award title | CRCNS US-Israel Data Sharing Proposal: EEG-DaSh electroencephalography data and tool shari |
|---|---|
| Award ID | 2423943 |
| Awardee | University of California-San Diego |
| City | LA JOLLA |
| State | CA |
| Amount obligated | $865,700 |
| Principal investigator | Arnaud Delorme |
| Program | CRCNS-Computation Neuroscience |
| Start date | 01/01/2025 |
| Abstract | The EEG-DaSh project aims to enable Artificial Intelligence (AI)-driven breakthroughs in the realms of electroencephalography (EEG) and magnetoencephalography (MEG) by providing the necessary data and associated tools to process them. EEG and MEG are widely used methods for recording brain activity, which can be harnessed through AI to gain deeper insights into brain function and neurological disorders. EEG-DaSh addresses the current lack of large-scale, standardized datasets by providing annota |
| Source | NSF Awards |
$799/mo
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