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Title | Home | Carmena |
Description | Latest news and research The Carmena Lab at UC Berkeley studies the neural and engineering basis of brain-machine interfacing. We leverage neuroplasticity, machine learning, and neurotechnology to ask how the brain learns and controls movement, and to create |
Keywords | N/A |
WebSite | carmenalab.org |
Host IP | 198.71.233.87 |
Location | United States |
Site | Rank |
US$1,284,497
Last updated: 2022-11-03 01:24:14
carmenalab.org has Semrush global rank of 8,240,038. carmenalab.org has an estimated worth of US$ 1,284,497, based on its estimated Ads revenue. carmenalab.org receives approximately 148,212 unique visitors each day. Its web server is located in United States, with IP address 198.71.233.87. According to SiteAdvisor, carmenalab.org is safe to visit. |
Purchase/Sale Value | US$1,284,497 |
Daily Ads Revenue | US$1,186 |
Monthly Ads Revenue | US$35,571 |
Yearly Ads Revenue | US$426,849 |
Daily Unique Visitors | 9,881 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
carmenalab.org. | A | 599 | IP: 198.71.233.87 |
carmenalab.org. | NS | 3600 | NS Record: ns37.domaincontrol.com. |
carmenalab.org. | NS | 3600 | NS Record: ns38.domaincontrol.com. |
carmenalab.org. | TXT | 3600 | TXT Record: google-site-verification=-wmG3zk4raLG0xyJdVqQwgYuiTBowpBt_6_x6x6YtsE |
Research Publications People News Research Publications People News Neurophysiologically informed brain-machine interface systems We leverage neuroplasticity , machine learning , and neurotechnology to ask how the brain learns and controls movement, and to develop smart prosthetics and neurotherapies. Neuroprosthetics Brain-machine interfaces for the treatment of movement and mood disorders. Neuroplasticity Inducing to rewire the brain after an insult, bypass a traumatic lesion, and unlearn maladaptive conditions. Machine Learning Closed-Loop Decoder Adaptation algorithms for Brain-Machine Interfaces Neural Dust Wireless, batteryless implantable sensors could improve brain control of prosthetics, avoiding wires that go through the skull. Co-invented with Michel Maharbiz and EECS colleagues. Read the paper in Neuron Neuroscience We use brain-machine interfaces as a powerful tool to elucidate the neural basis of skill learning and voluntary motor control. Learn more Neurotechnology We |
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