careylab.org valuation and analysis

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Title Carey Lab | Champalimaud Centre for the Unknown, Lisbon,
Description We aim to understand how activity is orchestrated within neural circuits to give rise to behavior. With this in mind, our research focuses on the cerebellum, a brain area that is critical for coordinated motor control and motor learning and whose
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WebSite careylab faviconcareylab.org
Host IP 192.0.78.24
Location United States
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careylab.org Valuation
US$2,240,209
Last updated: 2023-05-13 17:33:13

careylab.org has Semrush global rank of 4,724,696. careylab.org has an estimated worth of US$ 2,240,209, based on its estimated Ads revenue. careylab.org receives approximately 258,486 unique visitors each day. Its web server is located in United States, with IP address 192.0.78.24. According to SiteAdvisor, careylab.org is safe to visit.

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Purchase/Sale Value US$2,240,209
Daily Ads Revenue US$2,068
Monthly Ads Revenue US$62,037
Yearly Ads Revenue US$744,439
Daily Unique Visitors 17,233
Note: All traffic and earnings values are estimates.
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careylab.org. A 299 IP: 192.0.78.24
careylab.org. A 299 IP: 192.0.78.25
careylab.org. NS 86400 NS Record: ns3.wordpress.com.
careylab.org. NS 86400 NS Record: ns1.wordpress.com.
careylab.org. NS 86400 NS Record: ns2.wordpress.com.
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Carey Lab Champalimaud Centre for the Unknown, Lisbon, Portugal Menu Home Publications People Resources Media About Megan Search Search for: Neural Circuits & Behavior We aim to understand how activity is orchestrated within neural circuits to give rise to behavior. With this in mind, our research focuses on the cerebellum, a brain area that is critical for coordinated motor control and motor learning and whose circuitry is well characterized. The lab’s major achievements so far include establishing a quantitative framework to identify specific cerebellar contributions to mouse locomotor coordination ( Machado, Darmohray et al. , eLife 2015; Machado et al., eLife 2020); dissecting circuit mechanisms for modulation of cerebellar learning by behavioral state ( Albergaria et al. , Nature Neuroscience 2018); and establishing a paradigm for locomotor learning in mice ( Darmohray et al. , Neuron 2019). Our ongoing work combines quantitative behavioral analysis and neurophysiology with
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