@LabSarma

Sri Sarma Lab at @JohnsHopkins. Linear Systems, Precision Medicine, Computational Neuroscience. Members of @ICM_JHU and @JHUBME.

 Baltimore, MD
sarmalab.icm.jhu.edu/
Joined December 2018
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Replying to @JohnsHopkins
@JohnsHopkins Engineering @HopkinsEngineer is making a massive investment in AI. The plan is so ambitious and unique that it’s worth breaking down the announcement in detail. This will transform the landscape of engineering research and education. 🧵 hub.jhu.edu/2023/08/03/johns…

Johns Hopkins makes major investment in the power, promise of data science and artificial intelli...

A new institute will bring together experts from a wide range of disciplines to capitalize on the rapidly emerging potential of data to fuel discovery

hub.jhu.edu
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At Sarma Lab we are developing tools to diagnose and treat epilepsy and other neurological disorders. This drawing is by @neuro_amir, who is currently working on developing a full pipeline for automated seizure detection and analysis that can be implemented in clinics.
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Our talented students are getting ready for #SfN2023 conference in DC.
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Celebrating the start of the Fall semester. #BlueJays!
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Thank you to everyone who joined us at our Grad Welcome event yesterday!👏 Stay tuned for more exciting updates and events from ISAH in the coming fall! 🌐
ISAH for Graduate Students@ISAH_JHU_Grads20 Aug 2023
The grad welcome event is happening now! Come join us at the Glass Pavilion! 🤩
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Congratulations to Rachel June Smith of @UABNews @UABEngineering (mentored by @LabSarma), recipient of an AES Junior Investigator Award for her work, "Neural resonance as a biomarker of the epileptogenic network" #epilepsy #epilepsyresearch #neurotwitter #academictwitter
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📢 Exciting News! 🎉 Our talented undergrad lab mate, Daniel Wang 🧠🔬, wowed us with his presentation on "Creating a Decoding Tool to Identify Neural Correlates of Behavior: Decision Making Case Study" 🤯📊. Advised by Dr. Sarma and Dr. @DanielDorman 🤝. Way to go, Daniel! 🌟
Daniel Wang presenting his summer work on Creating a Decoding Tool to Identify Neural Correlates of Behavior: Decision Making Case Study.

ALT Daniel Wang presenting his summer work on Creating a Decoding Tool to Identify Neural Correlates of Behavior: Decision Making Case Study.

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Replying to @computingnature @marius10p
Great work!
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You can explore your data in the #Rastermap graphical user interface:
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We had the pleasure of having Dr. Carey Priebe presenting in NCSL lab meeting about dynamical systems from statistical points of view. As well as some good food coordinated by Tony ^_^!
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Our first-year PhD students traveled to Alexandria for their first retreat. The event consisted of ice breakers, community-building activities, faculty research talks, a panel and ethics discussion, and a live illustration by Professor Nitish Thakor.
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What can we learn from pre seizure dynamics in an epileptic 🧠. Does the 🧠 take a similar pattern in the latent dimensions to reach a seizure? Lets look at long-term (3 days) of processed EEG from JHMI to address these questions! #IEEE #NER I will present at IEEE NER. – at Baltimore, MD
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Daniel, Amir, and Sophia presented last week at #IEEENER 11th International IEEE EMBS Conference on Neural Engineering!
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