<< Tuesday, December 12, 2017 >>

Tuesday, December 12, 2017

Lifting Your Spirits: Caring for the Caregiver (BEUHS171)

Workshop | December 12 | 12:10-1:30 p.m. | Tang Center, University Health Services, Class of '42

 Dori Sproul, Alzheimer's Association

 Be Well at Work - Elder Care

Caring for a person with dementia can be one of the most stressful things we will ever do. Stress can take its toll. Learn strategies on how to successfully manage caregiving and provide a good quality of life for yourself and the person you are caring for.

Development Lunch: "Behavioral Economists and Research Transparency" and TBA

Seminar | December 12 | 12:30-1:30 p.m. | 648 Evans Hall

 Kweku Opoku-Agyemang; Damazo Kadengye

 Department of Economics

Student seminar series for development economics student in Econ and ARE.

Dissertation Talk: How the brain explores and consolidates activity patterns to learn Brain-Machine Interface control

Presentation | December 12 | 2-3:30 p.m. | Cory Hall, Hogan Room / 521

 Vivek Ravindra Athalye, Electrical Engineering

 Electrical Engineering and Computer Sciences (EECS)

The Brain-Machine Interface (BMI) is an emerging technology which directly translates neural activity into control signals for effectors such as computers, prosthetics, or even muscles. Work over the last decade has shown that high performance BMIs depend on machine learning to adapt parameters for decoding neural activity, but also on the brain learning to reliably produce desired...   More >

Dissertation Talk: How the brain explores and consolidates activity patterns to learn Brain-Machine Interface control

Seminar | December 12 | 2-3:30 p.m. | Cory Hall, Hogan Room/521

 Vivek Ravindra Athalye, Electrical Engineering

 Electrical Engineering and Computer Sciences (EECS)

The Brain-Machine Interface (BMI) is an emerging technology which directly translates neural activity into control signals for effectors such as computers, prosthetics, or even muscles. Work over the last decade has shown that high performance BMIs depend on machine learning to adapt parameters for decoding neural activity, but also on the brain learning to reliably produce desired neural...   More >

Specifying the Anti-inflammatory Functions of Transcriptional Coregulator GRIP1

Seminar | December 12 | 4-5 p.m. | 114 Morgan Hall

 Inez Rogatsky, Weill Cornell Medicine

 Nutritional Sciences and Toxicology