|Date and Time||Jan. 28, 2013, 3 p.m. - 04:30 p.m.|
Course will cover several useful methods for analyzing neural data including conventional statistics, mutual information, point process models and decoding analyses.
Dates: Mon. Jan 28th, Wed. Jan. 30th and Fri. Feb. 1st
Time: 3:00pm to 4:30pm
Open to MIT Community
Enrollment:Unlimited: Advance sign-up required
Sign-up via web-form by 01/23: http://tinyurl.com/aqedb8y
Attendance: Participants welcome at individual sessions
Ethan Meyers, Postdoctoral Associate, BCS, MIBR
Wasim Malik, Instructor in Anesthesia Harvard Medical School, MGH
You have just run an exciting neuroscience experience and sitting in front of you is a pile of data. The only thing stopping you from publishing your results in Nature concerns turning that pile of data into clear insights about how the brain works. Well rest assured, after taking this course you well on your way having that exciting new publication on your CV.
In this course we will cover several useful methods for analyzing neural data including conventional statistics, mutual information, point process models and decoding analyses. The emphasis will be on discussing how to apply methods that work best, and explaining the basic mathematical intuitions behind these methods. The examples used will focus on neural spiking activity but we will also discuss other types of signals including MEG signals, and local field potentials. Some familiarity with neuroscience and basic statistics will be useful, but we will try to keep the background knowledge to a minimum.
Sponsor(s): Brain and Cognitive Sciences
Contact: Ethan Meyers, 46-5155, 617 447-7814, EMEYERS@MIT.EDU
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