MIT: Independent Activities Period: IAP

IAP 2014 Activities by Sponsor - Brain and Cognitive Sciences

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Design and Development of Media for edX

Sebastian Seung, Professor of Neuroscience

Enrollment: Unlimited: Advance sign-up required
Sign-up by 01/03
Attendance: Participants must attend all sessions

Come design the future of education.

In IAP 2012, the Seung lab hacked conventional approaches in neuroscience research by bringing it to the people. Since, we've inspired 100,000 people around the world to join the quest to map the brain - check out eyewire.org. Now, we're hacking education.

9.01 Intro. Neuroscience is being taken online like no course has before. We believe that best in education doesn’t just mean the best in content. It means the best in people. Over IAP, we’re bringing together people from all areas of expertise to design, develop and star in media (games, simulations, videos) for 9.01X. You'll meet and work with people from Mass Art, Harvard, MIT and Berklee, and the work that you do in class with be featured on edX and in promotional materials. You'll also get a survey of the educational technology landscape with a speaker series throughout the course, featuring professors and designers of existing online courses.

If there's a particular resource that you need in order to make your idea happen, we can work with you to make it available. Anything is possible :) 

To get an idea of what we're working on, check out our demo video

Interested? Contact us and let us know how you can contribute to the best online course in the world.

Sponsor(s): Academic Media Production Services, Brain and Cognitive Sciences, Media Arts and Sciences
Contact: Claire O'Connell, 46-5065, 650 380-5955, CEO@MIT.EDU


Methods for analyzing neural data

Ethan Meyers, Postdoctoral Associate, BCS, MIBR, CBMM, Wasim Malik, Instructor in Anesthesia Harvard Medical School, MGH

Enrollment: Unlimited: No advance sign-up
Attendance: Participants welcome at individual sessions

This course will cover several methods that are useful for analyzing neural data including conventional statistics, mutual information, point process models and decoding analyses. The emphasis will be on explaining the basic mathematical intuitions behind these methods, and giving practical hands-on experience for how these methods can be applied to real data. The class will be divided into lectures that will explain different methods and into laboratory classes where students can analyze real data.  Students are welcome to attend any lecture/lab sessions that they find useful. 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.  Please signup for the class here:  http://tinyurl.com/k5cec6f  

For more information see:  http://web.mit.edu/emeyers/www/IAP_2014/

 

Sponsor(s): Brain and Cognitive Sciences
Contact: Ethan Meyers, 46-5155, 617 447-7814, EMEYERS@MIT.EDU


Lecture 1: Classical Statistics and MI

Jan/21 Tue 03:00PM-04:00PM 46-3189

We will cover classical statistics which is the most widely used method to analyze neural data, and also mutual information analyses.  

Ethan Meyers - Postdoctoral Associate, BCS, MIBR, CBMM


Lab 1: Classical Statistics and MI

Jan/22 Wed 03:00PM-04:00PM 46-5193, Bring a laptop

We will have Matlab exercises where you can try out classical statistics and mutual information analyses on real data. 

Ethan Meyers - Postdoctoral Associate, BCS, MIBR, CBMM


Lecture 2: Decoding and PCA

Jan/23 Thu 03:00PM-04:00PM 46-3189, Bring a laptop

We will cover population decoding analyses and dimensionality reduction analyses

Ethan Meyers - Postdoctoral Associate, BCS, MIBR, CBMM


Lab 2: Decoding and PCA

Jan/23 Thu 04:00PM-05:00PM 46-3189, Bring a laptop

We will have Matlab exercises where you can try out population decoding and dimensionality reduction methods. 

Ethan Meyers - Postdoctoral Associate, BCS, MIBR, CBMM


Lecture 3: Point process models

Jan/28 Tue 03:00PM-04:00PM TBA

We will cover point process models for data analysis.  

Wasim Malik - Instructor in Anesthesia Harvard Medical School, MGH


Lab 3: Point process models

Jan/29 Wed 03:00PM-04:00PM TBA, Bring a laptop

We will have Matlab exercises where you can try out point process models on real data. 

Wasim Malik - Instructor in Anesthesia Harvard Medical School, MGH