MIT: Independent Activities Period: IAP

IAP 2017 Activities by Sponsor - Brain and Cognitive Sciences



Introduction to neuron population recording methods

Keji Li, Postdoctoral Fellow, Murat Yildirim, Postdotoral Associate

Enrollment: Unlimited: Advance sign-up required
Sign-up by 01/07
Attendance: Participants welcome at individual sessions
Prereq: Basic Knowledge in linear algebra, Fourier transformation, a

This short course is designed to briefly introduce major invasive and noninvasive neuron recording methods used in neuroscience research today. The various methods for recording of neuron population activity are essential in modern neuroscience as they provide a vital technique in the exploration of: 1) functional role of brain areas; 2) role of specific cells types in local circuits; 3) neural encoding of sensory input or decision; 4) formation of memory and learned skill; 5) other uncharted territory in neuroscience. We target senior undergraduate and beginning graduate students, in the hope that this course will aid in their choice of future field of study and research.

We plan to have an overview of the major methods, then for each method the following topics will be discussed:

1)    theories behind the measurement

2)    implementation and important parameters

3)    analysis of the resulting data

4)    advantages and disadvantages of the method

5)    specific considerations when using the data

6)    notable uses of the method

Sponsor(s): Brain and Cognitive Sciences
Contact: Keji Li, Bldg 46, (617) 253-8785, kejili@mit.edu


Session 1

Jan/18 Wed 01:00PM-05:00PM 46-3189
Jan/19 Thu 01:00PM-05:00PM 46-3189

Session 1:

Optical imaging of intrinsic signal; wide field fluorescent imaging; extracellular electrode recording; their experiment design and data analysis using visual areas as example

Session 2:

Principles and applications of fluorescent imaging; one-photon imaging, confocal imaging, two-photon imaging; three-photon imaging; head-mounted fluorescent imaging; system design and analysis of their data