Neurobiology 204: Neurophysiology of Central Circuits
Spring 2013

Time: Mondays and Wednesdays, 10:00am - 12:00pm

Location: Goldenson Building 229

Co-Directors: Rachel Wilson and Rick Born
Faculty: Rick Born, John Assad, Michael Do, Chris Harvey, Margaret Livingstone, John Maunsell, Rachel Wilson
TAs: Allison Baker, Joe Bell, Andreas Liu

The mission of this course is to equip students with the knowledge they need to understand the fundamental concepts underlying current research in systems neuroscience.

PREREQUISITES

Attending the first class meeting is a prerequisite for attending the rest of the course, except by prior permission from one of the course directors. Basic facility with MATLAB is essential to completing some homeworks. Neuro 200/HST-130 (“Introduction to Neuroscience”) is recommended but not strictly required; if you have not taken this course, please let the instructors know at the first class meeting.

Schedule

Wednesday class will be a lecture, and Monday class will be a group discussion of a paper.

Unit

Theme

Faculty

Wed lecture

Mon discussion

assignment (due Mon)

1

Receptive fields: what, where, why?

Born / Wilson

Jan 30
Mini-syllabus
Lecture notes

Feb 4
Gollisch & Meister 2008

paper summary

2

Setting the limits of sensory detection

Do

Feb 6
Mini-syllabus
Lecture notes

Feb 11
Okawa et al. 2010

paper summary

3

Information and neural computations

Wilson

Feb 13
Mini-syllabus
Lecture notes

(no class Feb 18)

(none)

4

Adaptation and efficient coding

Do / Liu

Feb 20
Mini-syllabus
Lecture notes

Feb 25

paper critique

5

Timing and precision in neural coding

Assad

Feb 27
Mini-syllabus
Lecture notes

Mar 4
Mainen and Sejnowski, 1995
Maimon and Assad, 2009

paper critique

6

Cortical architecture and computations

Born / Wilson / Baker / Bell

Mar 6
Barlow, 1986
Lecture Notes

Mar 11
Mini-syllabus
Song et al., 2000
modelNeuron.zip

simulation exercise

7

Dynamics in neural microcircuits

Harvey

Mar 13
Mini-syllabus

Mar 25
Long and Fee, 2008

experimental proposal

8

Navigation: experiment and theory

Harvey

Mar 27
Mini-syllabus
Lecture notes

Apr 1
Jezek et. al., 2011
Supplement

paper critique

9

Neurons and perception

Maunsell

Apr 3
Mini-Syllabus

Apr 8
Simulations.zip
MATLAB Debugger

simulation exercise

10

Plasticity and learning

Born

Apr 10
Mini-Syllabus
Lecture Notes
Raymond et al., 1996

Apr 15
DeZeeuw et al., 1998
Authority and American Usage (DFW)

simulation exercise

11

Cortical modules: how do we get them and what are they good for?

Livingstone

Apr 17
Mini-Syllabus

Apr 22
Rust and DiCarlo, 2012

paper critique

12

Attention

Maunsell

Apr 24
Mini-Syllabus

Apr 29
Lovejoy and Krauzlis, 2010

simulation exercise


HOMEWORK



TECHNICAL BACKGROUND MATERIAL

Additional background on some of the statistical and analytical methods we occasionally encounter in the course can be found here.


Grading

Grades will be lowered for repeated absenteeism or arriving late to class. Final grades will be computed as follows: homework - 80%, class participation - 20%. 


PREVIOUS OFFERINGS

 Syllabi from previous years are available from 2006, 2007, 2008, 2009, 2010, 2011, and 2012.