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Learning Outcomes

The primary goal of this module is to understand (a) how neurons, assembled into circuits, mediate behavior and (b) how technology can remediate neural dysfunction by affecting the circuits.

This course draws on basic knowledge of the cell biology and physiology of neurons.

TopFormal prerequisites: LSM3215 and LSM3216

Students who have received permission to take LSM4213, but who have not taken the formal prerequisites are responsible for self-studying the required background material. There are many good resources one can use for such self-study; for example, one may use Chapters 2-7, 25 and 31 of the Neuroscience textbook (2nd edition) by Purves and colleagues which can be browsed online https://www.ncbi.nlm.nih.gov/books/NBK10799; or Section 1, Chapters 1-8 and Section 4, Chapter 7 of the Neuroscience Online textbook from the Department of Neurobiology and Anatomy at the McGovern Medical School of The University of Texas Health Science Center at Houston which can be read online at https://nba.uth.tmc.edu/neuroscience/.

Teaching Modes

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Lectures, practical, tutorials, and self-directed learning (SDL)

Syllabus

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S/N	Topics		Proposed Lectures
	Sensation and motor behaviour 1. Functional neuroanatomy (2hr) 2. General scheme of sensory processing (2hr) 3. Somatosensation and pain (2hr) 4. Basis of vision (2hrs) 5. Organizational features of motor processing (2hr)		10 hr Sanjay Khanna
	Higher brain functions and synaptic plasticity 6. Object recognition: edge detection and simple forms (2 hr) 7. Object recognition: complex objects, face recognition and beyond (2 hr) 8. Memory (2 hr) 9. Memory and goal directed behaviour (2 hr) 10. Neural basis of working memory (2 hr) 11. Developmental plasticity in vision (2 hr) 12-13. Plasticity and simple motor learning (4 hr)		16 hr Andrew Tan Fu Yu
	Neurotechnology 14. Parkinson’s disease and deep brain stimulation (2 hr) 15. Tetraplegia and brain-machine interfaces (2 hr) 16. Practical: muscle-machine interface (4 hr)		4 hr + 4 hr Andrew Tan Wong Boon Seng
Total Lectures: 30 hrs Practical: 4 hrs Tutorials: 8 hrs SDLs: 8 hrs
Total hours:		50h

Schedule

TopTIMETABLE FOR SEMESTER I, 2018/2019

LSM4213-SYSTEMS NEUROBIOLOGY
Module Coordinator: Andrew Tan Yong-Yi

LECTURES /TUTORIALS:	Monday	Wednesday
TIME:	1000 - 1200 hrs	1400 - 1600 hrs
VENUE (LECTURES/TUTORIALS):	LT32	LT34

VENUE (PRACTICALS):	M14 [Behind LT28]

WK	MONTH	MONDAYS 10 am - 12 noon	WEDNESDAYS 2 pm - 4 pm
	Aug	13 Lecture 1 (SK)	15 Lecture 2 (SK)
	Aug	20 Lecture 3 (SK)	22 Hari Raya Haji
	Aug	27 Lecture 4 (SK)	29 Lecture 5 (SK)
	Sep	03 No Class	05 No Class
	Sep	10 Lecture 6 (AT) (SDL1 due)	12 Lecture 7 (AT)
	Sep	17 Lecture 8 (AT)	19 Lecture 9 (AT)
Recess week: Sat 22 Sep – Sun 30 Sep 2018 (1 week)
	Oct	01 Lecture 10 (AT)	03 Lecture 11 (AT)
	Oct	08 Lecture 12 (AT)	10 Lecture 13 (FY)
	Oct	15 No Class	17 No Class
	Oct	22 Lecture 14 (AT) (SDL2 due)	24 Lecture 15 (AT) (BS)
	Oct	29 Practical - Group 1 (BS)	31 Tutorial 1 (SK) (Practical Report - Group 1 due)
	Nov	05 Practical - Group 2 (BS)	07 Tutorial 2 (SK) (Practical Report - Group 2 due)
	Nov	12 Tutorial 3 (AT)	14 Tutorial 4 (AT)
READING PERIOD : Sat 17 Nov – Fri 23 Nov 2018 (1 week)
EXAMINATION: Mon 3 Dec 2018, 5:00 pm
VACATION : Sun 9 Dec 2018 – Sun 13 Jan 2019 (5 weeks)

Assignments Submission Dates:
SDL1 due on 10 Sep 2018
SDL2 due on 22 Oct 2018
Practical Report - Group 1 due on 31 Oct 2018
Practical Report - Group 2 due on 07 Nov 2018

Lecturers:

Dr. Andrew Tan Yong-Yi (AT)	phstya@nus.edu.sg	65165955
A/Prof Sanjay Khanna (SK)	phsks@nus.edu.sg	65163665
Dr. Fu Yu (FY)	fu_yu@sbic.a-star.edu.sg	64788764
Dr. Wong Boon Seng (WBS)	boon_seng_wong@nuhs.edu.sg	67728283

Assessment

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Continuous assessment (CA) = 45% (2 SDLs - 22.5% per SDL)
Final exam = 55%

SDL
2 SDL reports
Each SDL contributes 22.5% of the total marks
Both SDLs together contribute 45% of the total marks
The due date for each SDL is indicated on the time table
Font size (10 – 12)
Typewritten (3 pages – excluding references)
Single-sided (with 1.5 – double space)
Penalty for Late Submission – 1% of the total marks, per calendar day overdue

SDL1
Individual submission

SDL2
Individual submission

Final Exam
The final exam contributes 55% of the total marks.
The date and time of the final exam are indicated on the time table

Learning Outcomes

Prerequisites

Teaching Modes

Syllabus

Schedule

Assessment