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Course profile

Sensory Neuroscience (NEUR3192)

Study period
Sem 2 2024
Location
St Lucia
Attendance mode
In Person

Course overview

Study period
Semester 2, 2024 (22/07/2024 - 18/11/2024)
Study level
Undergraduate
Location
St Lucia
Attendance mode
In Person
Units
2
Administrative campus
St Lucia
Coordinating unit
Psychology School

The sensation of seeing, hearing, touching or smelling is a product of activity in your brain. Scientists who wanted to work out how this activity could generate conscious perceptual experiences established experimental Psychology as a discipline. In this course we will appraise contemporary evidence concerning these links. Students will be taught how to critically appraise empirical evidence, establish research hypotheses, and how to test those hypotheses.

This course focuses on contemporary issues in visual neuroscience. Internationally renowned researchers will give lectures in their area of expertise and students will be challenged to critically appraise contemporary empirical evidence. Students will be encouraged to construct hypotheses concerning links between brain activity, sensory processes and conscious perceptual experience. Students will also be taught how to design, conduct (including basic Matlab programming), analyse and report the results of experiments. This will provide students with a practical skill set and invaluable training for those who wish to undertake honours projects in this and related fields.ᅠ

Course requirements

Assumed background

It is assumed that you will have completed PSYC2020/NEUR2020 (Neuroscience for Psychologists)

Recommended companion or co-requisite courses

We recommend completing the following courses at the same time:

(PSYC1020 or NEUR1020) + (PSYC2020 or NEUR2020)

Incompatible

You can't enrol in this course if you've already completed the following:

PSYC3192

Course contact

Course staff

Lecturer

Timetable

The timetable for this course is available on the UQ Public Timetable.

Additional timetable information

Aims and outcomes

Aims: This course will introduce students to contemporary issues in sensory neuroscience, with a focus on links between sensory processing and conscious perceptual experience. Students will be encouraged to critically appraise existing empirical evidence, and taught how to conduct and report their own research.

Learning outcomes

After successfully completing this course you should be able to:

LO1.

Evaluate evidence concerning the relationship between sensory processing and various aspects of conscious perceptual experience

LO2.

Critically appraise contemporary evidence in the field of perceptual neuroscience

LO3.

Design and conduct an empirical experiment

LO4.

Analyse the results of an empirical experiment

LO5.

Report the results of an empirical experiment

Assessment

Assessment summary

Category Assessment task Weight Due date
Quiz In Class Quiz Questions 20%

30/07/2024 - 22/10/2024

Essay/ Critique Introductory Paragraphs 12%

9/08/2024 - 25/10/2024

Due each fortnight, from Week 3 onwards

Paper/ Report/ Annotation Class Research Project 34%

9/10/2024 4:00 pm

Essay/ Critique Research Essay 34%

4/11/2024 4:00 pm

Applications for extensions on this assessment task will only be granted in extraordinary circumstances! You have all semester to prepare a response and we need to allow time for the essays to be marked so that grades for the course can be finalised.

Assessment details

In Class Quiz Questions

Mode
Written
Category
Quiz
Weight
20%
Due date

30/07/2024 - 22/10/2024

Learning outcomes
L01, L02

Task description

For weeks 2 - 13, a reading has been set that you must read before the lecture. During class, you will be invited to answer four quiz questions about the reading (these will be made available online via the course blackboard site), which will stimulate class discussion. Your grade will be determined by the sum of correct answers on your best 10 attempts.

Submission guidelines

Deferral or extension

You cannot defer or apply for an extension for this assessment.

 The best 10 out of 12 quizzes will count. No extensions are possible for this piece of assessment.

Introductory Paragraphs

Mode
Written
Category
Essay/ Critique
Weight
12%
Due date

9/08/2024 - 25/10/2024

Due each fortnight, from Week 3 onwards

Learning outcomes
L01, L02

Task description

From week 2 onwards, you will be set a research essay question relating to material covered in that week's lecture. Each fortnight (from week 3 onwards), you will have to submit a response to one of the two questions posed in the last two lectures (so you will have 6 of these to prepare in total: Due Fridays, 5PM).

Week 3 submission
Week 5 submission
Week 7 submission
Week 9 submission
Week 11 submission
Week 13 submission

Each response should take the form of an introductory paragraph to an argumentative essay. This must specify the essay question, define key essential terms, outline the argument you would construct if you were to write a full essay, and state how you would conclude your argument if you were to write a full essay. In short, write an introductory paragraph, but skip the rest of the essay.

Submission guidelines

To be submitted via turnitin

Deferral or extension

You cannot defer or apply for an extension for this assessment.

Students need to submit their paragraphs as prescribed above. Extensions are not possible on this piece of assessment.

If there are any issues, please contact the course coordinator.

Class Research Project

Mode
Written
Category
Paper/ Report/ Annotation
Weight
34%
Due date

9/10/2024 4:00 pm

Learning outcomes
L01, L02, L03, L04, L05

Task description

During tutorials, students will programme, conduct and analyze the results of an experiment. Students will then write up a laboratory report of the experiment.

 

A pre-requisite for having your lab report graded is that you program and participate in the class experiment. Your tutor will keep a record of tutorial attendance and experimental participation.

 

The lab report should be no longer than 2250 words and follow APA guidelines. This must encompass an Abstract of up to 250 words, an Introduction of up to 1000 words, and a Discussion of up to 1000 words. A reference list must also be included, but this will not contribute to the word limit count.
 

Students should submit the completed report, via turnitin.

 

Submission guidelines

Submit via Turnitin.

Deferral or extension

You may be able to apply for an extension.

The maximum extension allowed is 14 days. Extensions are given in multiples of 24 hours.

Late submission

A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.

Research Essay

Mode
Written
Category
Essay/ Critique
Weight
34%
Due date

4/11/2024 4:00 pm

Applications for extensions on this assessment task will only be granted in extraordinary circumstances! You have all semester to prepare a response and we need to allow time for the essays to be marked so that grades for the course can be finalised.

Learning outcomes
L01, L02

Task description

A research essay question will be set based on each lecture, during weeks 2 to 13. Students will be required to prepare a full written response to one of these questions, to be submitted via Turnitin.

You can use the introductory paragraph you wrote and submitted in response to this question, or you can choose to re-write the introductory paragraph.

NOTE: To allow students to submit a response to questions covered in later lectures, this piece of assessment is due on the first day of the exam period. STUDENTS WHO WISH TO AVOID HAVING TO COMPLETE A MAJOR ASSIGNMENT AT THIS TIME OF YEAR CAN PREPARE A RESPONSE TO A QUESTION SET FOR AN EARLIER LECTURE, AND SUBMIT THAT RESPONSE BEFORE THE DUE SUBMISSION DATE!


Applications for extensions on this assessment task will only be granted in extraordinary circumstances! You have all semester to prepare a response and we need to allow time for the essays to be marked so that grades for the course can be finalised.


Maximum Word Limit 2500


 

Submission guidelines

Turnitin

Deferral or extension

You may be able to apply for an extension.

The maximum extension allowed is 7 days. Extensions are given in multiples of 24 hours.

Applications for extensions on this assessment task will only be granted in extraordinary circumstances! You have all semester to prepare a response and we need to allow time for the essays to be marked so that grades for the course can be finalised.

Late submission

A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.

Applications for extensions on this assessment task will only be granted in extraordinary circumstances! You have all semester to prepare a response and we need to allow time for the essays to be marked so that grades for the course can be finalised.

Course grading

Full criteria for each grade is available in the Assessment Procedure.

Grade Cut off Percent Description
1 (Low Fail) 0 - 29

Absence of evidence of achievement of course learning outcomes.

2 (Fail) 30 - 44

Minimal evidence of achievement of course learning outcomes.

3 (Marginal Fail) 45 - 49

Demonstrated evidence of developing achievement of course learning outcomes

4 (Pass) 50 - 60

Demonstrated evidence of functional achievement of course learning outcomes.

5 (Credit) 61 - 74

Demonstrated evidence of proficient achievement of course learning outcomes.

6 (Distinction) 75 - 84

Demonstrated evidence of advanced achievement of course learning outcomes.

7 (High Distinction) 85 - 100

Demonstrated evidence of exceptional achievement of course learning outcomes.

Additional course grading information

Marks will be allocated on the basis of work completed.

If necessary, your overall percentage mark will be rounded to the nearest whole percentage (up in cases of 0.5%).

The minimum overall pass mark is 50%.

Supplementary assessment

Supplementary assessment is available for this course.

Learning resources

You'll need the following resources to successfully complete the course. We've indicated below if you need a personal copy of the reading materials or your own item.

Library resources

Library resources are available on the UQ Library website.

Additional learning resources information

Core readings, and some additional starter references, will be provided via the course homepage for each lecture from Week 2 onward.

Learning activities

The learning activities for this course are outlined below. Learn more about the learning outcomes that apply to this course.

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Learning period Activity type Topic
Week 1

(22 Jul - 28 Jul)

Lecture

Lecture, week 1

Pt 1: Course Outline
(Prof. Derek Arnold)

Pt 2: How we know what (little) we know
(Prof. Derek Arnold)

Learning outcomes: L03, L04

Week 2

(29 Jul - 04 Aug)

Lecture

Lecture, week 2

Functional Modularity
(Prof. Derek Arnold)

Learning outcomes: L01, L02

Tutorial

Introducing Matlab

What is a for loop? What is a while loop?

Learning outcomes: L03

Week 3

(05 Aug - 11 Aug)

Lecture

Lecture Week 3

Visual Adaptation

Learning outcomes: L01, L02

Tutorial

Matlab Programming

How to collect responses from a mouse

Learning outcomes: L03

Week 4

(12 Aug - 18 Aug)

Lecture

Lecture, week 4

Colour Perception - Do you see what I see?
(Prof. Derek Arnold)

Learning outcomes: L01, L02

Tutorial

Matlab Programming

Creating and saving data

Learning outcomes: L03

Week 5

(19 Aug - 25 Aug)

Lecture

Lecture, week 5

Object Perception
(Dr. Jessica Taubert)

Learning outcomes: L01, L02

Tutorial

Psychtoolbox

Drawing images to the screen

Learning outcomes: L03, L04

Week 6

(26 Aug - 01 Sep)

Lecture

Lecture, week 6

Emotional Processing
(Dr. Jessica Taubert)

Learning outcomes: L01, L02

Tutorial

Matlab Programming:

Using Matlab to analyse data

Learning outcomes: L03, L04, L05

Week 7

(02 Sep - 08 Sep)

Lecture

Lecture, week 7

Manipulating Consciousness
(Prof. Derek Arnold)

Learning outcomes: L01, L02

Tutorial

Class Experiment

Running the class experiment

Learning outcomes: L03

Week 8

(09 Sep - 15 Sep)

Lecture

Lecture, week 8

Consciousness #1
(Prof Bruno van Swinderen)

Learning outcomes: L03

Tutorial

Matlab Programming

Statistical analysis and discussion of class experiment

Learning outcomes: L01, L02

Week 9

(16 Sep - 22 Sep)

Lecture

Lecture, week 9

Consciousness #2
(Prof. Bruno van Swinderen)

Learning outcomes: L01, L02

Tutorial

Matlab Programming - EEG Analyses

How to analyse evoked potentials and measure latencies

Learning outcomes: L04

Mid Sem break

(23 Sep - 29 Sep)

No student involvement (Breaks, information)

Midsemester Break

Week 10

(30 Sep - 06 Oct)

Lecture

Lecture, Week 10

Prediction in the human brain
(Dr. Blake Saurels)

Learning outcomes: L01, L02

Tutorial

Matlab programming, Decoding

How to decode the operations of the mind from EEG data

Learning outcomes: L03

Week 11

(07 Oct - 13 Oct)

Lecture

Lecture, Week 11

Perceptual Confidence / Metacognition
(Prof. Derek Arnold)

Learning outcomes: L01, L02

Tutorial

Matlab Programming, Spectra analyses

How to conduct frequency-based analyses of EEG data

Learning outcomes: L04

Week 12

(14 Oct - 20 Oct)

Lecture

Lecture, week 12

Syanaesthesia
(Prof. Derek Arnold)

Learning outcomes: L01, L02

Week 13

(21 Oct - 27 Oct)

Lecture

Lecture, week 13

Aphantasia
(Prof. Derek Arnold)

Learning outcomes: L01, L02

Policies and procedures

University policies and procedures apply to all aspects of student life. As a UQ student, you must comply with University-wide and program-specific requirements, including the:

Learn more about UQ policies on my.UQ and the Policy and Procedure Library.

School guidelines

Your school has additional guidelines you'll need to follow for this course: