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Unit of study_

PSYC3014: Behavioural and Cognitive Neuroscience

Semester 2, 2020 [Normal day] - Camperdown/Darlington, Sydney

This unit of study will focus on approaches to studying neurosciences incorporating molecular, pre-clinical and clinical models of brain function. These biological models of brain function will be linked with behavioural, affective and cognitive function and dysfunction. The implications of focal cognitive deficits in neurological patients for models of normal cognitive function will also be explored. Specific topics to be covered will be selected from the following areas: sensorimotor integration and the neural and molecular basis of learning and memory, attention, language, visual cognition and praxis. In addition to lectures, a practical component will cover basic neuroanatomy and neuroscientific methods. The practical component will also introduce students to experimental and neuropsychological approaches to studying the relationship between brain and behaviour.

Unit details and rules

Unit code PSYC3014
Academic unit Psychology Academic Operations
Credit points 6
Prohibitions
? 
PSYC3914
Prerequisites
? 
[(PSYC2010 or PSYC2910 or PSYC2011 or PSYC2911 or PSYC2015 or PSYC2915) and 6 credit points from (PSYC2012 or PSYC2013 or PSYC2014 or PSYC2016 or PSYC2017)] OR [(PSYC2010 or PSYC2910 or PSYC2011 or PSYC2911 or PSYC2015 or PSYC2915) and (ANAT2010 or ANAT2910 or MEDS2005)]
Corequisites
? 
None
Assumed knowledge
? 

None

Available to study abroad and exchange students

Yes

Teaching staff

Coordinator Tom Carlson, thomas.carlson@sydney.edu.au
Lecturer(s) Justin Harris, justin.harris@sydney.edu.au
Alex Holcombe, alex.holcombe@sydney.edu.au
Irina Harris, irina.harris@sydney.edu.au
Tutor(s) Ingrid van Tongeren, ingrid.vantongeren@sydney.edu.au
Oscar Kovacs, okov3082@sydney.edu.au
Simone Rehn, simone.rehn@sydney.edu.au
Alex Sulfaro, alexander.sulfaro@sydney.edu.au
Type Description Weight Due Length
Final exam (Take-home extended release) Type E final exam Final exam
Short answer
50% Formal exam period 48 hours
Outcomes assessed: LO1 LO2 LO3
Participation In-class participation
Group discussion
5% Multiple weeks Variable
Outcomes assessed: LO1 LO7 LO6 LO5 LO4 LO3 LO2
Tutorial quiz Tutorial quiz 1
MC Quiz
5% Week 05 30min
Outcomes assessed: LO1 LO3 LO2
Assignment hurdle task Research report
Report
30% Week 08 2000 words
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7
Tutorial quiz Tutorial quiz 2
MC Quiz
5% Week 09 30min
Outcomes assessed: LO1 LO3 LO2
Tutorial quiz Tutorial quiz 3
MC Quiz
5% Week 12 30min
Outcomes assessed: LO1 LO3 LO2
hurdle task = hurdle task ?
Type E final exam = Type E final exam ?

Assessment summary

  • Research report: The report is based on an experiment we will run in tutorials in week 2. Participation in the experiment will be recorded and will earn you 2% (part of the participation mark). The experiment is in two parts: the first will be conducted during your tutorial; the second part will be completed online the next day. You must complete both parts to earn the participation mark.
  • Tutorial quizzes: These will assess the tutorial and lecture material to that point. 
  • Participation: This consists of participation in class discussions throughout the semester and completing the experiment. We will also have a bigger discussion forum in Week 12 on a topic to be
    advised, for an additional opportunity to pick up marks.
  • Final exam: The exam assesses your knowledge of materials covered in lectures and readings set by the lecturing staff.

Detailed information for each assessment can be found on Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

For more information see sydney.edu.au/students/guide-to-grades.

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

  • Deduction of 5% of the maximum mark for each calendar day after the due date.
  • After ten calendar days late, a mark of zero will be awarded.

Academic integrity

The Current Student website  provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.  

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

You may only use artificial intelligence and writing assistance tools in assessment tasks if you are permitted to by your unit coordinator, and if you do use them, you must also acknowledge this in your work, either in a footnote or an acknowledgement section.

Studiosity is permitted for postgraduate units unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission.

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

WK Topic Learning activity Learning outcomes
Week 01 Introduction Online class (1 hr)  
Measuring the brain: direct approaches Online class (1 hr)  
Week 02 Measuring the brain: indirect approaches Online class (1 hr)  
The brain as an information processing system Online class (1 hr)  
Being a scientist Tutorial (2 hr)  
Week 03 Cortical organization: maps and modules Online class (1 hr)  
Rhythms in the brain Online class (1 hr)  
Neuroscience Methods + EEG Lab tour Tutorial (2 hr)  
Week 04 Sleep Online class (1 hr)  
High level visual processing 1 Online class (1 hr)  
Sleep and sleep disorders Tutorial (2 hr)  
Week 05 High level visual processing 2 Online class (1 hr)  
Episodic memory and amnesia 1 Online class (1 hr)  
Quiz 1 + Virtual TMS Lab Tour Tutorial (2 hr)  
Week 06 Episodic memory and amnesia 2 Online class (1 hr)  
Semantic memory Online class (1 hr)  
Introduction to Neuroanatomy Tutorial (2 hr)  
Week 07 Language Online class (2 hr)  
Neuroanatomy (in the Anatomy lab) Tutorial (2 hr)  
Week 08 Dementia: clinical syndromes Online class (1 hr)  
Brain and computers 1 Online class (1 hr)  
Visual Agnosias Tutorial (2 hr)  
Week 09 Brain and computers 2 Online class (1 hr)  
Space and the parietal lobe 1 Online class (1 hr)  
Quiz 2 + Neurodegenerative Diseases Tutorial (2 hr)  
Week 10 Space and the parietal lobe 2 Online class (1 hr)  
Neurobiology of learning and memory 1 Online class (1 hr)  
Simulating li’l Brains Tutorial (2 hr)  
Week 11 Neurobiology of learning and memory 2 Online class (1 hr)  
Movement and motor control 1 Online class (1 hr)  
Animal models of mental disorders Tutorial (2 hr)  
Week 12 Movement and motor control 2 Online class (1 hr)  
Biological bases of dementias Online class (1 hr)  
Quiz 3 - No tutorial Lecture and tutorial (0.5 hr)  

Attendance and class requirements

Attendance: 80% tutorial attendance is required, the roll will be marked and there is a participation assessment component.

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

At the completion of this unit, you should be able to:

  • LO1. demonstrate basic knowledge and understanding of major concepts, theoretical perspectives, empirical findings, and historical trends in behavioural and cognitive neuroscience
  • LO2. develop an awareness of the applications of the theories and research findings in learning, memory, language, perception and action, computational modeling and sleep.
  • LO3. understand, apply and evaluate basic research methods in behavioural and cognitive neuroscience, including design of laboratory and clinical research, data collection, analysis and interpretation, literature searches and review. Demonstrate an understanding of technologies used to study brain function and activity.
  • LO4. demonstrate critical and creative thinking, skeptical inquiry, and the scientific approach to solve problems related to the neuroscientific bases of behaviour. Develop ability to identify and evaluate the purposes, research questions, data, perspectives, inferences, concepts, implications and assumptions associated with research presented during the course.
  • LO5. value empirical evidence; tolerate ambiguity during the search for greater understanding of behaviour and knowledge structures.
  • LO6. use information in an ethical manner, be able to recognise and promote ethical practice in research and clinical interventions and respect diversity associated with cognitive and neurological disorders.
  • LO7. demonstrate sound communication skills in behavioural and cognitive neuroscience, including i) writing effectively in a variety of formats and for a variety of purposes; (ii) effective oral communication skills in various formats and for various purposes; (iii) collaborating effectively in a group to complete projects.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1 Depth of disciplinary expertise

Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.

GQ2 Critical thinking and problem solving

Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.

GQ3 Oral and written communication

Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.

GQ4 Information and digital literacy

Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.

GQ5 Inventiveness

Generating novel ideas and solutions.

GQ6 Cultural competence

Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.

GQ7 Interdisciplinary effectiveness

Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.

GQ8 Integrated professional, ethical, and personal identity

An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.

GQ9 Influence

Engaging others in a process, idea or vision.

Outcome map

Learning outcomes Graduate qualities
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9

This section outlines changes made to this unit following staff and student reviews.

No changes have been made since this unit was last offered.

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.