Summer of Spikes
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Wk |
Date |
Proposed Schedule (subject to change) |
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1 |
30 Nov |
2pm Angelique Paulk- What is a brain? |
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1 |
2 Dec |
2pm Pankaj Sah- What are synapses? |
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2 |
7 Dec |
2pm Angelique Paulk- Why model neurons? |
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2 |
9 Dec |
2pm Angelique Paulk- What is Matlab? 3pm Peter Stratton- Simple neuron models. |
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2 |
10 Dec |
1pm Practical 1- Learning Neuron- two hours |
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3 |
14 Dec |
2pm Peter Stratton- Simple network models in Matlab. 3pm Peter Stratton- Discovering principles of network operation. |
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3 |
15 Dec [Note irregular date] |
2pm Francois Windels- How to we relate network models to the biology of
the brain? |
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3 |
17 Dec |
1pm Practical 2- Learning Matlab- two hours |
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Break |
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4 |
4 Jan |
2pm Review |
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4 |
6 Jan |
2pm Jean-Marc Fellous- Basic issues in neural data analyses: Finding patterns. |
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4 |
7 Jan |
1pm Practical 3- Analysis and Projects- two hours |
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5 |
11 Jan |
2pm Jean-Marc Fellous- Neuromodulatory power... same neurons, different functions. |
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5 |
12 Jan |
2pm Jean-Marc Fellous- It's time for spikes! Spike timing and spike patterns. |
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6 |
18 Jan |
2pm Guy Wallis- Categorisation and generalisation using self-organising, competitive neural systems |
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6 |
20 Jan |
2pm Anthony Burkitt - TBA |
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7 |
25 Jan |
2pm Michael Breakspear- Populations of spiking neurons: From bifurcations to moments and hierarchies |
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7 |
27 Jan |
2pm David Reutens - TBA |
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8 |
1 Feb |
2pm Benedikt Grothe - Time and the Brain |
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8 |
3 Feb |
2pm Project presentations |
ASSESSMENT DELIVERABLES (dates will be finalized in week 1)
For
assignment details and marking criteria see the Assignment Specification
(.doc file).
Assessment
summary:
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Requirement |
Deliverable Components |
Time estimate |
Advice / Handouts/Feedback |
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Participation at lectures (10%) |
Wks 1-8 |
Marks will be given for participation in class. |
Lectures: 26 hrs |
Participation means taking part in class discussions, asking and answering questions. Students who prefer not to speak during the class may hand in written questions for the lecturer at the end of the class. |
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Participation at lab (10%) |
Wks 1-8 |
Marks will be given for participation in lab. |
Labs: 6 hrs (includes 6 hrs prep) |
Participation means taking part in class discussions, asking and answering questions. Students who prefer not to speak during the lab may hand in written questions for the lecturer at the end of the class. |
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Project (80%) |
Wk 3 |
Asgt 1a. Project title and abstract (pass/fail) |
2 hours |
Due midnight 16th of December, with a one page draft |
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Wk 5 |
Asgt
1b. Project Proposal and lit review, and preliminary results (25%) |
23 hours |
Full project proposal with
literature review due at 5pm on the 15th of January. |
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Wk 8 |
Asgt 1c. Project report (55%) |
60 hours |
Due at 5pm on the February 3rd. |
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Assignment sheets |
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Sample assignments |
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This course is unique, so there are no past examples of
completed assignments. However, other special topics courses have had
project-based assessment, and examples of other projects may provide useful
background. 1a. Title and abstract plan, see Sample Title and overview 1b. Project proposal and literature review, see Sample
Project progress report 1c. Project report Sample
project report For examples of complete research projects, see the honours project listed at http://www.itee.uq.edu.au/~comp4809/Sample%20projects/
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TUTORIALS
will be held in Building 79-707 Mondays and Wednesdays from 3 pm, starting from
week 4, subject to guest speaker times and availability.
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Week |
Date |
DRAFT (will be finalised in
week 1) |
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1 |
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None |
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2 |
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None |
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3 |
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None |
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4 |
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Project work |
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5 |
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Project work |
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6 |
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Project work |
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7 |
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Project work |
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8 |
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Project work |
At least 2.5 years of university-level coursework in science, maths, and/or engineering.
Links to
readings may not be available outside of the University of Queensland domain.
Nov 30. What is a brain and What is a
neuron? Also see Summer
of Spikes Course Material.
Related
reading: Chapters 5, 7, 17 in From molecules
to networks : an introduction to cellular and molecular neuroscience.
Dec 2. What are synapses and What is
neural plasticity? (whiteboard presentation; transcription will be available)
Related
reading: Chapters 8, 9, 16, 19 in From molecules
to networks : an introduction to cellular and molecular neuroscience.
Dec 7. Why do we model neurons and How do
we do it?
Related
reading: Chapters 4, 6, 14, 17 in From molecules
to networks : an introduction to cellular and molecular neuroscience.
The original Hodgkin-Huxley
model from 1952. See also a foreword
written by Huxley 50 years later.
Dec 9. STDP, Neuron and MATLAB and
Simple Neuron and Synapse Models
Related
reading: Chapters 1, 2, 13, 14, 16, 17 in Matlab for Neuroscientists: An Introduction to Scientific
Computing in Matlab
Izhikevich, E. M. (2004). Which model
to use for cortical spiking neurons? Neural Networks, IEEE Transactions on
15(5): 1063-1070.
Dec 14. Part 1. Model
Synapses (notes by Peter Stratton, lecture by Angelique Paulk)
Part
2. Discovering principle (notes by Peter Stratton, lecture by Janet Wiles)
, (pdf)
Related
reading: TBA
Dec 15. Francois Windels (TBA)
Jan 6. Jean-Marc Fellous.
Basic issues in neural data analyses: Finding
patterns
Jan 11. Jean-Marc Fellous.
Neuromodulatory
power: same neurons, different computations
Jan 12. Jean-Marc Fellous.
It's time for spikes! Spike timing and spike
patterns
Dec 10. Neuron
Dec 16. Matlab Tutorial;
M-files: HHsimplest.m; izdelaynet.m; synapse_train.m
Matlab for Neuroscientists: An Introduction to Scientific Computing in Matlab
http://www.sciencedirect.com/science/book/9780123745514
From
molecules to networks : an introduction to cellular and molecular
neuroscience
/ edited by John H.
Byrne, James L. Roberts.
http://www.sciencedirect.com/science/book/9780121486600
Sensory
Systems: Anatomy and Physiology, Copyright © 2003 Elsevier Inc. All rights
reserved, Author(s): Aage R. Møller
ISBN: 978-0-12-504257-4
http://www.sciencedirect.com/science/book/9780125042574
Additional neuroscience readings will be provided.
Neuron (freeware)
Homepage: http://www.neuron.yale.edu/neuron/
Documentation: http://www.neuron.yale.edu/neuron/docs
Matlab (available for students
for free)
Homepage: http://www.mathworks.com/
Documentation:
Summer of Spikes course website: http://www.thinkingsystems.edu.au/spikes/
Summer of Spikes course profile: http://www.itee.uq.edu.au/~elec4001/
Thinking Systems website: http://www.itee.uq.edu.au/~janetw/ThinkingSystems/
& http://www.thinkingsystems.edu.au/
Additional courses on computational neuroscience:
Short Course in Computational Neuroscience (Feb
10-12, 2010):
http://www.qbi.uq.edu.au/index.html?page=90819&pid=0
Websites for the guest speakers:
Michael Breakspear http://sites.google.com/site/systemsneurosciencegroup/people/michael-breakspear
Anthony Burkitt
http://bionicvision.org.au/professor-anthony-burkitt
Jean-Marc Fellous
http://www.u.arizona.edu/~fellous/
Benedikt Grothe http://www.zi.biologie.uni-muenchen.de/institute/zi/abtlgn/neurobiologie/AG_Grothe.htm
Pankaj Sah http://www.qbi.uq.edu.au//index.html?page=13990
Peter Stratton http://www.itee.uq.edu.au/~stratton/
Bruno van Swinderen http://www.qbi.uq.edu.au/index.html?page=71665
Guy Wallis http://www.hms.uq.edu.au/Guy-Wallis
Janet Wiles http://www.itee.uq.edu.au/~janetw/
Francois Windels http://www.thewindels.org/html/francois_windels.html
Gordon Wyeth http://www.it.uq.oz.au/~wyeth/
To be announced.
Students taking approved
summer research projects can use their projects as a project assessment
deliverable for this course.
Possible summer research projects:
Thinking Systems summer
projects:
http://www.thinkingsystems.edu.au/summer2009.html
SCIE3044:
http://www.uq.edu.au/study/course.html?course_code=SCIE3044&id=005519&offer=53544c554333494e
Back to the Summer
of Spikes home page.
CRICOS Provider Number : 00025B
