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Summer of Spikes Course Material - Summer of Spikes: Learning and ...

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Summer of Spikes Course Material - Summer of Spikes: Learning and ...

  1. 1. Summer of Spikes: Learning and oscillations Lecture series and course ELEC4001/ ENGG7301 Nov 30, 2009 – Feb 5. www.thinkingsystems.edu.au/spikes
  2. 2. Summer of spikes: Learning and oscillations Goals Gain knowledge of neurobiology – neurons, synapses and brain regions. Use computational tools to model neurons from the level of the single cell to networks of neurons. Learn Matlab, Neuron and other computational tools to both model and analyse neural activity.
  3. 3. Summer of spikes: Learning and oscillations • Nov 30, 2009 – Feb 3rd 2010 • Lecture series and course website: www.thinkingsystems.edu.au/spikes
  4. 4. Guest lecturers Summer of spikes: Learning and oscillations Date and Time Speaker Title Dec. 2nd 2 pm Pankaj Sah What are synapses and what is synaptic plasticity? Dec. 16th 2 pm Francois Windels How do we relate network models to the biology of the brain? Dec. 16th 3 pm Bruno van Swinderen How do we relate these approaches to understanding an area of the brain? Jan. 6-12th 2 pm Jean-Marc Fellous Analytical approaches: understanding neural data Jan. 18th 2 pm Guy Wallis Categorisation and generalisation using self- organising, competitive neural systems Jan. 20th 2 pm Anthony Burkitt TBA Jan. 25th 2 pm Michael Breakspear Populations of spiking neurons: From bifurcations to moments and hierarchies Jan. 27th 2 pm David Reutens TBA Feb. 1st 2 pm Benedikt Grothe TBA Lecture series and course website: www.thinkingsystems.edu.au/spikes
  5. 5. Summer of spikes: learning and oscillations • Ultimately, the underlying theme running through the lecture series would be learning and oscillations. • The lectures would run through how single neurons and small networks could relate to learning and memory • How these same networks and neurons can oscillate • Finish with the theoretical connection between oscillations and learning and memory
  6. 6. Summer of spikes: Learning and oscillations Goals Gain knowledge of neurobiology – neurons, synapses and brain regions. Use computational tools to model neurons from the level of the single cell to networks of neurons. Learn Matlab, Neuron and other computational tools to both model and analyse neural activity.
  7. 7. Summer of spikes: Learning and oscillations • Nov 30, 2009 – Feb 3rd 2010 • Course profile: www.itee.uq.edu.au/~elec4001/ • Lecture series and course website: www.thinkingsystems.edu.au/spikes Course coordinator: Janet Wiles Course organizers: Peter Stratton and Angelique Paulk
  8. 8. Software used in tutorials and projects •Neuron •Homepage: http://www.neuron.yale.edu/neuron/ •Documentation: http://www.neuron.yale.edu/neuron/docs Matlab •Homepage: http://www.mathworks.com/ •Documentation: http://www.mathworks.com/access/helpdesk/help/techdoc/index.html? /access/helpdesk/help/techdoc/matlab.shtml Summer of spikes: Learning and oscillations
  9. 9. Readings •Matlab for Neuroscientists Description of the book: http://www.sciencedirect.com/science/book/9780123745514 •Online neuroscience textbooks available through the University of Queensland library: Summer of spikes: Learning and oscillations 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, Edited by Aage R. Møller http://www.sciencedirect.com/science/book/9780125042574
  10. 10. Assessment • Participation at lectures (10%) • Participation at lab (10%) 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. Summer of spikes: Learning and oscillations Tasks Do a spiking neuron or spiking neural network related Project.  Title and abstract (pass/fail). Due week 3: midnight 16th December 2009.  Proposal and literature review (25%). Due week 5: midnight 11th January 2010.  Project report (55%). Due week 8 (last week of course): midnight 3rd February 2010.
  11. 11. Special topics course guidelines • Special topics courses are not precisely like many undergraduate courses • The required amount of work is more than would be expected in an undergraduate course
  12. 12. Tutorials • 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 beginning week 4 • Goals: work on student projects Summer of spikes: Learning and oscillations
  13. 13. Projects • Possible projects: Neuron modeling: What can a single neuron do? Matlab® modeling: How can a network deal with timing information on multiple time scales? Summer of spikes: Learning and oscillations http://www.thinkingsystems.edu.au/summer2009.html
  14. 14. Submission • Submission will be via the online submission system facility at http://submit.itee.uq.edu.au/select.php?coursecode=ELEC40 01. Assignments may be submitted multiple times, but only the last one will be marked. • Late submissions should also be submitted to the online submission system. • Except in the case of lecturer-approved extensions, late submissions will be penalised 10% of the possible marks per day, and submissions more than 5 days late will not be graded.

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