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    A group can comprise of 1-2 persons enrolled in the class. Each group will pick a particular "mini-research" question pertinent to this course and investigate the question using simulations and/or analysis. Each group will present their results to class on March 14 (2:30-4:30pm), and will submit a short printed report (10-15 pages including figures and references) at the beginning of presentations.

Presentation details: You may email Raj your slides by noon on the day of the presentation and use his laptop for your presentation or bring your own laptop if your presentation requires special software or uses demos. In the latter case, you may want to print out transparencies as a back-up in case the projector does not recognize your laptop.

Potential Topics for Group Projects:

  • Synchronous coding and multiplexing information using spikes and spike-timing dependent plasticity
  • The role of dendrites in promoting synchronous coding
  • Computational role of backpropagating spikes in cortical neurons
  • Computation using dynamic synapses and spikes
  • Cortical feedback and hierarchical computation
  • Using spike-timing based plasticity for predictive coding
  • Models of nonclassical receptive fields in the visual cortex
  • Relationship between firing rate and membrane potential of a neuron
  • Probabilistic computation in spiking neurons and networks
  • Effects of noise in neuronal networks and "stochastic resonance"
  • Learning spatiotemporal filters from natural movies
  • Learning spectrotemporal filters from natural sounds and speech
  • Models of reinforcement learning and applications
  • Unsupervised learning and its relation to statistical machine learning
  • Supervised learning and its application in robotics, BCI, etc.
  • Non-traditional learning in neurons (adapting channel densities, dendritic structure adaption, adding new neurons in a network, etc.)
  • Evolutionary methods for learning the structure of networks
  • Decoding and classification of brain-derived signals (spikes, EEG, etc.) for applications such as Brain-Computer Interfaces (BCIs)
Contact Raj if you are interested in pursuing one of these topics. Projects on other topics related to the course or to your research interests are also welcome.


CSE logo Department of Computer Science & Engineering
University of Washington
Box 352350
Seattle, WA  98195-2350
(206) 543-1695 voice, (206) 543-2969 FAX
[comments to rao@cs.washington.edu]