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Deliverables for BioInspired

• Model Neuron in Verilog (Steve)
• Model Neuron in NEURON or GENESIS
• Literature review

What to model?

• Ant brain? What's up with this?
• Classic examples?

Mark Paper Ideas

• Turing Machine - This sis clasical computing
• Simple brains - talk in details
• Nueral Nets
• Higher food chain similar different? More or different? Unknown? What leads to computation?
• Computation that happens at the back of the eye
• Distributed computing - spinal cord - back of the brain
• Brain is X gigabyes of data
• Reacting before the signal reaches the brain.
• Computing in a great whale.
• Chemicals are slower than copper and electricty.
• How has nature come up with things that can do computation.
• How does the brain deal with defects? Sleep deprevation?
• Brain body inferace - electornics? Cyborgs?

Questions for Review of Literature

1. What is a neuron?
2. How do neurons communicate?
3. How do neurons compute information presented to them?
4. What advantages does neural computing have over traditional digital and analog computing?
5. What parallels exist between neural and computer processing?
6. What factors influence timing in neural networks? How do biological systems adapt to slowness?
7. Where next? What is still unknown in the field?

• == Due Sunday 3PM, December 5th ==
  • Each group member will answer all of the six questions
  • The answers will be synthesized beginning Sunday
  • Meeting Sunday Night (9PM) in the libary to discuss what to model.