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Outline/Draft of Paper

Parallels between traditional and biological computing

Woot

• == Neurons Pipeline Themselves ==
  • Modern computing focuses on the pipeline architecture. Neurons naturally use these method to increase the efficency of computation. At any given moment, millions of neurons within the brain are firing...
  == Branch Prediction and Bio-Equiv (Steve knows about it) == == Computing is always energy intensive == The human brain consumes about 20-30% of the calories consumed each day. (Brain Facts)

Timing in Nature

• == Whales are Ass Slow ==
  • Whales are huge. And adult human brain weights 1,300 - 1,400 grams (about 3 pounds). A sperm whale brain weighs 7,800 grams. (Brain Facts). It takes many seconds for a signal to travel.

Citations Used so far

• "Brain Facts." _Brain SPECT Information and Resources. Excerpted from: R.W. Williams and K. Herrup, Ann. Review Neuroscience, 11:423-453, 1988 <http://www.brainplace.com/bp/brainfacts/default.asp>

The Main Points

1. Here's how the neural logical system works. 2. Here are the simularities and comparissions between silicon and neuralogical computing. 3. Here are the differences between silicon and neuralogical computing. 4. Here are the limitations of the brain. 3. The brain is fucking sweet compared to computers. Computers don't even approach the power of the brain.