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  1. Path: sparky!uunet!cs.utexas.edu!uwm.edu!caen!nic.umass.edu!dime!rabbit.cs.umass.edu!connolly
  2. From: connolly@rabbit.cs.umass.edu (Christopher Ian Connolly)
  3. Newsgroups: comp.ai.neural-nets
  4. Subject: Re: Thanks Neural Nets, and Brains?
  5. Message-ID: <50783@dime.cs.umass.edu>
  6. Date: 23 Jul 92 19:13:23 GMT
  7. References: <1992Jul21.162033.57397@cc.usu.edu> <1992Jul23.013755.18847@hubcap.clemson.edu> <arms.711907358@spedden>
  8. Sender: news@dime.cs.umass.edu
  9. Organization: University of Massachusetts, Amherst
  10. Lines: 14
  11.  
  12. In article <arms.711907358@spedden> arms@cs.UAlberta.CA (Bill Armstrong) writes:
  13. >First off, isn't it rather strange that the most widespread artificial
  14. >model of neural operation. the multilayer perceptron, uses continuous
  15. >quantities on its connections, while the dendrites and axons of
  16. >neurons use "zero or one" type action potentials?
  17.  
  18. Don't forget that electrical synapses (gap junctions) are an analog
  19. means of intercellular communication.  Whether they represent a
  20. significant part of brain function is another question entirely.
  21. -- 
  22.     -    -    -    -    -    -    -
  23. Christopher Ian Connolly            connolly@cs.umass.edu
  24. Laboratory for Perceptual Robotics        wa2ifi
  25. University of Massachusetts at Amherst        Amherst, MA 01003
  26.