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- Newsgroups: comp.ai.neural-nets
- Path: sparky!uunet!zaphod.mps.ohio-state.edu!moe.ksu.ksu.edu!ux1.cso.uiuc.edu!news.iastate.edu!honavar
- From: honavar@iastate.edu (Vasant G Honavar)
- Subject: Re: Neural Nets and Brains
- Message-ID: <1992Jul25.031126.1722@news.iastate.edu>
- Sender: news@news.iastate.edu (USENET News System)
- Organization: Brainstorms International
- References: <arms.711935064@spedden>> <BILL.92Jul23224539@ca3.nsma.arizona.edu> <arms.711986585@spedden>
- Date: Sat, 25 Jul 1992 03:11:26 GMT
- Lines: 23
-
- In article <arms.711986585@spedden> arms@cs.UAlberta.CA (Bill Armstrong) writes:
- >
- >My point
- >was that BP nets use continuous signals and the brain doesn't -- an
- >obvious very significant difference. I was asking why people would
- >expect to understand the brain by studying a system (BP) that is
- >*different* at the most basic level of signalling.
- >
- >Don't you agree that if the brain works on 0-1 signals, then to study
- >the brain one could beneficially look at logical systems?
-
- I have no intention of getting involved in an extended argument on the
- relative merits of BP v/s ALN v/s you-name-it. A young field like ours could
- benefit from people studying as broad a range of models as possible.
-
- But I would like to point out that it is far from clear that the brain
- works entirely on 0-1 signals. The spikes are be discrete (digital). The
- membrane potentials are continuous (analog) quantities. The neurotransmitter
- release from vescicles appears to be quantal. A lot goes on in the brain
- besides the transmission of spikes through the axons. It is probably premature
- to rule out any of these as substrates for information processing.
-
- Vasant Honavar
-