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- Path: sparky!uunet!trwacs!erwin
- From: erwin@trwacs.fp.trw.com (Harry Erwin)
- Newsgroups: comp.ai.neural-nets
- Subject: Re: Neural Nets and Brains
- Message-ID: <676@trwacs.fp.trw.com>
- Date: 26 Jul 92 13:38:50 GMT
- References: <arms.711935064@spedden>> <BILL.92Jul23224539@ca3.nsma.arizona.edu> <arms.711986585@spedden> <1992Jul24.235828.23813@u.washington.edu> <BILL.92Jul24201136@ca1.nsma.arizona.edu>
- Organization: TRW Systems Division, Fairfax VA
- Lines: 16
-
- >Exercise: Give a precise, mathematical definition of the "rate of
- >fire" of a neuron. It's a lot harder than it looks! In fact, as far
- >as I can tell, there *is* no perfectly good definition (though there
- >are ones good enough to be useful).
-
- Given that the "rate of fire" of a neuron is the object of interest (in
- fact, given that the modulation of the rate of fire is what's specifically
- of interest, since the dynamics of the neuron rapidly converge to a stable
- state), I would suspect that neurons use wavelet filters to determine if
- the signals they're seeing contain information.
-
- Cheers,
- --
- Harry Erwin
- Internet: erwin@trwacs.fp.trw.com
-
-