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Article #9321Re: Announcement: The Temporal Neuron Revolution.... some thoughts
From: the_walrus
Date: Tue, 14 Oct 1997 00:00
Date: Tue, 14 Oct 1997 00:00
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3446 bytes
Erik Vick wrote: > I am interested in knowing why a neural net must be biologically > plausible? (Yes I'm a NN newbie) I thought there were two accepted > methodologies of Neural Nets : 1) the biologic modeling approach and 2) > more of a functional modeling approach. > > Is it your position that to gain common sense / learn, the construct > must be a biologically plausible neural net? Learning in ANNs has recently been proven to be NP-Complete (the book is by Judd, and I can't remember the name ... someone helpful might know it), so they ain't viable as they stand. Neuroscientists are quite chuffed about this, because they've been telling the ANN community for years that their models are biologically implausible. It depends on what you want to use it for. ANNs have two possible uses: 1) They are of practical use as pattern recognisers. 2) They produce elucidation of the way a brain functions. Now, if learning in ANNs is NP-Complete, they certainly can't fulfill use 1, and since its doubtful that the learning algorithm used in the brain is NP-Complete, they pretty likely can't fulfill use 2. Therefore, what we should like to see is ANNs based on a more complete neurological understanding (in simple words: listen to the neuroscientists). I was involved in a neuroscience course in my third year at college where they were talking about : 1) Synapses being a basic unit of computation (which the neuron was originally thought to be), and being networked through dendritic/axonic networks with the type of connectivity that would overcome NP-Completeness in the learning algorithm. 2) Neurons fulfilling a temporal function, not computational I had been involved in ANN research before going to college (I was lucky), but now wanted a slightly different job, and so maintained an interest in the field, but have not worked for about six years. To be honest, I thought it was going nowhere BEFORE I read Judd's book and took a Neuroscience course (overfitting, local minima, etc) ... these just told me WHY. Interestingly, Louis' method appears to be going on exactly the kind of lines that I thought was necessary, all that time ago. If I had never read Kuhn, I would have completely failed to understand why this did not happen sooner. Cheers, walrus.
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X-Google-Language: ENGLISH,ASCII-7-bit X-Google-Thread: 10d5b4,10bd0b81cba64349 X-Google-Attributes: gid10d5b4,public X-Google-Thread: 10461e,10bd0b81cba64349 X-Google-Attributes: gid10461e,public X-Google-Thread: 10ca9b,10bd0b81cba64349 X-Google-Attributes: gid10ca9b,public X-Google-Thread: f6b1a,10bd0b81cba64349 X-Google-Attributes: gidf6b1a,public X-Google-Thread: 101fc6,10bd0b81cba64349 X-Google-Attributes: gid101fc6,public X-Google-Thread: 10d04f,10bd0b81cba64349 X-Google-Attributes: gid10d04f,public From: "the_walrus@bigfoot.com" <the_walrus@bigfoot.com> Subject: Re: Announcement: The Temporal Neuron Revolution.... some thoughts Date: 1997/10/14 Message-ID: <344397B0.66CD@bigfoot.com> X-Deja-AN: 281844441 Distribution: inet References: <342b36de.10039603@news.earthlink.net> <342fb9ae.4111800@news.earthlink.net> <343AAFF1.6D35@dial.pipex.com> <343efdd4.28374986@news.earthlink.net> <34437E3B.400F@concentric.net> Organization: 'Dis Organisation Newsgroups: comp.ai,comp.ai.philosophy,comp.theory.self-org-sys,comp.theory.dynamic-sys,comp.ai.neural-nets,fr.comp.ia