Xref: utzoo comp.ai:8235 sci.bio:4175 sci.psychology:3890 alt.cyberpunk:5364 Path: utzoo!mnetor!geac!torsqnt!news-server.csri.toronto.edu!rutgers!cs.utexas.edu!swrinde!elroy.jpl.nasa.gov!ames!uakari.primate.wisc.edu!aplcen!jhunix!ins_atge From: ins_atge@jhunix.HCF.JHU.EDU (Thomas G Edwards) Newsgroups: comp.ai,sci.bio,sci.psychology,alt.cyberpunk Subject: Re: The Bandwidth of the Brain Summary: Attentional information filtering Message-ID: <7210@jhunix.HCF.JHU.EDU> Date: 18 Dec 90 08:17:54 GMT References: <37034@cup.portal.com> Followup-To: comp.ai Organization: The Johns Hopkins University - HCF Lines: 23 In article <37034@cup.portal.com> mmm@cup.portal.com (Mark Robert Thorson) writes: >There is a common myth that the brain is capable of enormous computational >bandwidth -- for example that the retina sends gigabauds worth of data to >the brain. I believe the computational bandwidth of the brain is quite low, >low enough that we could simulate a brain on today's computers if only we knew >how to do it. As far as visual processing goes, we know that a huge amount of the information which arrives in the retina is filtered out before we do serious cognitive processing. But there still is a huge bandwidth of visual information which is available to pre-attentive areas in brain, thought most of the pre-attentive visual processing is highly parallel. Also I think we are finding that what looked like near random nerve pulses are actually frequency and phase modulated (i.e. more bits per baud, just like a 9600 BPS modem). I will most strongly agree that post-attentional areas in many types of perception probably deal with alot less information than one would naively think, but the real challenge to artificial neural systems is performing the massive attentional task at hand. -Tom