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Steven Pinker -- How the Mind Works - Hampshire High Italian ...

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236 I HOW THE MIND WORKSThe model works as follows. A unit turns on only if it gets <strong>the</strong> sameinputs from <strong>the</strong> two eyes (black or white), embodying <strong>the</strong> first assumption(each mark anchored to a surface). Because <strong>the</strong> units are interconnected,<strong>the</strong> activation of one unit nudges <strong>the</strong> activations of its neighborsup or down. Units for different matches lying along <strong>the</strong> same line of sightinhibit one ano<strong>the</strong>r, embodying <strong>the</strong> second assumption (no coincidentalmarkings aligned along a line of sight). Units for neighboring points atnearby depths excite one ano<strong>the</strong>r, emhodying <strong>the</strong> third assumption (matteris cohesive). The activations reverberate around <strong>the</strong> network, and iteventually stabilizes, with <strong>the</strong> activated units tracing out a contour indepth. In <strong>the</strong> diagram, <strong>the</strong> filled-in units are showing an edge hoveringover its background,The constraint-satisfaction technique, in which thousands of processorsmake tentative guesses and hash it out among <strong>the</strong>mselves until aglobal solution emerges, is consistent with <strong>the</strong> general idea that <strong>the</strong> brainworks with lots of interconnected processors computing in parallel. Itcaptures some of <strong>the</strong> psychology, too. When viewing a complicated random-dotstereogram, often you don't see <strong>the</strong> hidden figure erupt instantaneously.A bit of edge might pop out from <strong>the</strong> pepper, which <strong>the</strong>n liftsup a sheet, which cleans and straightens a Fuzzy border on <strong>the</strong> o<strong>the</strong>r side,and so on until <strong>the</strong> whole shape coalesces. We experience <strong>the</strong> solutionemerging, but not <strong>the</strong> struggle of <strong>the</strong> processors to come up with it. Theexperience is a good reminder that as we see and think, dozens of iterationsof information processing go on beneath <strong>the</strong> level of consciousness.The Marr-Poggio model captures <strong>the</strong> flavor of <strong>the</strong> brain's computationof stereo vision, but our real circuitry is surely more sophisticated. Experimentshave shown that when people are put in artificial worlds that violateassumptions about uniqueness and smoothness, <strong>the</strong>y don't see asbadly as <strong>the</strong> model predicts. The brain must be using additional kinds ofinformation to help solve <strong>the</strong> matchup problem, for one thing, <strong>the</strong> worldis not made up of random dots. The brain can match up all <strong>the</strong> littlediagonals, T's, zigzags, inkblots, and o<strong>the</strong>r jots and tittles in <strong>the</strong> two eyes'views (which even a random-dot stereogram has in abundance). Thereare far fewer false matches among jots and tittles than <strong>the</strong>re are amongdots, so <strong>the</strong> number of matches that have to be ruled out is radicallyshaved.Ano<strong>the</strong>r matchmaking trick is to exploit a different geometric consequenceof having two eyes, <strong>the</strong> one noticed by Leonardo: <strong>the</strong>re are partsof an object that one eye can see but that <strong>the</strong> o<strong>the</strong>r eye cannot. Hold a

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