PSYC340 Chapter Notes - Chapter 3: Necker Cube, Rat Man, Cognitive Model

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Well-formedness & feature nets: in a tachistoscope study, pirt lower threshold than itpr, hcel higher threshold than hice, but none are words! We(cid:859)(cid:448)e never seen them before: if certain letters tend to go together in english, then they will fire quicker, another level: bigram detectors after letter detectors. Figure/ground: **sakai resource tab: video of split-brain experiencing figure/ground picture; how different hemispheres interpret, how we define an object can change by the way we attend to the object, determining parts and whole. 4: the model we will address focuses on object recognition, ite(cid:373)s des(cid:272)(cid:396)i(cid:271)ed (cid:271)(cid:455) (cid:858)(cid:272)ou(cid:374)t (cid:374)ou(cid:374)s(cid:859) cup(s), shoe(s), dog(s), suitcase(s, not: sand, water, air, spilled paint, individual items with a shape! Artificial intelligence: how to create a machine that can do this: we break things down in regions of concavity: what we do when we perceive objects. Biederman turned to language: biede(cid:396)(cid:373)a(cid:374) (cid:894)1(cid:1013)(cid:1012)(cid:1011)(cid:895) (cid:862)we o(cid:374)l(cid:455) (cid:374)eed a(cid:271)out 44 pho(cid:374)e(cid:373)es (cid:894)sou(cid:374)ds(cid:895) to code all the words in english.

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