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Page 408
... learning ( see Hypothesis 3.3.5.2-1 , page 99 ) , involves presenting an organism with an information input ( the unconditioned stimulus or US ) which elicits a definite , unlearned response ( the unconditioned response or UR ) . The US ...
... learning ( see Hypothesis 3.3.5.2-1 , page 99 ) , involves presenting an organism with an information input ( the unconditioned stimulus or US ) which elicits a definite , unlearned response ( the unconditioned response or UR ) . The US ...
Page 410
... learning . No generalization on error rates and time required for learning can be made across the various kinds of learning and the various species of organisms unless all the relevant variables are weighed . Single- trial learning ...
... learning . No generalization on error rates and time required for learning can be made across the various kinds of learning and the various species of organisms unless all the relevant variables are weighed . Single- trial learning ...
Page 495
... learning to discriminate nonsense syllables , EPAM stores both input images and output images . Input images need be only sufficiently complete for recognition ( which in some cases requires only the first of three letters of a nonsense ...
... learning to discriminate nonsense syllables , EPAM stores both input images and output images . Input images need be only sufficiently complete for recognition ( which in some cases requires only the first of three letters of a nonsense ...
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acid activity adjustment processes amino acids animals associated axon behavior bits blood boundary brain carry cell membrane cellular central nervous system cerebral cortex cesses changes channel capacity chemical complex cortex cross-level cytoplasm decision decoding decrease echelons encoding energy environment enzyme error Example experimental experiments extruder feedback fibers function genetic glands glucose higher hormones human HYPOTHESIS increased information input information output information processing input rate input transducer internal transducer learning living systems markers mation matter-energy memory ment microtubules mitochondria mitosis molecules motor nerve nervous system neural neurons nucleus occur organelles organism level organism's output rate output transducer oxygen patterns percent produce protein Psychol pulses receptor cells relationships Reprinted by permission response retina sensory signals simulation species storage stored stress structure subjects substances suprasystem synapses synthesis theory tion tissue transmission transmitted types variables various visual