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- W2037855416 abstract "The existence of phonetic property detection by early infancy has been held as evidence for the existence of a genetically specified language acquisition device. A biologically plausible neural network was used in order to determine whether phonetic property detection might be the result of inductive learning in fetal humans, rather than genetic specification. Synaptic modification in the net is a function of presynaptic activity, synaptic strength, instantaneous cell activity, time-averaged cell activity, and global inhibition. Using critical band analysis and series of overlapping time windows, stop-vowel syllables from several speakers were transformed into lower-dimensional energy surfaces and used to train and test the network. Results suggest that detection of some phonetic properties may develop via inductive learning in auditory cortical connections. Neurons became selective for subsets of phonetic feature spaces, and developed representations of distinctive features that match classically described distinctive features for place of articulation. The network's solution makes use of the affinity structure of consonants." @default.
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- W2037855416 date "1990-11-01" @default.
- W2037855416 modified "2023-09-25" @default.
- W2037855416 title "Acoustic phonetic property development in a neural net model of early auditory learning" @default.
- W2037855416 doi "https://doi.org/10.1121/1.2028924" @default.
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