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Emergent auditory feature tuning in a real-time neuromorphic VLSI system

Many sounds of ecological importance, such as communication calls, are characterised by time-varying spectra. However, most neuromorphic auditory models to date have focused on distinguishing mainly static patterns, under the assumption that dynamic patterns can be learned as sequences of static one...

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Principais autores: Sadique eSheik, Martin eCoath, Giacomo eIndiveri, Susan L Denham, Thomas eWennekers, Elisabetta eChicca
פורמט: Artigo
שפה:Inglês
יצא לאור: Frontiers Media S.A. 2012-02-01
סדרה:Frontiers in Neuroscience
נושאים:
auditory
STDP
neuromorphic VLSI
unsupervised learning
Address Event Representation (AER)
mismatch
גישה מקוונת:http://journal.frontiersin.org/Journal/10.3389/fnins.2012.00017/full
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