منابع مشابه
Evolino: Hybrid Neuroevolution/Optimal Linear Search for Sequence Learning
Current Neural Network learning algorithms are limited in their ability to model non-linear dynamical systems. Most supervised gradient-based recurrent neural networks (RNNs) suffer from a vanishing error signal that prevents learning from inputs far in the past. Those that do not, still have problems when there are numerous local minima. We introduce a general framework for sequence learning, ...
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Selection of a feature singleton target in visual search tasks, e.g., a red target among green distractors, is very fast--as if the target "popped out" of the display. Interestingly, reaction times (RTs) sometimes even decrease with an increase in the number of distractors (while keeping the presentation area fixed), i.e., there is a negative RT/display density relationship. Furthermore, repeat...
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ژورنال
عنوان ژورنال: Journal of Vision
سال: 2018
ISSN: 1534-7362
DOI: 10.1167/18.10.653