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This article seeks to establish a rapprochement between explicitly Bayesian models of contextual effects in perception and neural network models of such effects, particularly the connectionist interac...
The typical structure of equations influences how we learn the meaning of the equal sign. Previous studies have shown that as students gain experience with addition problems, they actually perform wor...
Several studies have been conducted to address the learning of a nonnative speech contrast in adulthood, using native speakers of Japanese and the English /r/–/l/ contrast. Japanese adults were asked ...
The neural basis of consciousness and explicit memory:Reflections on Kihlstrom,Mandler,&Rumelhart.
Neural mechanisms for the control and monitoring of memory:A parallel distrib-uted processing perspective.
The Handbook of Brain Theory and Neural Networks.
On the time course of perceptual choice:A model based on principles of neural computation.
Recursive structure is commonly found in the inputs of different modalities such as natural scene images or natural language sentences. Discovering this recursive structure helps us to not only identi...
Perception does not function as an isolated module but is tightly linked with other cognitive functions. Several studies have demonstrated an influence of language on motion perception, but it remains...
The fruitless gene (fru) encodes a set of transcription factors (Fru) that display sexually dimorphic gene expression in the brain of the fruit-fly; Drosophila melanogaster. Behavioural studies have d...
Current views on the neurobiological underpinnings oflanguage are discussed that deviate in a number of ways from the classical Wernicke–Lichtheim–Geschwind model. More areas than Broca’s and Wernicke...
This functional magnetic resonance imaging (fMRI) study investigates a crucial parameter in spatial description, namely variants in the frame of reference chosen. Two frames of reference are available...
Neural dissociation in processing noise and accent in spoken language comprehension.
According to embodied theories of language, people understand a verb like throw, at least in part, by mentally simulating throwing. This implicit simulation is often assumed to be similar or identical...
In this paper, we investigate the use of deep neural networks (DNNs) to generate a stacked bottleneck (SBN) feature representation for low-resource speech recognition. We examine different SBN extract...

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