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The default mode (DM) network is a major large-scale cerebral network that can be identified with functional magnetic resonance imaging (fMRI) during resting state. Most studies consider functional connectivity networks as stationary phenomena. Consequentl ...
Recent findings in cognitive neuroscience enable improved understanding of embodiment and egocentric space in architecture. From a historical perspective the human body has been inferred as a reference in the debate of architectonic proportion. It was sugg ...
According to the principles of embodied cognition, intelligent behavior must arise out of the coupled dynamics of an agent's brain, body, and environment. This suggests that the morphological complexity of a robot should scale in relation to the complexity ...
Acting in our environment and experiencing ourselves as conscious agents are fundamental aspects of human selfhood. While large advances have been made with respect to understanding human sensorimotor control from an engineering approach, knowledge about i ...
In the study of nonconscious processing, different methods have been used in order to render stimuli invisible. While their properties are well described, the level at which they disrupt nonconscious processing remains unclear. Yet, such accurate estimatio ...
This paper discusses the sources of product innovation in young innovative companies (YICs), here defined as firms engaged in product innovation and with less than 8 years of activity. In particular, we look at in-house and external R&D and at the acquisit ...
Recent studies have shown the importance of integrating multisensory information in the body representation for constituting self-consciousness. However, one idea that has received only scant attention is that our body representation is also constituted by ...
Aggressive memory-level-parallelism techniques have provided significant performance gain in Distributed Share Memory Designs. In this paper, we reevaluate speculative memory ordering in the context of Chip Multi-Processors (CMPs) and power-limited computa ...
With the advances in understanding perceptual properties of the human visual system and constructing their computational models, efforts toward incorporating human perceptual mechanisms in video compression to achieve maximal perceptual quality have receiv ...
Perceptual learning can occur when stimuli are only imagined, i.e., without proper stimulus presentation. For example, perceptual learning improved bisection discrimination when only the two outer lines of the bisection stimulus were presented and the cent ...
Association for Research in Vision and Ophthalmology2012