Merging the senses into a robust percept
TLDR
It is shown that, depending on the type of information, different combination and integration strategies are used and that prior knowledge is often required for interpreting the sensory signals.About:
This article is published in Trends in Cognitive Sciences.The article was published on 2004-04-01 and is currently open access. It has received 1628 citations till now. The article focuses on the topics: Percept & Information integration.read more
Citations
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Journal ArticleDOI
Continual lifelong learning with neural networks: A review.
TL;DR: This review critically summarize the main challenges linked to lifelong learning for artificial learning systems and compare existing neural network approaches that alleviate, to different extents, catastrophic forgetting.
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Crossmodal correspondences: A tutorial review
TL;DR: The literature reviewed here supports the view thatCrossmodal correspondences need to be considered alongside semantic and spatiotemporal congruency, among the key constraints that help the authors' brains solve the crossmodal binding problem.
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Principles of sensorimotor learning.
TL;DR: Here a review of recent research in human motor learning with an emphasis on the computational mechanisms that are involved is reviewed.
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Multisensory Interplay Reveals Crossmodal Influences on ‘Sensory-Specific’ Brain Regions, Neural Responses, and Judgments
TL;DR: This work surveys recent progress in this multisensory field, foregrounding human studies against the background of invasive animal work and highlighting possible underlying mechanisms.
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Sensorimotor synchronization: A review of recent research (2006–2012)
Bruno H. Repp,Yi-Huang Su +1 more
TL;DR: It is evident that much new knowledge about SMS has been acquired in the last 7 years, and more recent research in what appears to be a burgeoning field is surveyed.
References
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A 2dvEv- bit distributed algorithm for the directed Euler trail problem
Wen-Huei Chen,Chuan Yi Tang +1 more
TL;DR: The algorithm can be used as a building block for solving other distributed graph problems, and can be slightly modified to run on a strongly-connected diagraph for generating the existent Euler trail or to report that no Euler trails exist.
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New Results in Linear Filtering and Prediction Theory
R. E. Kalman,R. S. Bucy +1 more
TL;DR: The Duality Principle relating stochastic estimation and deterministic control problems plays an important role in the proof of theoretical results and properties of the variance equation are of great interest in the theory of adaptive systems.
Book
Adaptive filtering prediction and control
Graham C. Goodwin,Kwai Sang Sin +1 more
TL;DR: This unified survey focuses on linear discrete-time systems and explores the natural extensions to nonlinear systems and summarizes the theoretical and practical aspects of a large class of adaptive algorithms.
Journal ArticleDOI
Humans integrate visual and haptic information in a statistically optimal fashion.
TL;DR: The nervous system seems to combine visual and haptic information in a fashion that is similar to a maximum-likelihood integrator, and this model behaved very similarly to humans in a visual–haptic task.
Journal ArticleDOI
Spatiotemporal energy models for the perception of motion
TL;DR: In this article, the first stage consists of linear filters that are oriented in space-time and tuned in spatial frequency, and the outputs of quadrature pairs of such filters are squared and summed to give a measure of motion energy.
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Humans integrate visual and haptic information in a statistically optimal fashion.
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