Models and processes of multisensory cue combination

RL Seilheimer, A Rosenberg, DE Angelaki - Current opinion in …, 2014 - Elsevier
Highlights•The brain can optimally integrate information across sensory
systems.•Probabilistic population codes solve many problems in multisensory cue …

A tutorial on cue combination and Signal Detection Theory: Using changes in sensitivity to evaluate how observers integrate sensory information

PR Jones - Journal of Mathematical Psychology, 2016 - Elsevier
Many sensory inputs contain multiple sources of information ('cues'), such as two sounds of
different frequencies, or a voice heard in unison with moving lips. Often, each cue provides a …

Cue integration: A common framework for social cognition and physical perception

J Zaki - Perspectives on Psychological Science, 2013 - journals.sagepub.com
Scientists examining how people understand other minds have long thought that this task
must be something like how people perceive the physical world. This comparison has …

[HTML][HTML] The development of Bayesian integration in sensorimotor estimation

C Chambers, T Sokhey, D Gaebler-Spira… - Journal of …, 2018 - tvst.arvojournals.org
Examining development is important in addressing questions about whether Bayesian
principles are hard coded in the brain. If the brain is inherently Bayesian, then behavior …

Multisensory uncertainty reduction for hand localization in children and adults.

M Nardini, K Begus, D Mareschal - Journal of Experimental …, 2013 - psycnet.apa.org
Adults can integrate multiple sensory estimates to reduce their uncertainty in perceptual and
motor tasks. In recent studies, children did not show this ability until after 8 years. Here we …

Sensory cue combination in children under 10 years of age

J Negen, B Chere, LA Bird, E Taylor, HE Roome… - Cognition, 2019 - Elsevier
Cue combination occurs when two independent noisy perceptual estimates are merged
together as a weighted average, creating a unified estimate that is more precise than either …

Modeling development of natural multi-sensory integration using neural self-organisation and probabilistic population codes

J Bauer, J Dávila-Chacón, S Wermter - Connection Science, 2015 - Taylor & Francis
Humans and other animals have been shown to perform near-optimally in multi-sensory
integration tasks. Probabilistic population codes (PPCs) have been proposed as a …

Bayes-like integration of a new sensory skill with vision

J Negen, L Wen, L Thaler, M Nardini - Scientific Reports, 2018 - nature.com
Humans are effective at dealing with noisy, probabilistic information in familiar settings. One
hallmark of this is Bayesian Cue Combination: combining multiple noisy estimates to …

A neural network model of ventriloquism effect and aftereffect

E Magosso, C Cuppini, M Ursino - 2012 - journals.plos.org
Presenting simultaneous but spatially discrepant visual and auditory stimuli induces a
perceptual translocation of the sound towards the visual input, the ventriloquism effect …

Uncertainty in neural networks; bayesian ensembles, priors & prediction intervals

T Pearce - 2020 - repository.cam.ac.uk
The breakout success of deep neural networks (NNs) in the 2010's marked a new era in the
quest to build artificial intelligence (AI). With NNs as the building block of these systems …