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Models and processes of multisensory cue combination
Highlights•The brain can optimally integrate information across sensory
systems.•Probabilistic population codes solve many problems in multisensory cue …
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
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 …
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
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 …
must be something like how people perceive the physical world. This comparison has …
[HTML][HTML] The development of Bayesian integration in sensorimotor estimation
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 …
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.
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 …
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
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 …
together as a weighted average, creating a unified estimate that is more precise than either …
Bayes-like integration of a new sensory skill with vision
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 …
hallmark of this is Bayesian Cue Combination: combining multiple noisy estimates to …
Modeling development of natural multi-sensory integration using neural self-organisation and probabilistic population codes
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 …
integration tasks. Probabilistic population codes (PPCs) have been proposed as a …
A neural network model of ventriloquism effect and aftereffect
Presenting simultaneous but spatially discrepant visual and auditory stimuli induces a
perceptual translocation of the sound towards the visual input, the ventriloquism effect …
perceptual translocation of the sound towards the visual input, the ventriloquism effect …
[کتاب][B] Bayesian Models of the Mind
M Rescorla - 2025 - cambridge.org
Bayesian decision theory is a mathematical framework that models reasoning and decision-
making under uncertain conditions. The Bayesian paradigm originated as a theory of how …
making under uncertain conditions. The Bayesian paradigm originated as a theory of how …