The Bayesian brain: the role of uncertainty in neural coding and computation

DC Knill, A Pouget - TRENDS in Neurosciences, 2004 - cell.com
To use sensory information efficiently to make judgments and guide action in the world, the
brain must represent and use information about uncertainty in its computations for …

Perceptual inference, learning, and attention in a multisensory world

U Noppeney - Annual review of neuroscience, 2021 - annualreviews.org
Adaptive behavior in a complex, dynamic, and multisensory world poses some of the most
fundamental computational challenges for the brain, notably inference, decision-making …

Suboptimality in perceptual decision making

D Rahnev, RN Denison - Behavioral and brain sciences, 2018 - cambridge.org
Human perceptual decisions are often described as optimal. Critics of this view have argued
that claims of optimality are overly flexible and lack explanatory power. Meanwhile …

[图书][B] In touch with the future: The sense of touch from cognitive neuroscience to virtual reality

A Gallace, C Spence - 2014 - books.google.com
Out of all the human senses, touch is the one that is most often unappreciated, and
undervalued. Yet, the surface of the human body, the skin, is actually one huge sheet of …

[HTML][HTML] The ventriloquist effect results from near-optimal bimodal integration

D Alais, D Burr - Current biology, 2004 - cell.com
Ventriloquism is the ancient art of making one's voice appear to come from elsewhere, an art
exploited by the Greek and Roman oracles, and possibly earlier [1]. We regularly experience …

Uncertainty, neuromodulation, and attention

JY Angela, P Dayan - Neuron, 2005 - cell.com
Uncertainty in various forms plagues our interactions with the environment. In a Bayesian
statistical framework, optimal inference and prediction, based on unreliable observations in …

Neural correlates of reliability-based cue weighting during multisensory integration

CR Fetsch, A Pouget, GC DeAngelis… - Nature neuroscience, 2012 - nature.com
Integration of multiple sensory cues is essential for precise and accurate perception and
behavioral performance, yet the reliability of sensory signals can vary across modalities and …

Decision theory, reinforcement learning, and the brain

P Dayan, ND Daw - Cognitive, Affective, & Behavioral Neuroscience, 2008 - Springer
Decision making is a core competence for animals and humans acting and surviving in
environments they only partially comprehend, gaining rewards and punishments for their …

[图书][B] The neural bases of multisensory processes

MM Murray, MT Wallace - 2011 - taylorfrancis.com
It has become accepted in the neuroscience community that perception and performance
are quintessentially multisensory by nature. Using the full palette of modern brain imaging …

Knowing how much you don't know: a neural organization of uncertainty estimates

DR Bach, RJ Dolan - Nature reviews neuroscience, 2012 - nature.com
How we estimate uncertainty is important in decision neuroscience and has wide-ranging
implications in basic and clinical neuroscience, from computational models of optimality to …