Generalisation of prior information for rapid Bayesian time estimation

QR Code

Generalisation of prior information for rapid Bayesian time estimation

To enable effective interaction with the environment, the brain combines noisy sensory information with expectations based on prior experience. There is ample evidence showing that humans can learn statistical regularities in sensory input and exploit this knowledge to improve perceptual decisions a...

Full description

Bibliographic Details
Main Authors:	Roach, Neil, McGraw, Paul, Whitaker, David, Heron, James
Format:	Article
Published:	National Academy of Sciences 2016
Subjects:	Bayesian inference Time perception Sensorimotor learning
Online Access:	https://eprints.nottingham.ac.uk/39536/

Similar Items

Learning priors for Bayesian perception in normal and atypical development
by: McKeown, Lucy
Published: (2024)

Object size determines the spatial spread of visual time
by: Fulcher, Corinne, et al.
Published: (2016)

Declarative modelling for Bayesian inference by shallow embedding
by: Nilsson, Henrik, et al.
Published: (2014)

GARCH dependence in extreme value models with Bayesian inference
by: Zhao, X., et al.
Published: (2011)

Asynchrony adaptation reveals neural population code for audio-visual timing
by: Roach, Neil W., et al.
Published: (2011)

A tutorial introduction to Bayesian inference for stochastic epidemic models using Approximate Bayesian Computation
by: Kypraios, Theodore, et al.
Published: (2017)

Topics in Bayesian inference and model assessment for partially observed stochastic epidemic models
by: Aristotelous, Georgios
Published: (2020)

Mitigating Model Misspecification with Variational Bayesian Inference
by: Krissaane, Ines
Published: (2024)

Bayesian edge-detection in image processing
by: Stephens, David A.
Published: (1990)

Estimating matrix travel light vehicle observations by volume sleeve approach inference bayes
by: Abusini, Sobri, et al.
Published: (2016)

Exact Bayesian inference for the Bingham distribution
by: Fallaize, Christopher J., et al.
Published: (2016)

Bayesian minimax estimation of the normal model with incomplete prior covariance matrix specification
by: Pham, DucSon, et al.
Published: (2010)

Modelling and Bayesian analysis of the Abakaliki smallpox data
by: Stockdale, Jessica E., et al.
Published: (2017)

Bayesian Inference for Stochastic Epidemic Models using Markov chain Monte Carlo Methods
by: Demiris, Nikolaos
Published: (2004)

Motor timing and covariation with time perception: investigating the role of handedness
by: O’Regan, Louise, et al.
Published: (2017)

Bayesian survival and hazard estimates for Weibull regression with censored data using modified Jeffreys prior
by: Ahmed, Al Omari Mohammed
Published: (2013)

On noise, uncertainty and inference for computational diffusion MRI
by: Manzano Patron, Jose Pedro
Published: (2023)

New mathematical approaches to the quantification of uncertainty affecting the measurement of U-value
by: De Simon, Lia
Published: (2017)

Estimation of parameters in mean-reverting stochastic systems
by: Tian, T., et al.
Published: (2014)

Bayesian nonparametric methods for individual-level stochastic epidemic models
by: Seymour, Rowland G.
Published: (2020)

Rate after-effects fail to transfer cross-modally: evidence for distributed sensory timing mechanisms
by: Motola, Aysha, et al.
Published: (2018)

Bayesian computational methods for stochastic epidemics
by: Stockdale, Jessica E.
Published: (2019)

The Relationship Between Sensorimotor Integration and Social Processing
by: Howard, Ellen M.
Published: (2023)

Reconstructing transmission trees for communicable diseases using densely sampled genetic data
by: Worby, Colin J., et al.
Published: (2016)

Bayesian analysis of a mastitis control plan to investigate the influence of veterinary prior beliefs on clinical interpretation
by: Green, Martin J., et al.
Published: (2009)

Bayesian estimation of prevalence of paratuberculosis in dairy herds enrolled in a voluntary Johne’s Disease Control Programme in Ireland
by: McAloon, Conor G., et al.
Published: (2016)

Encoding of rapid time-varying information is impaired in poor readers
by: Johnston, Richard, et al.
Published: (2017)

Dissociating contributions of the motor cortex to speech perception and response bias by using transcranial magnetic stimulation
by: Smalle, Eleonore H.M., et al.
Published: (2015)

Hierarchical Bayesian Spatial Models for Disease Mortality Rates
by: Mohamed Elobaid, Rafida
Published: (2009)

Bayesian interpretation of radiocarbon results
by: Christen, José Andrés
Published: (1994)

Bayesian inferences of the thermal properties of a wall using temperature and heat flux measurements
by: Iglesias, Marco, et al.
Published: (2018)

A novel fault detection and diagnostic petri net methodology for dynamic systems
by: Badmus, Taofeeq Alabi
Published: (2025)

Bayesian perspectives on statistical modelling
by: Polson, Nicholas G.
Published: (1988)

Investigating sensorimotor representations, processing and inhibition in Tourette Syndrome: Insights from fMRI, MRS and TMS
by: Smith, Caitlin Mairi
Published: (2025)

Classification System for Heart Disease Using Bayesian Classifier
by: Magendram, Anusha
Published: (2007)

Bayesian Network Classifiers for Damage Detection in Engineering Material
by: Mohamed Addin, Addin Osman
Published: (2007)

Bayesian nonparametrics for stochastic epidemic models
by: Kypraios, Theodore, et al.
Published: (2018)

Bayesian network modeling of gastrointestinal bleeding
by: Aisha, Nazziwa
Published: (2013)

A Bayesian approach for parameter estimation in multi-stage models
by: Pham, Hoa, et al.
Published: (2019)

Estimation of white matter fiber parameters from compressed multiresolution diffusion MRI using sparse Bayesian learning
by: Pisharady, Pramod Kumar, et al.
Published: (2017)