Sensory uncertainty decoded from visual cortex predicts behavior
Reads0
Chats0
TLDR
Using fMRI in combination with a generative model-based analysis, it is found that probability distributions reflecting sensory uncertainty could reliably be estimated from human visual cortex and, moreover, that observers appeared to use knowledge of this uncertainty in their perceptual decisions.Abstract:
Bayesian theories of neural coding propose that sensory uncertainty is represented by a probability distribution encoded in neural population activity, but direct neural evidence supporting this hypothesis is currently lacking. Using fMRI in combination with a generative model-based analysis, we found that probability distributions reflecting sensory uncertainty could reliably be estimated from human visual cortex and, moreover, that observers appeared to use knowledge of this uncertainty in their perceptual decisions.read more
Citations
More filters
Journal ArticleDOI
Laws of concatenated perception: Vision goes for novelty, Decisions for perseverance
David Pascucci,David Pascucci,Giovanni Mancuso,Elisa Santandrea,Chiara Della Libera,Gijs Plomp,Leonardo Chelazzi +6 more
TL;DR: A unified account of serial dependence is proposed in which functionally distinct mechanisms, operating at different stages, promote the differentiation and integration of visual information over time.
Journal ArticleDOI
The idiosyncratic nature of confidence.
Joaquin Navajas,Joaquin Navajas,Chandni Hindocha,Hebah Foda,Mehdi Keramati,Peter E. Latham,Bahador Bahrami +6 more
TL;DR: Using behavioural experiments and computational modelling, Navajas and colleagues provide a systematic characterization of individual differences in human confidence.
Journal ArticleDOI
Accounting for stimulus-specific variation in precision reveals a discrete capacity limit in visual working memory.
TL;DR: The hypothesis that a major source of variability in VWM performance arises from systematic variation in precision across the stimuli themselves is evaluated; such stimulus-specific variability can be incorporated into both discrete-capacity and variable-precision resource models.
Journal ArticleDOI
A neural basis of probabilistic computation in visual cortex
Edgar Y. Walker,R. James Cotton,R. James Cotton,Wei Ji Ma,Andreas S. Tolias,Andreas S. Tolias +5 more
TL;DR: This paper decoded the likelihood function from the trial-to-trial population activity and found that it predicted decisions better than a point estimate of orientation and remained true when conditioned on the true orientation.
References
More filters
Journal ArticleDOI
The Psychophysics Toolbox.
TL;DR: The Psychophysics Toolbox is a software package that supports visual psychophysics and its routines provide an interface between a high-level interpreted language and the video display hardware.
Journal ArticleDOI
The VideoToolbox software for visual psychophysics: transforming numbers into movies.
TL;DR: The VideoToolbox is a free collection of two hundred C subroutines for Macintosh computers that calibrates and controls the computer-display interface to create accurately specified visual stimuli.
Journal ArticleDOI
Improved optimization for the robust and accurate linear registration and motion correction of brain images
Journal ArticleDOI
Cortical Surface-Based Analysis II: Inflation, Flattening, and a Surface-Based Coordinate System
TL;DR: A set of procedures for modifying the representation of the cortical surface to inflate it so that activity buried inside sulci may be visualized, cut and flatten an entire hemisphere, and transform a hemisphere into a simple parameterizable surface such as a sphere for the purpose of establishing a surface-based coordinate system are designed.
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.
Related Papers (5)
Bayesian inference with probabilistic population codes.
Decoding reveals the contents of visual working memory in early visual areas
Stephenie A. Harrison,Frank Tong +1 more