about
Dynamical systems, attractors, and neural circuitsProbabilistic brains: knowns and unknownsBayesian action&perception: representing the world in the brainDistributed Bayesian Computation and Self-Organized Learning in Sheets of Spiking Neurons with Local Lateral InhibitionPosterior Probability Matching and Human Perceptual Decision MakingA probabilistic palimpsest model of visual short-term memoryBuilding Machines That Learn and Think Like PeopleStable individual characteristics in the perception of multiple embedded patterns in multistable auditory stimuli.Multi-stable perception balances stability and sensitivity.A Bayesian observer replicates convexity context effects in figure-ground perception.Can we identify non-stationary dynamics of trial-to-trial variability?Poisson-like spiking in circuits with probabilistic synapsesPredictive Context Influences Perceptual Selection during Binocular Rivalry.Stochastic Dynamics Underlying Cognitive Stability and Flexibility.Not noisy, just wrong: the role of suboptimal inference in behavioral variabilityPopulation rate dynamics and multineuron firing patterns in sensory cortexThe Behavioral Relevance of Cortical Neural Ensemble Responses Emerges Suddenly.Neural Variability and Sampling-Based Probabilistic Representations in the Visual Cortex.A model of subjective report and objective discrimination as categorical decisions in a vast representational space.Inference in the Brain: Statistics Flowing in Redundant Population Codes.Itinerancy between attractor states in neural systems.Theory of cortical function.The anchoring bias reflects rational use of cognitive resources.Nonlinear Bayesian filtering and learning: a neuronal dynamics for perception.Short term synaptic depression improves information transfer in perceptual multistability.Cortical Variability and Challenges for Modeling Approaches.Causal Inference and Explaining Away in a Spiking Network.Attention model of binocular rivalry.Critical slowing down and noise-induced intermittency in bistable perception: bifurcation analysis.Bayesian inference in auditory scenes.Catecholamines alter the intrinsic variability of cortical population activity and perception.Stochastic accumulation by cortical columns may explain the scalar property of multistable perception.Neural population densities shape network correlations.Neural-like computing with populations of superparamagnetic basis functions.
P2860
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P2860
description
2011 nî lūn-bûn
@nan
2011 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Bayesian sampling in visual perception.
@ast
Bayesian sampling in visual perception.
@en
type
label
Bayesian sampling in visual perception.
@ast
Bayesian sampling in visual perception.
@en
prefLabel
Bayesian sampling in visual perception.
@ast
Bayesian sampling in visual perception.
@en
P2860
P356
P1476
Bayesian sampling in visual perception.
@en
P2093
David C Knill
Rubén Moreno-Bote
P2860
P304
12491-12496
P356
10.1073/PNAS.1101430108
P407
P577
2011-07-08T00:00:00Z