An optimal estimation approach to visual perception and learning.
about
A theory of cortical responsesPerceptual distortions in pitch and time reveal active prediction and support for an auditory pitch-motion hypothesis.Audiovisual synchrony enhances BOLD responses in a brain network including multisensory STS while also enhancing target-detection performance for both modalities.Bayesian calibration of simultaneity in audiovisual temporal order judgmentsObserving the observer (I): meta-bayesian models of learning and decision-making.A Bayesian perspective on sensory and cognitive integration in pain perception and placebo analgesia.Structure Learning in Bayesian Sensorimotor Integration.Human Inferences about Sequences: A Minimal Transition Probability ModelThe relative influences of priors and sensory evidence on an oculomotor decision variable during perceptual learning.The mechanisms of feature inheritance as predicted by a systems-level model of visual attention and decision making.Predictive coding.Optimal smoothing in visual motion perception.Sensory adaptation as Kalman filtering: theory and illustration with contrast adaptation.Bayesian Inference and Online Learning in Poisson Neuronal Networks.Visual recognition and inference using dynamic overcomplete sparse learning.The limits of feedforward vision: recurrent processing promotes robust object recognition when objects are degraded.Spike-timing-dependent Hebbian plasticity as temporal difference learning.Probabilistic models of state estimation predict visuomotor transformations during prism adaptation.Bayesian computation in recurrent neural circuits.Adaptive synchronization of activities in a recurrent network.Testing Bayesian models of human coincidence timing.Kalman filter control embedded into the reinforcement learning framework.Predictive Coding in Area V4: Dynamic Shape Discrimination under Partial Occlusion.Sensory cortex is optimized for prediction of future input
P2860
Q28254705-81EA3430-B828-4CDC-91AA-D4D6D6949987Q30451027-C7471B1B-C485-42CE-A78F-CF1C9E85D3B8Q30460903-D78E82E4-1AFA-40D1-8C13-BB5C6BD2A67EQ30465766-C8AF6CFD-16AB-49ED-9037-D162842A6670Q33778560-C51AE09A-CA14-409D-87D2-42FDEE9E6E71Q35064715-82397274-8607-4A90-BC59-F9E377F5A02FQ35754890-6C7A8685-E9FB-4C8C-A40F-2613E40A0F4AQ36234561-519CC407-632C-4602-8FEE-F22573AA17F7Q36978638-65BCD23C-82FF-493E-856C-1E902492CD01Q40379638-2DCD3863-6548-43CC-975E-23BD08E0546FQ40612864-08A5C895-A2B1-4534-9A54-E9A41ACAE56CQ40704617-EEA049A4-7EF4-487B-991F-BAF1F1D8249FQ44561683-272B2450-3842-492F-B95F-CADEE777B24AQ47417410-C007F15E-2D81-4CAC-9662-77C5528CB626Q48097268-A10E9925-394D-444E-B428-7AB1F1E3498BQ48404511-94090A4A-E5B8-4B2C-A8E5-AA478A6FCF01Q48779474-F9B661D7-6370-48E8-A713-056AFCCF5FA6Q51408860-5B839198-8599-4853-B5EB-B1BF8EA7DAE2Q51637083-E0305AD7-74C1-460E-BAD1-AEFF5B28C5D6Q51853024-E40F7275-4550-4404-BBC2-2CF03EC70B4DQ51977672-BF1B9B24-7AB5-4FA9-9BE0-5C6C7426739DQ52001419-7ADC3159-142C-4DBD-8172-FC6B3C5EFCF7Q55262774-D97DB54E-96D0-4A58-ABE7-023353C661B1Q56889766-25C8C550-2B81-46D8-B9E5-409440D0E845
P2860
An optimal estimation approach to visual perception and learning.
description
1999 nî lūn-bûn
@nan
1999年の論文
@ja
1999年学术文章
@wuu
1999年学术文章
@zh
1999年学术文章
@zh-cn
1999年学术文章
@zh-hans
1999年学术文章
@zh-my
1999年学术文章
@zh-sg
1999年學術文章
@yue
1999年學術文章
@zh-hant
name
An optimal estimation approach to visual perception and learning.
@en
An optimal estimation approach to visual perception and learning.
@nl
type
label
An optimal estimation approach to visual perception and learning.
@en
An optimal estimation approach to visual perception and learning.
@nl
prefLabel
An optimal estimation approach to visual perception and learning.
@en
An optimal estimation approach to visual perception and learning.
@nl
P1433
P1476
An optimal estimation approach to visual perception and learning.
@en
P2093
P304
P356
10.1016/S0042-6989(98)00279-X
P577
1999-06-01T00:00:00Z