about
Insights into cortical mechanisms of behavior from microstimulation experimentsFeedback and feedforward control of frequency tuning to naturalistic stimuliSelf-motion perception training: thresholds improve in the light but not in the dark.A new form of rapid binocular plasticity in adult with amblyopia.Perceptual learning in the absence of task or stimulus specificityAdaptive gain modulation in V1 explains contextual modifications during bisection learning.Hebbian Reweighting on Stable Representations in Perceptual LearningMicrostimulation reveals limits in detecting different signals from a local cortical region.Estimation of mental effort in learning visual search by measuring pupil responseMaximizing exposure therapy: an inhibitory learning approachBiased feedback in spatial recall yields a violation of delta rule learning.Data mining approaches for genome-wide association of mood disorders.Differential effects of visual feedback on subjective visual vertical accuracy and precision.Network evolution induced by asynchronous stimuli through spike-timing-dependent plasticityTop-down inputs enhance orientation selectivity in neurons of the primary visual cortex during perceptual learningDecision making about alcohol use: the case for scientific convergence.Task relevancy and demand modulate double-training enabled transfer of perceptual learningMixed training at high and low accuracy levels leads to perceptual learning without feedback.Perceptual learning via modification of cortical top-down signals.Neurotransmitter receptor heteromers and their integrative role in 'local modules': the striatal spine module.A framework for the first-person internal sensation of visual perception in mammals and a comparable circuitry for olfactory perception in Drosophila.Broad bandwidth of perceptual learning in the visual system of adults with anisometropic amblyopiaLearning to identify crowded letters: does the learning depend on the frequency of training?Model predictions of features in microsaccade-related neural responses in a feedforward network with short-term synaptic depressionResponse feedback triggers long-term consolidation of perceptual learning independently of performance gains.A model of microsaccade-related neural responses induced by short-term depression in thalamocortical synapses.Image interpretation by a single bottom-up top-down cycle.Vestibular signals in macaque extrastriate visual cortex are functionally appropriate for heading perceptionSpatiotemporal properties of microsaccades: Model predictions and experimental tests.Rehabilitation Approaches in Macular Degeneration Patients.Sensory experience and cortical rewiring.The role of alpha-rhythm states in perceptual learning: insights from experiments and computational models.Modeling mechanisms of perceptual learning with augmented Hebbian re-weighting.Altered sensory experience induces targeted rewiring of local excitatory connections in mature neocortex.Dichotomy in perceptual learning of interval timing: calibration of mean accuracy and precision differ in specificity and time course.Perceptual Learning Induces Persistent Attentional Capture by Nonsalient Shapes.Perceptual learning leads to long lasting visual improvement in patients with central vision loss.Photic-induced sensitization: acquisition of an augmenting spike-wave response in the adult rat through repeated strobe exposure.Fast response and high sensitivity to microsaccades in a cascading-adaptation neural network with short-term synaptic depression.Computing with a canonical neural circuits model with pool normalization and modulating feedback.
P2860
Q27022607-1B213CAC-D06C-4A51-B962-592396896150Q30372774-2792CDF8-C558-4DC2-986B-FD259E770F68Q30437345-E59E0600-76C5-4B3F-8F0A-1A15498D8E1FQ30544643-A63737EC-D8F7-438F-B11C-51DE5617D697Q33311477-61D465F7-A54A-4162-A194-F92C5F47D7A5Q33519514-24EE19F1-BEC7-45C1-8CD7-04C732FACE89Q33742670-D840B6A5-7568-4C46-948F-7DC239D89842Q33887258-0629168B-4E2B-4830-9D14-6422712C051FQ33961646-390D88B7-2222-49AF-A162-0843D5EC0223Q33968137-ADB68280-370E-41A3-9DDE-E2CFE0314893Q34065864-CDED3C6C-37DB-489B-917E-6298AACECA56Q34073774-AC814EFB-F082-4BE5-BC42-58A1B64B7AE6Q34477938-5C87BD98-13CA-4ACA-ADDE-AE8590A8CC13Q35083022-B81CFB1A-7AC8-407F-A277-9CE6437DDA2EQ35224449-6395820C-8EBB-4B6D-94B2-1F1539BCE43CQ35379550-4D0405D0-D21E-49FD-9B27-F769750811FDQ35583281-53A19CA1-C254-4EFA-BD10-33CAABEE58E0Q35899237-BD09C2C9-DB64-4994-B51E-1F87C5B55F3CQ35945014-FBC0715A-5CA0-41B1-ACCC-0013E89C90E2Q36087867-DA9C6DDB-B3E2-4D05-976E-FA784C7C55AEQ36415342-DD3FF4E4-F1AD-4D33-8E1B-EF8C8EEAA3F6Q36499301-4AF0FF39-99AA-4254-BB5A-836B68470A95Q36514078-9F0B6CA5-19EC-4805-BB2B-17A0DD9ED3F7Q36555536-281FFC2E-C80B-4D33-8BB4-08406FC21DC3Q36652911-35BCFA50-B315-4D7A-A578-F649531FD47BQ36786549-5D2099BC-B440-4013-9475-D7082077D000Q36936274-451D0648-716D-4B56-BC6E-721D5CABB203Q37308963-3EBB95D2-C37E-439D-B4EF-838EA513359BQ37339728-5C1D51A7-6871-4D54-B5B7-5DA74C329A8EQ37533137-C78317A1-543D-4157-810C-62CC50B82779Q37607896-0F3085C0-C6AD-45E7-9912-AE028EC534C0Q37697621-F1C9A5C1-3AFC-4D41-8512-8DA6D5A5BAA4Q42913025-30157029-5028-49D5-AD99-3CF00FB4686FQ43161435-64218D80-DE21-48E3-9CF8-075CCD1AF366Q45934991-A9187B28-F9BA-453B-8F06-FD0009455120Q45983029-EBA47040-F4A7-444E-AE1D-83BC96BAF6FDQ46395607-43F16102-78F7-44E0-B59E-05E7713D34A6Q46809103-45FF6B34-6CE5-40A9-A338-7011ABEEA0C1Q48055547-3129AFBD-07BA-47E8-9F3C-8CC2A9DF6872Q48523054-342CF0D9-E4F1-4000-8381-130DB92A8211
P2860
description
2004 nî lūn-bûn
@nan
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
2004年论文
@zh
2004年论文
@zh-cn
name
Neural networks and perceptual learning.
@ast
Neural networks and perceptual learning.
@en
type
label
Neural networks and perceptual learning.
@ast
Neural networks and perceptual learning.
@en
prefLabel
Neural networks and perceptual learning.
@ast
Neural networks and perceptual learning.
@en
P2860
P356
P1433
P1476
Neural networks and perceptual learning.
@en
P2093
Charles Gilbert
Misha Tsodyks
P2860
P2888
P304
P356
10.1038/NATURE03013
P407
P577
2004-10-01T00:00:00Z
P5875
P6179
1005223917