about
A high-resolution 7-Tesla fMRI dataset from complex natural stimulation with an audio movieBrain hemodynamic activity during viewing and re-viewing of comedy movies explained by experienced humorSimilarity-Based Fusion of MEG and fMRI Reveals Spatio-Temporal Dynamics in Human Cortex During Visual Object RecognitionA Model of Representational Spaces in Human Cortex.Preserving neural function under extreme scalingComparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondenceRepetition suppression: a means to index neural representations using BOLD?Neural Differentiation Tracks Improved Recall of Competing Memories Following Interleaved Study and Retrieval PracticeShared memories reveal shared structure in neural activity across individuals.Discriminating taxonomic categories and domains in mental simulations of concepts of varying concreteness.Decreased cohesin in the brain leads to defective synapse development and anxiety-related behaviorOrganization of high-level visual cortex in human infantsPerceptual learning of degraded speech by minimizing prediction error.Feel the Noise: Relating Individual Differences in Auditory Imagery to the Structure and Function of Sensorimotor Systems.Hierarchical Organization of Auditory and Motor Representations in Speech Perception: Evidence from Searchlight Similarity Analysis.Categorical encoding of color in the brainLearning-related representational changes reveal dissociable integration and separation signatures in the hippocampus and prefrontal cortexDegradation of neural representations in higher visual cortex by sleep deprivation.Decoding Dynamic Brain Patterns from Evoked Responses: A Tutorial on Multivariate Pattern Analysis Applied to Time Series Neuroimaging Data.Contributions of low- and high-level properties to neural processing of visual scenes in the human brain.Resolving the neural dynamics of visual and auditory scene processing in the human brain: a methodological approach.Generic decoding of seen and imagined objects using hierarchical visual features.Development of visual category selectivity in ventral visual cortex does not require visual experience.Pruning of memories by context-based prediction errorRegions of mid-level human visual cortex sensitive to the global coherence of local image patchesGreater neural pattern similarity across repetitions is associated with better memory.Data-driven functional clustering reveals dominance of face, place, and body selectivity in the ventral visual pathwayUnique semantic space in the brain of each beholder predicts perceived similarityResolving human object recognition in space and time.Separate neural representations for physical pain and social rejection.Population coding of affect across stimuli, modalities and individuals.Representational similarity of social and valence information in the medial pFCNeural microgenesis of personally familiar face recognition.Human hippocampus represents space and time during retrieval of real-world memoriesHow the brain represents other minds.Attention promotes episodic encoding by stabilizing hippocampal representations.Experience-dependent hippocampal pattern differentiation prevents interference during subsequent learning.Associative-memory representations emerge as shared spatial patterns of theta activity spanning the primate temporal cortex.Awake reactivation predicts memory in humans.Dynamic updating of hippocampal object representations reflects new conceptual knowledge.
P2860
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P2860
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
2008年论文
@zh
2008年论文
@zh-cn
name
How does Nature Program Neuron Types?
@en
type
label
How does Nature Program Neuron Types?
@en
prefLabel
How does Nature Program Neuron Types?
@en
P2860
P1476
How does Nature Program Neuron Types?
@en
P2093
Alexander Borst
P2860
P356
10.3389/NEURO.01.016.2008
P577
2008-07-01T00:00:00Z