Pattern-information analysis: from stimulus decoding to computational-model testing.
about
Spatiotemporal Dynamics of Cortical Representations during and after Stimulus Presentation.Deep supervised, but not unsupervised, models may explain IT cortical representationA statistical approach for segregating cognitive task stages from multivariate fMRI BOLD time series.Multivoxel patterns reveal functionally differentiated networks underlying auditory feedback processing of speech.Maps of space in human frontoparietal cortex.Principal feature analysis: a multivariate feature selection method for fMRI data.First steps in using machine learning on fMRI data to predict intrusive memories of traumatic film footage.Functional MRI: Genesis, State of the art and the SequelElectroencephalogram-based decoding cognitive states using convolutional neural network and likelihood ratio based score fusion.Recent developments in multivariate pattern analysis for functional MRI.Internal representations for face detection: an application of noise-based image classification to BOLD responses.Shared "core" areas between the pain and other task-related networksPredicting the Time Course of Individual Objects with MEGA toolbox for representational similarity analysis.Retrieval induces adaptive forgetting of competing memories via cortical pattern suppression.The Decoding Toolbox (TDT): a versatile software package for multivariate analyses of functional imaging data.Radial Frequency Analysis of Contour Shapes in the Visual Cortex.The relationship between working memory storage and elevated activity as measured with functional magnetic resonance imaging.Representational models: A common framework for understanding encoding, pattern-component, and representational-similarity analysis.Prioritized maps of space in human frontoparietal cortexEpisodic reinstatement in the medial temporal lobe.Decoding the neural mechanisms of human tool use.Extremes of eating are associated with reduced neural taste discriminationVisual interactions conform to pattern decorrelation in multiple cortical areas.Awake reactivation predicts memory in humans.Differential roles of the frontal and parietal cortices in the control of saccades.A pupil size response model to assess fear learning.Suppressing unwanted memories reduces their unconscious influence via targeted cortical inhibition.The similarity structure of distributed neural responses reveals the multiple representations of letters.Functional Sensitivity of 2D Simultaneous Multi-Slice Echo-Planar Imaging: Effects of Acceleration on g-factor and Physiological Noise.Representational geometry: integrating cognition, computation, and the brain.Object Recognition in Mental Representations: Directions for Exploring Diagnostic Features through Visual Mental Imagery.Multi-Connection Pattern Analysis: Decoding the representational content of neural communication.Deconstructing multivariate decoding for the study of brain function.Music of the 7Ts: Predicting and Decoding Multivoxel fMRI Responses with Acoustic, Schematic, and Categorical Music Features.First Steps in Using Multi-Voxel Pattern Analysis to Disentangle Neural Processes Underlying Generalization of Spider Fear.Inferring brain-computational mechanisms with models of activity measurements.There and up again: on the uses and misuses of neuroimaging in psychology.Classical Statistics and Statistical Learning in Imaging Neuroscience.Identifying Neuroimaging Markers of Motor Disability in Acute Stroke by Machine Learning Techniques.
P2860
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P2860
Pattern-information analysis: from stimulus decoding to computational-model testing.
description
2011 nî lūn-bûn
@nan
2011 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի հունվարին 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
Pattern-information analysis: from stimulus decoding to computational-model testing.
@ast
Pattern-information analysis: from stimulus decoding to computational-model testing.
@en
type
label
Pattern-information analysis: from stimulus decoding to computational-model testing.
@ast
Pattern-information analysis: from stimulus decoding to computational-model testing.
@en
prefLabel
Pattern-information analysis: from stimulus decoding to computational-model testing.
@ast
Pattern-information analysis: from stimulus decoding to computational-model testing.
@en
P1433
P1476
Pattern-information analysis: from stimulus decoding to computational-model testing.
@en
P304
P356
10.1016/J.NEUROIMAGE.2011.01.061
P407
P577
2011-01-31T00:00:00Z