Encoding brain network response to free viewing of videos

[1]  Xi Jiang,et al.  Survey of encoding and decoding of visual stimulus via FMRI: an image analysis perspective , 2013, Brain Imaging and Behavior.

[2]  Xiang Ji,et al.  Representing and Retrieving Video Shots in Human-Centric Brain Imaging Space , 2013, IEEE Transactions on Image Processing.

[3]  D. Shen,et al.  DICCCOL: dense individualized and common connectivity-based cortical landmarks. , 2013, Cerebral cortex.

[4]  Lei Guo,et al.  Predicting functional cortical ROIs via DTI-derived fiber shape models. , 2012, Cerebral cortex.

[5]  Xian-Sheng Hua,et al.  Bridging the Semantic Gap via Functional Brain Imaging , 2012, IEEE Transactions on Multimedia.

[6]  J. Gallant,et al.  Reconstructing Visual Experiences from Brain Activity Evoked by Natural Movies , 2011, Current Biology.

[7]  K. Kawano,et al.  Role of Temporal Processing Stages by Inferior Temporal Neurons in Facial Recognition , 2011, Front. Psychology.

[8]  Degang Zhang,et al.  Optimization of functional brain ROIs via maximization of consistency of structural connectivity profiles , 2011, NeuroImage.

[9]  Jack L. Gallant,et al.  Encoding and decoding in fMRI , 2011, NeuroImage.

[10]  Dimitri Van De Ville,et al.  Decoding brain states from fMRI connectivity graphs , 2011, NeuroImage.

[11]  Tianming Liu A few thoughts on brain ROIs , 2011, Brain Imaging and Behavior.

[12]  J. Haynes Brain Reading: Decoding Mental States From Brain Activity In Humans , 2011 .

[13]  Olaf Sporns,et al.  MR connectomics: Principles and challenges , 2010, Journal of Neuroscience Methods.

[14]  Koen E. A. van de Sande,et al.  Evaluating Color Descriptors for Object and Scene Recognition , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[15]  E. Bullmore,et al.  Behavioral / Systems / Cognitive Functional Connectivity and Brain Networks in Schizophrenia , 2010 .

[16]  D. Heeger,et al.  Reliability of cortical activity during natural stimulation , 2010, Trends in Cognitive Sciences.

[17]  Karl J. Friston Modalities, Modes, and Models in Functional Neuroimaging , 2009, Science.

[18]  Ryan J. Prenger,et al.  Bayesian Reconstruction of Natural Images from Human Brain Activity , 2009, Neuron.

[19]  Dirk B. Walther,et al.  Natural Scene Categories Revealed in Distributed Patterns of Activity in the Human Brain , 2009, The Journal of Neuroscience.

[20]  Jessica A. Turner,et al.  Neuroinformatics Original Research Article , 2022 .

[21]  Li Fei-Fei,et al.  Neural mechanisms of rapid natural scene categorization in human visual cortex , 2009, Nature.

[22]  Kendrick N Kay,et al.  I can see what you see , 2009, Nature Neuroscience.

[23]  Tom M. Mitchell,et al.  Machine learning classifiers and fMRI: A tutorial overview , 2009, NeuroImage.

[24]  Masa-aki Sato,et al.  Visual Image Reconstruction from Human Brain Activity using a Combination of Multiscale Local Image Decoders , 2008, Neuron.

[25]  G. Rees,et al.  Fine-scale activity patterns in high-level visual areas encode the category of invisible objects. , 2008, Journal of vision.

[26]  Tom Michael Mitchell,et al.  Predicting Human Brain Activity Associated with the Meanings of Nouns , 2008, Science.

[27]  J. Gallant,et al.  Identifying natural images from human brain activity , 2008, Nature.

[28]  N. Logothetis,et al.  Natural vision reveals regional specialization to local motion and to contrast-invariant, global flow in the human brain. , 2008, Cerebral cortex.

[29]  Brian A. Wandell,et al.  Population receptive field estimates in human visual cortex , 2008, NeuroImage.

[30]  Richard Szeliski,et al.  A Database and Evaluation Methodology for Optical Flow , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[31]  Jean-Baptiste Poline,et al.  Analysis of a large fMRI cohort: Statistical and methodological issues for group analyses , 2007, NeuroImage.

[32]  Paul Over,et al.  Evaluation campaigns and TRECVid , 2006, MIR '06.

[33]  Vaidehi S. Natu,et al.  Category-Specific Cortical Activity Precedes Retrieval During Memory Search , 2005, Science.

[34]  Tom M. Mitchell,et al.  Learning to Decode Cognitive States from Brain Images , 2004, Machine Learning.

[35]  S. Zeki,et al.  Functional brain mapping during free viewing of natural scenes , 2004, Human brain mapping.

[36]  Klaas E. Stephan,et al.  The anatomical basis of functional localization in the cortex , 2002, Nature Reviews Neuroscience.

[37]  D. Heeger,et al.  In this issue , 2002, Nature Reviews Drug Discovery.

[38]  A. Ishai,et al.  Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal Cortex , 2001, Science.

[39]  N. Logothetis,et al.  Neurophysiological investigation of the basis of the fMRI signal , 2001, Nature.

[40]  Johan A. K. Suykens,et al.  Least Squares Support Vector Machine Classifiers , 1999, Neural Processing Letters.

[41]  Karl J. Friston,et al.  Analysis of fMRI Time-Series Revisited , 1995, NeuroImage.

[42]  M. Greicius,et al.  Decoding subject-driven cognitive states with whole-brain connectivity patterns. , 2012, Cerebral cortex.

[43]  Ricky J. Sethi,et al.  Motion Pattern Analysis for Modeling and Recognition of Complex Human Activities , 2011 .

[44]  Ricky J. Sethi,et al.  Modeling and Recognition of Complex Human Activities , 2011, Visual Analysis of Humans.

[45]  Matthijs C. Dorst Distinctive Image Features from Scale-Invariant Keypoints , 2011 .

[46]  John R. Smith,et al.  IBM Research TRECVID-2009 Video Retrieval System , 2009, TRECVID.