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PRNI 2016 - ACCEPTED PAPERS
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Fixed Low-Rank EEG Spatial Filter Estimation for Emotion Recognition Induced by Movies
Ken Yano, Advanced Telecommunications Research Institute International
Takayuki Suyama, Advanced Telecommunications Research Institute International
Regularization Parameter Selection for a Bayesian Group Sparse Multi-Task Regression Model with Application to Imaging Genomics
Farouk Nathoo, University of Victoria
Keelin Greenlaw, University of Victoria
Mary Lesperance, University of Victoria
Text-mining the NeuroSynth corpus using Deep Boltzmann Machines
Ricardo Monti, Imperial College London
Romy Lorenz, Imperial College London
Robert Leech, Imperial College London
Christoforos Anagnostopoulos, Imperial College London
Giovanni Montana, Kings College London
Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data
Sebastian Weichwald, Max Planck Institute for Intelligent Systems
Arthur Gretton, Gatsby Computational Neuroscience Unit
Bernhard Scholkopf, Max Planck Institute for Intelligent Systems
Moritz Dr. Grosse-Wentrup, Max Planck Institute for Intelligent Systems
Collapsed Variational Bayesian Inference of the Author-Topic Model: Application to Large-Scale Coordinate-Based Meta-Analysis
Gia Ngo, Singapore Institute for Neurotechnology
Simon Eickhoff, Heinrich Heine University
Peter Fox, University of Texas Health Science Center at San Antonio
Thomas Yeo, National University of Singapore
Voxel importance in classifier ensembles based on sign consistency patterns: Application to sMRI
Vanessa Gomez-Verdejo, Universidad Carlos III de Madrid
Emilio Parrado-Hernandez, Universidad Carlos III de Madrid
Jussi Tohka, Universidad Carlos III de Madrid
Novel histogram-weighted cortical thickness networks and a multi-scale analysis of predictive power in Alzheimer's disease
Pradeep Reddy Raamana, University of Toronto
Stephen Strother, Rotman Research Institute, Baycrest and U. of Toronto
Automated rejection and repair of bad trials in MEG/EEG`
Mainak Jas, Telecom ParisTech
Denis Engemann, NeuroSpin, CEA
Federico Raimondo, University of Buenos Aires
Yousra Bekhti, Telecom ParisTech
Alexandre Gramfort, Telecom ParisTech
M/EEG source localization with multi-scale time-frequency dictionaries
Yousra Bekhti, Telecom ParisTech
Daniel Strohmeier, Institute of Biomedical Engineering and Informatics
Mainak Jas, Telecom ParisTech
Roland Badeau, Telecom ParisTech
Alexandre Gramfort, Telecom ParisTech
Towards tailoring non-invasive brain stimulation using real-time fMRI and Bayesian optimization
Romy Lorenz, Imperial College London
Ricardo Monti, Imperial College London
Adam Hampshire, Imperial College London
Yury Koush, EPFL
Christoforos Anagnostopoulos, Imperial College London
Aldo Faisal, Imperial College London
David Sharp, Imperial College London
Giovanni Montana, Kings College London
Robert Leech, Imperial College London
Ines Violante, Imperial College London
Classifying HCP Task-fMRI Networks Using Heat Kernels
Ai Wern Chung, King's College London University
Emanuele Pesce, King's College London University
Ricardo Monti, Imperial College London
Giovanni Montana, Kings College London
Studying the brain from adolescence to adulthood through sparse multi-view matrix factorisations
Zi Wang, Kings College London
Vjaceslavs Karolis, Kings College London
Chiara Nosarti, Kings College London
Giovanni Montana, Kings College London
SHORE-based microstructural indices: do they tell us more?
Andres Mendez Guerrero, University of Verona
Gloria Menegaz, University of Verona
Beyond Cost Function Masking: RPCA-based Non-linear Registration in the Context of VLSM
Rene Werner, Department of Computational Neuroscience, University Medical Center Hamburg-Eppendorf
Matthias Wilms, Institute of Medical Informatics, University of Lubeck
Bastian Cheng, Department of Neurology, University Medical Center Hamburg-Eppendorf
Nils Forkert, Department of Radiology & Hotchkiss Brain Institute, University of Calgary
Infinite Feature Selection on SHORE-based biomarkers reveals connectivity modulation after stroke
Silvia Obertino, University of Verona
Giorgio Roffo, University of Verona
Gloria Menegaz, University of Verona
WEIRD - a fast and performant multivoxel pattern classifier
Matthias Guggenmos, Charite Universitatsmedizin Berlin
Katharina Schmack, Charite Universitatsmedizin Berlin
Philipp Sterzer, Charite Universitatsmedizin Berlin
Fast brain decoding with random sampling and random projections
Andres Hoyos-Idrobo, MSR-Inria
Gael Varoquaux, INRIA
Bertrand Thirion, INRIA
Independent Vector Analysis for Capturing Common Components in fMRI Group Analysis
Astrid Engberg, DTU
Kasper Andersen, DRCMR
Morten Morup, DTU
Kristoffer Madsen, DRCMR
Social-sparsity brain decoders: faster spatial sparsity
Gael Varoquaux, INRIA
Matthieu Kowalski, Supelec
Bertrand Thirion, INRIA Saclay-Ile-de-France
Prediction of Clinical Scores from Neuroimaging Data with Censored Likelihood Gaussian Processes
Anil Rao, University College London
Joao Monteiro, University College London
Janaina Mourao-Miranda, University College London
A species-specific pattern recognition framework for brain aging in mammals
Katja Franke, Structural Brain Mapping Group, University Hospital Jena
Spatial pyramid match kernels for brain image classification
Jonathan Young, Centre for Neuroimaging Sciences, King's College London
Classification-based Tests for Neuroimaging Data Analysis: Comparison of Best Practices
Muhaddisa Ali, University of Trento
Emanuele Olivetti, Fondazione Bruno Kessler and University of Trento
Representational similarity of actions in the human brain
Burcu Urgen, UC San Diego & University of Parma
Selen Pehlivan, TED University
Ayse Saygin, UC San Diego
Multiclass classification of 18F-DMFP-PET data to assist the diagnosis of parkinsonism
Fermin Segovia, University of Granada
Juan Manuel Gorriz, University of Granada
Javier Ramirez, University of Granada
Diego Salas-Gonzalez, University of Granada
Comparing magnitudes across dimensions: a univariate and multivariate approach
Valentina Borghesani, 1. Universite Pierre et Marie Curie
Maria Dolores de Hevia, Universite Paris Descartes, Sorbonne Paris Cite, Paris, France
Arnaud Viarouge, Laboratory for the Psychology of Child Dev. and Education, University Paris Descartes CNRS, France
Pedro Pinheiro Chagas, Universite Pierre et Marie Curie, Paris 6, Paris, France
Evelyn Eger, Cognitive Neuroimaging Unit, INSERM, Gif sur Yvette, France
Manuela Piazza, Center for Mind/Brain Sciences, University of Trento, Italy
Age-related changes of the representative modular structure in the brain
Balint File, Pazmany Peter Catholic University
Zoltan Klimaj, MR Research Center, Semmelweis University
Zoltan Somogyvari, Wigner Research Institute for Physics, HAS
Lajos Kozak, MR Research Center, Semmelweis University
Gyula Gyebnar, MR Research Center, Semmelweis University
Brigitta Toth, Institute of Neuroscience and Psychology, HAS
Zsofia Kardos, Institute of Neuroscience and Psychology, HAS
Istvan Ulbert, Institute of Neuroscience and Psychology, HAS
Mark Molnar, Institute of Neuroscience and Psychology, HAS
Addressing the problem of temporal correlations in MVPA analysis
Roee Gilron, Tel Aviv University
Jonathan D. Rosenblatt, Ben Gurion University
Roy Mukamel, Tel Aviv University
Boosting Connectome Classification via Combination of Geometric and Topological Normalizations
Dmitry Petrov, The Institute for Information Transmission Problems, Moscow, Russia
Yulia Dodonova, IITP
Leonid Zhukov, NRU HSE
Synergism of spectral and coupling modalities in epileptic focus localization from iEEG recordings
Tibor Nanasi, Inst. of Cog. Neurosci. and Psy., RCNS, HAS
Cross-modal searchlight classification: Methodological challenges and recommended solutions
Samuel Nastase, Dartmouth College
Ben Davis, University of Trento
Yaroslav Halchenko, Dartmouth College
Uri Hasson, University of Trento
Comparing functional connectivity based predictive models across datasets
Kamalakar Reddy, INRIA-CEA
Alexandre Abraham, INRIA-CEA
Mehdi Rahim, INRIA-CEA
Bertrand Thirion, INRIA-CEA
Gael P Varoquaux, INRIA-CEA
Evaluation of weight sparsity control during autoencoder training of resting-state fMRI using non-zero ratio and Hoyer's sparseness measure
Hyun-Chul Kim, Korea University
Jong-Hwan Lee, Korea University
Variational Group-PCA for Intrinsic Dimensionality Determination in fMRI Data
Jesper Hinrich, Technical University of Denmark, Section for Cognitive Systems
Soren F. V. Nielsen, Technical University of Denmark, Section for Cognitive Systems
Kristoffer Madsen, DRCMR
Morten Morup, Technical University of Denmark, Section for Cognitive Systems
ACCEPTED PAPERS
Poster Presentation
Oral Presentation
Poster Presentation
Dynamic Time Warping path-length as a measure of brain functional connectivity dynamics
Regina Meszlenyi, Hungarian Academy of Sciences
Ladislav Peska, Charles University in Prague
Viktor Gál, Hungarian Academy of Sciences
Zoltán Vidnyánszky, Hungarian Academy of Sciences
Krisztian Buza, Hungarian Academy of Sciences
EEG-based Semantic Category Classification using a Deep Neural Network
Juan Mayor Torres, University of Trento
Evgeny Stepanov, University of Trento
Brian Murphy, Belfast University
Giuseppe Riccardi, University of Trento
A Test for Shared Patterns in Cross-modal Brain Activation Analysis
Elena Kalinina, Fondazione Bruno kessler
Fabian Pedregosa, INRIA
Vittorio Iacovella, Fondazione Bruno Kessler
Paolo Avesani, Fondazione Bruno Kessler
Linear SVM discrimination maps for efficient prediction and classifier storage
Alle Meije Wink, VU University Medical Centre
Fiona Heeman, VU University Medical Centre
Jan C. de Munck, VU University Medical Centre
Rutger W. ter Borg, ArtiBit
Larry Evans, independent professional
Frederik Barkhof, VU University Medical Centre
Defining functional networks in the brain using density peaks and clustering
Ori Ossmy, Tel Aviv University
Visual and Semantic Feature Spaces for Zero-shot Image Decoding
Ben McCartney, Queen's University Belfast
Reproducibility and hierarchy of weight features from resting fMRI using deep belief network
Hojin Jang, Korea University
Jong-Hwan Lee, Korea University
Fingerprinting Heterogeneity of Glioma Using PET-MRI Information
Fatemeh Nejatbakhshesfahani, Technical University of Munich, Ludwig Maximilian University
Decoding category-related and exemplar-specific information from neuroimaging data using multivariate pattern analysis"
Sarah Alizadeh, Institute for Medical Psychology and Behavioral Neurobiology, University of Tubingen, Germany
Hamidreza Jamalabadi, Institute for Medical Psychology and Behavioral Neurobiology, University of Tubingen, Germany
Monika Schonauer, Institute for Medical Psychology and Behavioral Neurobiology, University of Tubingen, Germany
Steffen Gais. Institute for Medical Psychology and Behavioral Neurobiology, University of Tubingen, Germany
Investigating measurement conditions of EEG ERP for multivariate pattern analysis: sufficiency of lower spatial resolutions
Hamidreza Jamalabadi, Institute for Medical Psychology and Behavioral Neurobiology, University of Tubingen
Harjot Singh, Institute for Medical Psychology and Behavioral Neurobiology, University of Tubingen
Sarah Alizadeh, Institute for Medical Psychology and Behavioral Neurobiology, University of Tubingen
Monika Schonauer, Institute for Medical Psychology and Behavioral Neurobiology, University of Tubingen
Steffen Gais, Institute for Medical Psychology and Behavioral Neurobiology, University of Tubingen"
Performance evaluation of a hadoop-Spark platform in decoding visual stimuli
Arthur Dehgan, CENTRE MEG-EEG, ICM, CNRS UMR 7225
Caroline Etienne, CENTRE MEG-EEG, ICM, CNRS UMR 7225
Djalel Benbouzid, UPMC LIP6
Lydia Yahia Cherif, CENTRE MEG-EEG, ICM, CNRS UMR 7225
A comparative analysis for the construction of a discriminative glucose metabolic brain pattern in ALS between SVM and logistic regression preceded by a feature transformation
Martijn Devrome, KU Leuven
Michel Koole, KU Leuven
Koen Van Laere. KU Leuven
Time Course Consistency: A model-free approach to fMRI analysis
Matan Mazor, Sagol school of neuroscience, Tel Aviv university,The School of psychological sciences, Tel Aviv university
Roy Mukamel, Sagol school of neuroscience, Tel Aviv university,The School of psychological sciences, Tel Aviv university
Tikhonov regularized regression for voxel-wise modeling of fMRI responses to natural stories
Jenelle Feather, UC Berkeley- UCSF Graduate Program in Bioengineering,Helen Wills Neuroscience Institute, UC Berkeley
Alexander Huth, UC Berkeley- UCSF Graduate Program in Bioengineering,Helen Wills Neuroscience Institute, UC Berkeley
Anwar Nunez-Elizalde, UC Berkeley- UCSF Graduate Program in Bioengineering,Helen Wills Neuroscience Institute, UC Berkeley
Jack Gallant, UC Berkeley- UCSF Graduate Program in Bioengineering,Helen Wills Neuroscience Institute, UC Berkeley
Unsupervised feature extraction by time-contrastive learning from resting-state MEG data
Hiroshi Morioka, Department of Computer Science, University of Helsinki
Aapo Hyvarinen, Department of Computer Science, University of Helsinki
Modular organization of brain connectivity networks beyond the resolution limit
Carlo Nicolini, Center for Neuroscience and Cognitive Systems, Istituto Italiano di Tecnologia, Rovereto, Italy, University of Verona, Verona, Italy
Cecile Bordier, Center for Neuroscience and Cognitive Systems, Istituto Italiano di Tecnologia, Rovereto, Italy
Angelo Bifone, Center for Neuroscience and Cognitive Systems, Istituto Italiano di Tecnologia, Rovereto, Italy
Analysis of ERP components in the multisensory perception task across different reliability conditions
Mohammad-Ali Nikouei Mahani, University of Tehran,University of Tubingen
Saber Sheybani, University of Tehran,University of Tubingen
Karin Bausenhart, University of Tehran,University of Tubingen
Rolf Ulrich, University of Tehran,University of Tubingen
Majid Nili Ahmadabadi, University of Tehran,University of Tubingen
Tree-based methods: a competitive approach for pattern recognition in neuroimaging
Marie Wehenkel, University of Liege
Pierre Geurts, University of Liege
Christophe Phillips, University of Liege
ACCEPTED PAPERS
ACCEPTED ABSTRACTS
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