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ORCIDNeuroImage, Volume 180
Volume 180, Number Part A, October 2018
- Chris I. Baker, Marcel van Gerven:
New advances in encoding and decoding of brain signals. 1-3 - Martin N. Hebart
, Chris I. Baker:
Deconstructing multivariate decoding for the study of brain function. 4-18 - Kai Görgen, Martin N. Hebart, Carsten Allefeld, John-Dylan Haynes:
The same analysis approach: Practical protection against the pitfalls of novel neuroimaging analysis methods. 19-30 - Anke Marit Albers, Thomas Meindertsma, Ivan Toni, Floris P. de Lange:
Decoupling of BOLD amplitude and pattern classification of orientation-selective activity in human visual cortex. 31-40 - Erin Goddard, Colin Klein, Samuel G. Solomon, Hinze Hogendoorn, Thomas A. Carlson:
Interpreting the dimensions of neural feature representations revealed by dimensionality reduction. 41-67 - Gaël Varoquaux:
Cross-validation failure: Small sample sizes lead to large error bars. 68-77 - R. S. van Bergen, Janneke F. M. Jehee:
Modeling correlated noise is necessary to decode uncertainty. 78-87 - Thomas A. Carlson, Erin Goddard, David M. Kaplan, Colin Klein, J. Brendan Ritchie:
Ghosts in machine learning for cognitive neuroscience: Moving from data to theory. 88-100 - Kendrick N. Kay:
Principles for models of neural information processing. 101-109 - Jonas Kubilius:
Predict, then simplify. 110-111 - H. Steven Scholte:
Fantastic DNimals and where to find them. 112-113 - Bryan P. Tripp:
A deeper understanding of the brain. 114-116 - Brandon M. Turner, Steven Miletic, Birte U. Forstmann:
Outlook on deep neural networks in computational cognitive neuroscience. 117-118 - Jörn Diedrichsen, Atsushi Yokoi, Spencer A. Arbuckle:
Pattern component modeling: A flexible approach for understanding the representational structure of brain activity patterns. 119-133 - Jacek P. Dmochowski, Jason J. Ki, Paul DeGuzman, Paul Sajda, Lucas C. Parra:
Extracting multidimensional stimulus-response correlations using hybrid encoding-decoding of neural activity. 134-146 - Leyla Isik, Jedediah Singer, Joseph R. Madsen, Nancy Kanwisher, Gabriel Kreiman:
What is changing when: Decoding visual information in movies from human intracranial recordings. 147-159 - Andrés Hoyos Idrobo, Gaël Varoquaux, Yannick Schwartz, Bertrand Thirion:
FReM - Scalable and stable decoding with fast regularized ensemble of models. 160-172 - Peter Zeidman, Edward Harry Silson, Dietrich Samuel Schwarzkopf, Chris Ian Baker, William D. Penny:
Bayesian population receptive field modelling. 173-187 - Ghislain St-Yves, Thomas Naselaris:
The feature-weighted receptive field: an interpretable encoding model for complex feature spaces. 188-202 - João Loula, Gaël Varoquaux, Bertrand Thirion:
Decoding fMRI activity in the time domain improves classification performance. 203-210 - Jordan Muraskin, Truman R. Brown, Jennifer M. Walz, Tao Tu, Bryan R. Conroy, Robin I. Goldman, Paul Sajda:
A multimodal encoding model applied to imaging decision-related neural cascades in the human brain. 211-222 - Kiran Vodrahalli, Po-Hsuan Chen, Yingyu Liang, Christopher Baldassano, Janice Chen, Esther Yong, Christopher J. Honey, Uri Hasson, Peter J. Ramadge, Kenneth A. Norman, Sanjeev Arora:
Mapping between fMRI responses to movies and their natural language annotations. 223-231 - Satoshi Nishida, Shinji Nishimoto:
Decoding naturalistic experiences from human brain activity via distributed representations of words. 232-242 - Jeremy R. Manning, Xia Zhu, Theodore L. Willke, Rajesh Ranganath, Kimberly L. Stachenfeld, Uri Hasson, David M. Blei, Kenneth A. Norman:
A probabilistic approach to discovering dynamic full-brain functional connectivity patterns. 243-252 - Katja Seeliger, M. Fritsche, Umut Güçlü, Sanne Schoenmakers, Jan-Mathijs Schoffelen, Sander E. Bosch, Marcel van Gerven:
Convolutional neural network-based encoding and decoding of visual object recognition in space and time. 253-266 - Dimitrios Pantazis, Mingtong Fang, Sheng Qin, Yalda Mohsenzadeh, Quanzheng Li, Radoslaw Martin Cichy:
Decoding the orientation of contrast edges from MEG evoked and induced responses. 267-279 - Yulia Revina, Lucy S. Petro, Lars Muckli:
Cortical feedback signals generalise across different spatial frequencies of feedforward inputs. 280-290 - Vittoria De Angelis, Federico De Martino, Michelle Moerel, Roberta Santoro, Lars Hausfeld, Elia Formisano:
Cortical processing of pitch: Model-based encoding and decoding of auditory fMRI responses to real-life sounds. 291-300 - Nick F. Ramsey, Efraïm Salari, Erik J. Aarnoutse, Mariska J. Vansteensel, Martin G. Bleichner, Zachary Freudenburg:
Decoding spoken phonemes from sensorimotor cortex with high-density ECoG grids. 301-311 - Koji Ikezoe, Mahya Amano, Shinji Nishimoto, Ichiro Fujita:
Mapping stimulus feature selectivity in macaque V1 by two-photon Ca2+ imaging: Encoding-model analysis of fluorescence responses to natural movies. 312-323 - Thorsten Kahnt:
A decade of decoding reward-related fMRI signals and where we go from here. 324-333
Volume 180, Number Part B, October 2018
- Catie Chang, Shella D. Keilholz, Robyn L. Miller, Mark W. Woolrich:
Mapping and interpreting the dynamic connectivity of the brain. 335-336 - Ankit N. Khambhati, Ann Sizemore, Richard F. Betzel, Danielle S. Bassett:
Modeling and interpreting mesoscale network dynamics. 337-349 - Jing Yuan, Xiang Li, Jinhe Zhang, Liao Luo, Qinglin Dong, Jinglei Lv, Yu Zhao, Xi Jiang, Shu Zhang, Wei Zhang, Tianming Liu:
Spatio-temporal modeling of connectome-scale brain network interactions via time-evolving graphs. 350-369 - Francesco de Pasquale, Maurizio Corbetta, Viviana Betti, Stefania Della Penna:
Cortical cores in network dynamics. 370-382 - Federico Cavanna, Martina G. Vilas, Matías Palmucci, Enzo Tagliazucchi:
Dynamic functional connectivity and brain metastability during altered states of consciousness. 383-395 - James M. Shine, Russell A. Poldrack:
Principles of dynamic network reconfiguration across diverse brain states. 396-405 - Makoto Fukushima, Richard F. Betzel, Ye He, Marcel A. de Reus, Martijn P. van den Heuvel, Xi-Nian Zuo, Olaf Sporns:
Fluctuations between high- and low-modularity topology in time-resolved functional connectivity. 406-416 - Ann Sizemore, Danielle S. Bassett:
Dynamic graph metrics: Tutorial, toolbox, and tale. 417-427 - Andreas Daffertshofer, Robert Ton, Bastian Pietras, Morten L. Kringelbach, Gustavo Deco:
Scale-freeness or partial synchronization in neural mass phase oscillator networks: Pick one of two? 428-441 - Andreas Daffertshofer, Robert Ton, Morten L. Kringelbach, Mark W. Woolrich, Gustavo Deco:
Distinct criticality of phase and amplitude dynamics in the resting brain. 442-447 - Garth J. Thompson:
Neural and metabolic basis of dynamic resting state fMRI. 448-462 - Michaël E. Belloy, Maarten Naeyaert, Anzar Abbas, Disha Shah, Verdi Vanreusel, Johan Van Audekerke, Shella D. Keilholz, Georgios A. Keliris, Annemarie van der Linden, Marleen Verhoye:
Dynamic resting state fMRI analysis in mice reveals a set of Quasi-Periodic Patterns and illustrates their relationship with the global signal. 463-484 - Xiao Liu, Nanyin Zhang, Catie Chang, Jeff H. Duyn:
Co-activation patterns in resting-state fMRI signals. 485-494 - Hua Xie, Vince D. Calhoun, Javier Gonzalez-Castillo, Eswar Damaraju, Robyn L. Miller, Peter A. Bandettini, Sunanda Mitra:
Whole-brain connectivity dynamics reflect both task-specific and individual-specific modulation: A multitask study. 495-504 - Aaron Kucyi:
Just a thought: How mind-wandering is represented in dynamic brain connectivity. 505-514 - Jessica R. Cohen:
The behavioral and cognitive relevance of time-varying, dynamic changes in functional connectivity. 515-525 - Javier Gonzalez-Castillo, Peter A. Bandettini:
Task-based dynamic functional connectivity: Recent findings and open questions. 526-533 - Matthieu Gilson, Gustavo Deco, Karl J. Friston, Patric Hagmann, Dante Mantini, Viviana Betti, Gian Luca Romani, Maurizio Corbetta:
Effective connectivity inferred from fMRI transition dynamics during movie viewing points to a balanced reconfiguration of cortical interactions. 534-546 - Pierre LeVan, Burak Akin, Jürgen Hennig:
Fast imaging for mapping dynamic networks. 547-558 - George C. O'Neill, Prejaas Tewarie, Diego Vidaurre, Lucrezia Liuzzi, Mark W. Woolrich, Matthew J. Brookes:
Dynamics of large-scale electrophysiological networks: A technical review. 559-576 - Christoph M. Michel, Thomas Koenig:
EEG microstates as a tool for studying the temporal dynamics of whole-brain neuronal networks: A review. 577-593 - Hae-Jeong Park, Karl J. Friston, Chongwon Pae, Bumhee Park, Adeel Razi:
Dynamic effective connectivity in resting state fMRI. 594-608 - Hernando C. Ombao, Mark Fiecas, Chee-Ming Ting, Yin Fen Low:
Statistical models for brain signals with properties that evolve across trials. 609-618 - Zening Fu, Yiheng Tu, Xin Di, Yuhui Du, Godfrey D. Pearlson, Jessica A. Turner, Bharat B. Biswal, Zhiguo Zhang, Vince D. Calhoun:
Characterizing dynamic amplitude of low-frequency fluctuation and its relationship with dynamic functional connectivity: An application to schizophrenia. 619-631 - Yuhui Du, Susanna Fryer, Zening Fu, Dongdong Lin, Jing Sui, Jiayu Chen, Eswar Damaraju, Eva Mennigen, Barbara Stuart, Rachel L. Loewy, Daniel H. Mathalon, Vince D. Calhoun:
Dynamic functional connectivity impairments in early schizophrenia and clinical high-risk for psychosis. 632-645 - Diego Vidaurre, Romesh G. Abeysuriya, Robert Becker, Andrew J. Quinn, Fidel Alfaro-Almagro, Stephen M. Smith, Mark W. Woolrich:
Discovering dynamic brain networks from big data in rest and task. 646-656
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