Decoding and mapping task states of the human brain via deep learning

Deep Neural Networks as Scientific Models

(2019) Radoslaw M. Cichy et al.   TRENDS IN COGNITIVE SCIENCES

Stimuli, presentation modality, and load‐specific brain activity patterns during n‐back task

(2019) Lucia Mencarelli et al.   HUMAN BRAIN MAPPING

Three pitfalls to avoid in machine learning

(2019) Patrick Riley   NATURE

Interpretable, highly accurate brain decoding of subtly distinct brain states from functional MRI using intrinsic functional networks and long short-term memory recurrent neural networks

(2019) Hongming Li et al.   NEUROIMAGE

Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning

(2018) Daniel S. Kermany et al.   CELL

Alzheimer rsquo s disease diagnostics by a 3D deeply supervised adaptable convolutional network

(2018) Mohammed Ghazal   Frontiers in Bioscience-Landmark

Large-scale, high-resolution comparison of the core visual object recognition behavior of humans, monkeys, and state-of-the-art deep artificial neural networks

(2018) Rishi Rajalingham et al.   JOURNAL OF NEUROSCIENCE

Neurofeedback with fMRI: A critical systematic review

(2018) Robert T. Thibault et al.   NEUROIMAGE

DeepNAT: Deep convolutional neural network for segmenting neuroanatomy

(2018) Christian Wachinger et al.   NEUROIMAGE

Transferring and generalizing deep-learning-based neural encoding models across subjects

(2018) Haiguang Wen et al.   NEUROIMAGE

Deep Learning for Computer Vision: A Brief Review

(2018) Athanasios Voulodimos et al.   Computational Intelligence and Neuroscience

Atlases of cognition with large-scale human brain mapping

(2018) Gaël Varoquaux et al.   PLoS Computational Biology

Predictive models avoid excessive reductionism in cognitive neuroimaging

(2018) Gaël Varoquaux et al.   CURRENT OPINION IN NEUROBIOLOGY

Deep learning with convolutional neural networks for EEG decoding and visualization

(2017) Robin Tibor Schirrmeister et al.   HUMAN BRAIN MAPPING

Brain tumor segmentation with Deep Neural Networks

(2017) Mohammad Havaei et al.   MEDICAL IMAGE ANALYSIS

Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review

(2017) Waseem Rawat et al.   NEURAL COMPUTATION

Seeing it all: Convolutional network layers map the function of the human visual system

(2017) Michael Eickenberg et al.   NEUROIMAGE

Task-specific feature extraction and classification of fMRI volumes using a deep neural network initialized with a deep belief network: Evaluation using sensorimotor tasks

(2017) Hojin Jang et al.   NEUROIMAGE

Using deep learning to investigate the neuroimaging correlates of psychiatric and neurological disorders: Methods and applications

(2017) Sandra Vieira et al.   NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS

Advances in fMRI Real-Time Neurofeedback

(2017) Takeo Watanabe et al.   TRENDS IN COGNITIVE SCIENCES

The Distributed Nature of Working Memory

(2017) Thomas B. Christophel et al.   TRENDS IN COGNITIVE SCIENCES

Generic decoding of seen and imagined objects using hierarchical visual features

(2017) Tomoyasu Horikawa et al.   Nature Communications

Decoding brain activity using a large-scale probabilistic functional-anatomical atlas of human cognition

(2017) Timothy N. Rubin et al.   PLoS Computational Biology

Resting State fMRI Functional Connectivity-Based Classification Using a Convolutional Neural Network Architecture

(2017) Regina J. Meszlényi et al.   Frontiers in Neuroinformatics

Using goal-driven deep learning models to understand sensory cortex

(2016) Daniel L K Yamins et al.   NATURE NEUROSCIENCE

Multimodal population brain imaging in the UK Biobank prospective epidemiological study

(2016) Karla L Miller et al.   NATURE NEUROSCIENCE

Deep neural network with weight sparsity control and pre-training extracts hierarchical features and enhances classification performance: Evidence from whole-brain resting-state functional connectivity patterns of schizophrenia

(2016) Junghoe Kim et al.   NEUROIMAGE

Unilateral Prefrontal Lesions Impair Memory-Guided Comparisons of Contralateral Visual Motion

(2015) T. Pasternak et al.   JOURNAL OF NEUROSCIENCE

Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream

(2015) U. Guclu et al.   JOURNAL OF NEUROSCIENCE

Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box

(2015) Francesco Ciompi et al.   MEDICAL IMAGE ANALYSIS

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep convolutional neural networks for multi-modality isointense infant brain image segmentation

(2015) Wenlu Zhang et al.   NEUROIMAGE

On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

(2015) Sebastian Bach et al.   PLoS One

Revisiting the role of persistent neural activity during working memory

(2014) Kartik K. Sreenivasan et al.   TRENDS IN COGNITIVE SCIENCES

Deep learning for neuroimaging: a validation study

(2014) Sergey M. Plis et al.   Frontiers in Neuroscience

The WU-Minn Human Connectome Project: An overview

(2013) David C. Van Essen et al.   NEUROIMAGE

Real-time fMRI neurofeedback: Progress and challenges

(2013) J. Sulzer et al.   NEUROIMAGE

Function in the human connectome: Task-fMRI and individual differences in behavior

(2013) Deanna M. Barch et al.   NEUROIMAGE

The Human Connectome Project: A data acquisition perspective

(2012) D.C. Van Essen et al.   NEUROIMAGE

FreeSurfer

(2012) Bruce Fischl   NEUROIMAGE

Perceptual Learning Incepted by Decoded fMRI Neurofeedback Without Stimulus Presentation

(2011) K. Shibata et al.   SCIENCE