Schedule:
We meet at 3 pm every Monday at CIRC conference room (MD6 Basement 1). If you have any trouble accessing the location, please call Nicole Kuek (82889332). Please note that on every third Monday each month, there will be the CogNeuro journal club instead of Yeolab journal club.
If you want to know more about the details of journal club schedule, please click the link here:
YeoLab Journal Club Schedule
CogNeuro Journal Club Schedule
In lieu of upcoming conferences and classes, there will be no journal club for the next few weeks. Journal club will recommence on 8th April.
Past Meetings:
18/03/2019
CCA and PLS. Written by Nanbo
25/02/2019
"Novel ways to probe brain function: beyond stationary functional connectivity measurements" Presented by Thomas Bolton
18/02/2019
Lepperod et al. "Inferring causal connectivity from pairwise recordings and optogenetics." [Paper][notes] Presented by Jingwei
18/02/2019
When to Standardize Predictors of Linear Regression. Written by Nanbo.
11/02/2019
"The role of tau neurofibrillary tangles in Alzheimer's disease" and "Gene expression in the hippocampus", Presented by Jacob Vogel.
28/01/2019
"Brain mapping and individual predictions" Presented by Simon Eickhoff.
14/1/2019
Marinescu et al."Quasi-experimental causality in neuroscience and behavioural research" [Paper] Presented by Jingwei
7/1/2019
"Individual variation in brain structure and function in Autism Spectrum Disorders: A subject-level distance-based approach". Presented by Emmanuel Pua.
10/12/2018
Marco et al. "“Why Should I Trust You?” Explaining the Predictions of Any Classifier " [Paper] Presented by Nanbo.
03/12/2018
Padarinath et al. "Inferring single-trial neural population dynamics using sequential auto-encoders" [Paper][Supplementary Material] Presented by HeTong.
26/11/2018
Han et al. "Functional Parcellation of the Cerebral Cortex Across the Human Adult Lifespan" [Paper][Supplementary Material] Presented by Ruby.
29/10/2018
Rajchl et al. "NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation Pipelines" [Paper] Presented by Minh.
22/10/2018
Dickie et al. "Personalized Intrinsic Network Topography Mapping and Functional Connectivity Deficits in Autism Spectrum Disorder" [Paper] [Supplementary Material] Presented by Yang Qing.
15/10/2018
Cordani et al. "Endogenous modulation of human visual cortex activity improves perception at twilight." [Paper] [Supplementary Material] Presented by Csaba.
8/10/2018
Conti et al. "Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents" [paper]. Presented by Xiaolu.
1/10/2018
Becker et al. "Gaussian Process Uncertainty in Age Estimation as a Measure of Brain Abnormality" [paper]. Presented by Jianzhong
17/09/2018
de Lange et al. "Shared vulnerability for connectome alterations across psychiatric and neurological brain disorders" [paper][supplementary material]. Presented by Valeria
10/09/2018
Rosefeld et al. "The Elephant in the Room" [paper]. Presented by Hetong
03/09/2018
Greene et al. "Task-induced brain state manipulation improves prediction of individual traits". [paper][Supplementary material] Presented by Jingwei
20/08/2018
Figurnov et al. "Implicit Reparameterization Gradients". [paper][notes] Presented by Nanbo
13/08/2018
Elliot et al. "A Connectome-wide Functional Signature of Transdiagnostic Risk for Mental Illness." [paper] Presented by Valeria.
06/08/2018
Nayebi et al. "Task-Driven Convolutional Recurrent Models of the Visual System." [paper] Presented by Kshitij Dwivedi.
30/07/2018
Yu et al. "Statistical harmonization corrects site effects in functional connectivity measurements from multi-site fMRI data."
[paper][notes]. Presented by Jingwei.
23/07/2018
Liu et al. "Subcortical evidence for a contribution of arousal to fMRI studies of brain activity" [paper 1] and Turchi et al. "The Basal Forebrain Regulates Global Resting-State fMRI Fluctuations" [paper 2].. Presented by Csaba.
16/07/2018
Chhatwal et al. "Preferential Degradation of cognitive networks differentiates Alzheimer's disease from ageing" [paper]. Presented by Nanbo.
09/07/2018
Dalca et al. "Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation" [paper][notes]. Presented by Jianxiao.
02/07/2018
Kingma et al "Auto-Encoding Variational Bayes" and Dalca et al "Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration". Presented by Minh [paper 1][paper 2] [notes] (open notes with jupyter notebook)
21/05/2018
Drysdale et al. "Resting-state connectivity biomarkers define neurophysiological subtypes of depression." Presented by Rajan. [paper][supplementary material]
14/05/2018
Oktay et al. "Attention U-Net: Learning Where to Look for the Pancreas." Presented by Hetong [paper]
07/05/2018
Xia et al. "Linked Dimensions of Psychopathology and Connectivity in Functional Brain Networks. " Presented by Nanbo. [paper] [notes]
23/04/2018
Salehi et al. "An exemplar-based approach to individualized parcellation reveals the need for sex specific functional networks. " Presented by Ruby. [paper]
16/04/2018
"Top-down and bottom-up attentional control." Presentation by Takashi and Gwen
26/3/2018
Moser et al. “Multivariate Associations Among Behavioral, Clinical, and Multimodal Imaging Phenotypes in Patients With Psychosis.” Presented by Valeria. [paper][supplementary]
19/3/2018
Vidaurre et al. “Brain network dynamics are hierarchically organized in time.” Presented by Minh. [paper]
12/3/2018
Hong et al. "Multidimensional Neuroanatomical Subtyping of Autism Spectrum Disorder." Presented by Siyi. [paper]
26/1/2018
Saygin et al. "Anatomical connectivity patterns predict face selectivity in the fusiform gyrus." Presented by Jianxiao. [paper] [supplementary paper]
14/1/2018
Wierstra et al. " Natural Evolution Strategies ", Presented by Jing wei [paper] [notes]
16/1/2018
Griffanti et al. "Hand classification of fMRI ICA noise components." Presented by Esther Wu and Chris Asplund. [paper]
10/1/2018
"Highly predictive brain signature of individual clinical trajectories in Alzheimer's disease." Talk by Angela Tam.
21/11/2017
Geerligs et al. "Challenges in measuring individual differences in functional connectivity using fMRI: The case of healthy aging." Presented by Csaba [paper]
7/11/2017
Costa et al. "Searching Multi-regression Dynamic Models of Resting-State fMRI Networks Using Integer Programming." Presented by Dragana [paper][notes]
17/10/2017
Hassabis et al. "Neuroscience-Inspired Artificial Intelligence." Presented by He Tong [paper]
4/10/2017
"Neuroadaptive Bayesian optimization- Implications for the Cognitive Sciences" Talk by Dr. Romy Lorenz of Imperial College London.
26/9/2017
Zeighami et al., "A clinical-anatomical signature of Parkinson's Disease identified with partial least squares and magnetic resonance imaging." Presented by Nanbo. [paper]
19/9/2017
"Understanding the person, Improving Psychotherapy: Preventing Relapse by targetting Emotion Modulation in PsychoTherapy (PRE-EMPT)". Presented by Geoffrey Tan. [paper 1][paper 2]
12/2/2017
Lock et al., "Joint and Individual Variation Explained (JIVE) for Integrated Analysis of Multiple Data Types." Presented by Rajan. [paper]
5/9/2017
Gordon et al., "Precision Functional Mapping of Individual Human Brains." Presented by Ruby Kong. [paper]
28/08/2017
"Characterizing Modulatory Interactions in the Resting Brain." Talk by Prof. Bharat Biswal (New Jersey Institute of Technology)
24/08/2017
"What do we need to improve reproducibility and efficiency in brain imaging studies?" Talk by Prof. JB Poline (McGill)
"The Future of fMRI in Cognitive Neuroscience." Talk by Prof. Russell Poldrack (Stanford)
15/08/2017
Parisot et al. "Spectral Graph Convolutions for Population-based Disease Prediction", and Ktena et al. " Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks", Presented by He Tong. [notes] [paper1] [notes1] [paper2] [notes2]
08/08/2017
Kawahara et al., "BrainNetCNN: Convolutional neural networks for brain networks; towards predicting neurodevelopment ", Presented by Minh Nguyen. [paper]
01/08/2017
Manning et al., "A neural signature of contextually mediated intentional forgetting ", Presented by Stevia Ng. [paper]
25/07/2017
Ge et al., "Multidimensional heritability analysis of neuroanatomical shape ", Presented by Jingwei Li. [paper][notes]
20/06/2017
Ecker et al., "Neuroimaging in autism-- from basic science to translational research ". Presented by Caroline Wong Kai Yun. [Paper]
30/05/2017
Latouche et al., "Variational Bayesian inference and complexity control for stochastic block models". Presented by Dragana Palvlovic. [Paper]
16/05/2017
Tong et al., "Studying the spatial distribution of physiological effects on BOLD signals using ultrafast fMRI". Presented by Rajan Kashyap. [Paper]
02/05/2017
Mumford et al., "Orthogonalization of Regressors in fMRI Models". Presented by Gia. [Paper]
25/04/2017
Chang et al., "Tracking brain arousal fluctuations with fMRI, PNAS 2015". Presented by Raphael. [Paper]
04/04/2017
Sarraf et al., "DeepAD: Alzheimer's Disease Classification via Deep Convolutional Neural Networks using MRI and fMRI". Presented by Nanbo. [paper]
14/03/2017
Power et al.,"Source and implications of whole-brain fMRI signals in humans". Presented by Csaba. [paper]
07/03/2017
Discussion on the topic of "Preprocessing Pipeline " with Helen's group. Presented by Ruby and Jingwei.
07/02/2017
Goodfellow et al.."Generative Adversarial Nets" on the topic of deep learning". Presented by He Tong.[paper]
17/01/2017
Cole et al.,"Activity flow over resting-state networks shapes cognitive task activations". Presented by Ruby Kong. [paper]
10/01/2017
Kingma et al., "A method for stochastic optimization". Presented by Minh Nguyen. [paper]
03/01/2017
Hindriks et al., "Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?". Prensented by Wang Chenhao (PhD student from Helen Zhou's Group). [paper].
15/11/2016
Fair et al.,"Distinct neuropsychological subgroups in typically developing youth inform heterogeneity in children with ADHD".. Presented by Nanbo Sun. [paper].
08/11/2016
Blei et al., "Automatic Variational Inference in Stan". Presented by Gia [paper].
25/10/2016
Dismann et al., "selecting and estimating regular vine copulae and application to financial returns" [paper]. Presented by Dragana Palvlovic.
18/10/2016
Wager et al., "An fMRI-Based Neurologic Signature of Physical Pain". Presented by Ivan Teng po-Wen.[paper] [Slides]
11/10/2016
Dismann et al., "selecting and estimating regular vine copulae and application to financial returns" [paper]. Presented by Dragana Palvlovic.
27/09/2016
Eklund et al., "Cluster failure:Why fMRI inferences for spatial extent have inflated false-positive rates". [PDF]. Presented by Jingwei Li
20/09/2016
Murphy et al., "Latent linear models" of Kevin Murphy's "Machine Learning A Probabilistic Perspective". Presented by Nanbo Sun.
13/09/2016
Murphy et al., "Latent linear models" of Kevin Murphy's "Machine Learning A Probabilistic Perspective". Presented by Nanbo Sun.
30/08/2016
Deco et al.,"The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core" . Presented by Wang Peng.[paper]
23/08/2016
Haufe et al., "On the interpretation of weight vectors of linear models in multivariate neuroimaging", Presented by Jingwei Li. [pdf]
15/08/2016
"Behavioral correlates and potential predictors/markers of ADHD." Presented by Obana Takashi.
05/08/2016
Gu et al., 2015. "Controllability of structural brain networks." Nature Communications. Presented by Raphael Liegeois.[controllability.pdf]
22/07/2016
Interesting papers from PRNI 2016. Presented by Ngo Hoang Gia.
15/07/2016
Guntupalli et al. "A Model of Representational Spaces in Human Cortex", Oxford University Press 2016. Presented by Ngo Hoang Gia.
17/06/2016
"Local Cortical Circuit Model: Modeling cortical excitability in Alzheimer's disease", Presented by Peng Wang, [presentation]
10/06/2016
OHBM rehearsal (Nanbo presented Xiuming's work). PRNI talk rehearsal (Gia).
27/05/2016
Christine Ecker et al. “The neuroanatomy of autism spectrum disorder: An overview of structural neuroimaging findings and their translatability to the clinical setting.” Autism, 2016. Presented by Nanbo Sun.
29/04/2016
Tavor et al. “Task-free MRI predicts individual differences in brain activity during task performance.” Science, 2016. Presentated by Dragana Pavlovic.
15/04/2016
CogNeuro Journal Club. Marco Taubert et al. “Long-term effects of motor training on resting-state networks and underlying brain structure.” NeuroImage, 2011. Presented by Alex Schaefer.
01/04/2016
1st ISMRM rehearsal. Ruby presented hers and Alex's work.
18/03/2016
CogNeuro Journal Club. Adriana Banozic presented KAO project.
11/03/2016
Zanghi et al. “Clustering based on Random Graph Model embedding vertex features.” Pattern Recognition Letters, 2010. Presented by Dragana Pavlovic.
05/03/2016
Teh et al. “Hierarchical Dirichlet Processes.” Journal of the american statistical association, 2012. Presented by Ngo Hoang Gia.
26/02/2016
Chen et al. “Robust Nonrigid Registration by Convex Optimization.” ICCV, 2015. Presented by Yuanhao Gong.
05/02/2016
Gordon et al. “Individual Variability of the System-Level Organization of the Human Brain.” Cerebral Cortex, 2015. Presented by Ruby Kong.
05/01/2016
Power et al. “Methods to detect, characterize, and remove motion artifact in resting state fMRI.” Neuroimage, 2014. Presented by Jingwei Li.
29/12/2015
Leonardi et al. “On spurious and real fluctuations of dynamic functional connectivity during rest.” Neuroimage, 2015. Presented by Raphael Liegeois. [notes.pdf]
22/12/2015
Hoffman et al. “Online learning for latent dirichlet allocation.” advances in neural information processing systems. 2010. Presented by Nanbo Sun. [sngd_derivation.pdf]
01/12/2015
Finn et al. “Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity.” Nature neuroscience, 2015. Presented by Alex Schaefer.
11/24/2015
Laumann et al. "Functional system and areal organization of a highly sampled individual human brain", Neuron, 2015. Presented by Jingwei Li.
03/11/2015
Misic et al. “Cooperative and Competitive Spreading Dynamics on the Human Connectome” Cell Neuron, 2015. Presented by Thomas Yeo.
27/10/2015
Smith et al. “A positive-negative mode of population covariation links brain connectivity, demographics and behavior” Nat Neurosci, 2015. Presented by Xiuming Zhang.
20/10/2015
Anish et al. “Lag threads organize the brain's intrinsic activity” PANS, 2015. Presented by Yuanhao Gong.
13/10/2015
Lam, et al. "Clinical, imaging, and pathological heterogeneity of the Alzheimer's disease syndrome" Alzheimers Res Ther, 2013. Presented by Nanbo Sun. [paper]
06/10/2015
Lempitsky et al. "Fusion moves for Markov random field optimization.", IEEE, 2010. Presented by Ruby Kong.
15/09/2015
Robinson et al. “Multimodal surface matching: fast and generalisable cortical registration using discrete optimisation” in Information Processing in Medical Imaging,2013. Presented by Alex Schaefer.
01/09/2015
Niaf et al. “Kernel-Based Learning from Both Qualitative and Quantitative Labels: Application to Prostate Cancer Diagnosis Based on Multiparametric MR Imaging. Presented by Sharmili Roy. [class06-svm.pdf] [tip2014_eniaf.pdf]
01/09/2015
Niaf et al. “Kernel-Based Learning from Both Qualitative and Quantitative Labels: Application to Prostate Cancer Diagnosis Based on Multiparametric MR Imaging. Presented by Sharmili Roy. [class06-svm.pdf] [tip2014_eniaf.pdf]
19/08/2015
Bernal-Rusiel et al. “Statistical analysis of longitudinal neuroimage data with Linear Mixed Effects models”, NeuroImage, 2013. Presented by Xiuming Zhang.[reml_derivation.pdf] [bernal-rusiel2012statistical.pdf] [harville1974bayesian.pdf] [verbeke_lme.pdf]
05/08/2015
Berclaz et al. “Multiple Object Tracking using K-Shortest Paths Optimization”, IEEE Transactions on PAMI, 2011. Presented by Anirban Chakraborty.
15/07/2015
Xu et al. “Structure Extraction from Texture via Relative Total Variation”, ACM Transactions on Graphic, 2012. Presented by Yuanhao Gong.
01/07/2015
Batra et al. “Diverse M-Best Solutions in Markov Random Fields”, ECCV, 2012. Presented by Jiesen Wang.
03/06/2015
Ngo et al. “Fully Automated Non-rigid Segmentation with Distance Regularized Level Set Evolution Initialized and Constrained by Deep-structured Inference”, CVPR, 2014. Presented by Mahsa Paknezhad.
20/05/2015
Harrison et al. “Large-scale probabilistic functional modes from resting state fMRI”, NeuroImage 2015. Presented by Ruby Kong.
06/05/2015
Hjelm et al. “Restricted Boltzmann machines for neuroimaging: An application inidentifying intrinsic networks”, NeuroImage 2014. Presented by Alex Schaefer.
08/04/2015
Grabner et al. “Tracking the invisible: Learning where the object might be”, CVPR 2010. Presented by Anirban Chakraborty.
25/03/2015
Wang et al. “Geodesis patch-based segmentation.” in MICCAI, 2014. Presented by Stephanie Marchesseau Le Prado
18/02/2015
Ordonez et al. “From Large Scale Image Categorization to Entry-Level Categories.” in ICCV, 2013. Presented by Sharmili Roy
21/01/2015
Teh et al. “A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation.” in Advances in neural information processing systems, 2006. Presented by Thomas Yeo [lda_collapsed_variational.pdf]
10/12/2014
Iglesias et al. “An algorithm for optimal fusion of atlases with different labeling protocols.” in Neuroimage, 2014. Presented by Ruby Kong
26/11/2014
Komodakis et al. “Approximate labeling via graph cuts based on linear programming.” in PAMI, 2007.Presented by Alex Schaefer
29/10/2014
Zhao et al. “Online Detection of Unusual Events in Videos via Dynamic Sparse Coding.” in CVPR, 2011.Presented by Anirban Chakraborty
15/10/2014
Jaakkola et al. “Exploiting generative models in discriminative classifiers.” in NIPS, 1999.Presented by Jiesen Wang
01/10/2014
Wang et al. “Markov Random Field modeling, inference & learning in computer vision & image understanding: A survey.” in Computer Vision and Image Understanding, 2013.Presented by Sharmili Roy
17/09/2014
Sabuncu et al. “A generative model for image segmentation based on label fusion.” in Medical Imaging, 2010.Presented by Thomas Yeo
20/08/2014
Bai et al., “A probabilistic patch-based label fusion model for multi-atlas segmentation with registration refinement: application to cardiac MR images.” in Medical Imaging, 2013. Presented by Stephanie Marchesseau Le Prado
23/07/2014
B. Da Mota, “Randomized Parcellation Based Inference”,in Inverse Problem 9, 1993. Presented by Alex Schaefer
18/06/2014
F. Natterer, “Determination of tissue attenuation in emission tomography of optically dense media”, in Inverse Problem 9,1993. Presented by Gabriel Tjio
23/05/2014
S. Julier and J. Uhlmann, “Unscented Filtering and Nonlinear Estimation”, in Proc of IEEE 92(3), 2004. Presented by Stephanie Marchesseau Le Prado,[julier_2004.pdf]
08/05/2014
Belkin et al., “Laplacian Eigenmaps for Dimensionality Reduction and Data Representation”, in J. of Machine Learning Research, 2003. Presented by Kanwal Bhatia,[belkin_laplacian_2003.pdf]
24/04/2014
D. Blei et al., “Latent Dirichlet Allocation”, in J. of Machine Learning Research, 2003. Presented by Thomas Yeo,blei2003_latentdirichletallocation.pdf
10/04/2014
Shepp and Vardi, “Maximum likelihood reconstruction for emission tomography”, in TMI, 1982. Presented by Ben Thomas,[shepp_vardi_1982.pdf]
27/02/2014
(continuation) K. Nigam et al., “Text classification from labeled and unlabeled documents using EM”, in Machine Learning, 2000. Presented by Emilie Niaf, [nigam2000_textclassificationfromlabeledandunlabeledusingem.pdf]
20/02/2014
K. Nigam et al., “Text classification from labeled and unlabeled documents using EM”, in Machine Learning, 2000. Presented by Emilie Niaf,[nigam2000_textclassificationfromlabeledandunlabeledusingem.pdf]
06/02/2013
K. Kavukcuoglu, “Learning Convolutional Feature Hierarchies for Visual Recognition”,in NIPS, 2010. Presented by Gabriel Tjio.[kavukcuoglu2010_learningconvolutionalfeaturehierarchiesforvisualrecognition_nips.pdf]
16/01/2013
Bishop et al. (2006) “Pattern Recognition and Machine learning: Chapter 5 - Neural Networks”. Presented by Ben Thomas
[bishop2006_pattern_recognition_and_machine_learning.pdf]
Following previous meeting, we covered section 5.3 on backpropagation.
19/12/2013
Bishop et al. (2006) “Pattern Recognition and Machine learning: Chapter 5 - Neural Networks”. Presented by Ben Thomas
[bishop2006_pattern_recognition_and_machine_learning.pdf]
We have only covered sections 5.1 and 5.2 of this book chapter at this meeting.
12/12/2013
Raina et al. (2007) “Self-taught Learning: Transfer Learning from Unlabeled Data”. Presented by Emilie Niaf
[raina2007_self-taught_learning_transfer_learning_from_unlabeled_data.pdf]
Additional materialPresenter's notes : [121213_emilie_niaf_notes.pdf]
First author's thesis : [raina_thesis.pdf]
05/12/2013
Hinton et al. (2006) “Reducing the Dimensionality of Data with Neural Networks”. Presented by Thomas Yeo
[hinton2006_science_reducing_the_dimensionality_of_data_with_neural_networks-1.pdf]
Additional materialPresenter's notes : [051213_thomas_yeo_notes.pdf]
Supporting documents : [hinton2006_supplemental.pdf]
18/03/2019
CCA and PLS. Written by Nanbo
25/02/2019
"Novel ways to probe brain function: beyond stationary functional connectivity measurements" Presented by Thomas Bolton
18/02/2019
Lepperod et al. "Inferring causal connectivity from pairwise recordings and optogenetics." [Paper][notes] Presented by Jingwei
18/02/2019
When to Standardize Predictors of Linear Regression. Written by Nanbo.
11/02/2019
"The role of tau neurofibrillary tangles in Alzheimer's disease" and "Gene expression in the hippocampus", Presented by Jacob Vogel.
28/01/2019
"Brain mapping and individual predictions" Presented by Simon Eickhoff.
14/1/2019
Marinescu et al."Quasi-experimental causality in neuroscience and behavioural research" [Paper] Presented by Jingwei
7/1/2019
"Individual variation in brain structure and function in Autism Spectrum Disorders: A subject-level distance-based approach". Presented by Emmanuel Pua.
10/12/2018
Marco et al. "“Why Should I Trust You?” Explaining the Predictions of Any Classifier " [Paper] Presented by Nanbo.
03/12/2018
Padarinath et al. "Inferring single-trial neural population dynamics using sequential auto-encoders" [Paper][Supplementary Material] Presented by HeTong.
26/11/2018
Han et al. "Functional Parcellation of the Cerebral Cortex Across the Human Adult Lifespan" [Paper][Supplementary Material] Presented by Ruby.
29/10/2018
Rajchl et al. "NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation Pipelines" [Paper] Presented by Minh.
22/10/2018
Dickie et al. "Personalized Intrinsic Network Topography Mapping and Functional Connectivity Deficits in Autism Spectrum Disorder" [Paper] [Supplementary Material] Presented by Yang Qing.
15/10/2018
Cordani et al. "Endogenous modulation of human visual cortex activity improves perception at twilight." [Paper] [Supplementary Material] Presented by Csaba.
8/10/2018
Conti et al. "Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents" [paper]. Presented by Xiaolu.
1/10/2018
Becker et al. "Gaussian Process Uncertainty in Age Estimation as a Measure of Brain Abnormality" [paper]. Presented by Jianzhong
17/09/2018
de Lange et al. "Shared vulnerability for connectome alterations across psychiatric and neurological brain disorders" [paper][supplementary material]. Presented by Valeria
10/09/2018
Rosefeld et al. "The Elephant in the Room" [paper]. Presented by Hetong
03/09/2018
Greene et al. "Task-induced brain state manipulation improves prediction of individual traits". [paper][Supplementary material] Presented by Jingwei
20/08/2018
Figurnov et al. "Implicit Reparameterization Gradients". [paper][notes] Presented by Nanbo
13/08/2018
Elliot et al. "A Connectome-wide Functional Signature of Transdiagnostic Risk for Mental Illness." [paper] Presented by Valeria.
06/08/2018
Nayebi et al. "Task-Driven Convolutional Recurrent Models of the Visual System." [paper] Presented by Kshitij Dwivedi.
30/07/2018
Yu et al. "Statistical harmonization corrects site effects in functional connectivity measurements from multi-site fMRI data."
[paper][notes]. Presented by Jingwei.
23/07/2018
Liu et al. "Subcortical evidence for a contribution of arousal to fMRI studies of brain activity" [paper 1] and Turchi et al. "The Basal Forebrain Regulates Global Resting-State fMRI Fluctuations" [paper 2].. Presented by Csaba.
16/07/2018
Chhatwal et al. "Preferential Degradation of cognitive networks differentiates Alzheimer's disease from ageing" [paper]. Presented by Nanbo.
09/07/2018
Dalca et al. "Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation" [paper][notes]. Presented by Jianxiao.
02/07/2018
Kingma et al "Auto-Encoding Variational Bayes" and Dalca et al "Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration". Presented by Minh [paper 1][paper 2] [notes] (open notes with jupyter notebook)
21/05/2018
Drysdale et al. "Resting-state connectivity biomarkers define neurophysiological subtypes of depression." Presented by Rajan. [paper][supplementary material]
14/05/2018
Oktay et al. "Attention U-Net: Learning Where to Look for the Pancreas." Presented by Hetong [paper]
07/05/2018
Xia et al. "Linked Dimensions of Psychopathology and Connectivity in Functional Brain Networks. " Presented by Nanbo. [paper] [notes]
23/04/2018
Salehi et al. "An exemplar-based approach to individualized parcellation reveals the need for sex specific functional networks. " Presented by Ruby. [paper]
16/04/2018
"Top-down and bottom-up attentional control." Presentation by Takashi and Gwen
26/3/2018
Moser et al. “Multivariate Associations Among Behavioral, Clinical, and Multimodal Imaging Phenotypes in Patients With Psychosis.” Presented by Valeria. [paper][supplementary]
19/3/2018
Vidaurre et al. “Brain network dynamics are hierarchically organized in time.” Presented by Minh. [paper]
12/3/2018
Hong et al. "Multidimensional Neuroanatomical Subtyping of Autism Spectrum Disorder." Presented by Siyi. [paper]
26/1/2018
Saygin et al. "Anatomical connectivity patterns predict face selectivity in the fusiform gyrus." Presented by Jianxiao. [paper] [supplementary paper]
14/1/2018
Wierstra et al. " Natural Evolution Strategies ", Presented by Jing wei [paper] [notes]
16/1/2018
Griffanti et al. "Hand classification of fMRI ICA noise components." Presented by Esther Wu and Chris Asplund. [paper]
10/1/2018
"Highly predictive brain signature of individual clinical trajectories in Alzheimer's disease." Talk by Angela Tam.
21/11/2017
Geerligs et al. "Challenges in measuring individual differences in functional connectivity using fMRI: The case of healthy aging." Presented by Csaba [paper]
7/11/2017
Costa et al. "Searching Multi-regression Dynamic Models of Resting-State fMRI Networks Using Integer Programming." Presented by Dragana [paper][notes]
17/10/2017
Hassabis et al. "Neuroscience-Inspired Artificial Intelligence." Presented by He Tong [paper]
4/10/2017
"Neuroadaptive Bayesian optimization- Implications for the Cognitive Sciences" Talk by Dr. Romy Lorenz of Imperial College London.
26/9/2017
Zeighami et al., "A clinical-anatomical signature of Parkinson's Disease identified with partial least squares and magnetic resonance imaging." Presented by Nanbo. [paper]
19/9/2017
"Understanding the person, Improving Psychotherapy: Preventing Relapse by targetting Emotion Modulation in PsychoTherapy (PRE-EMPT)". Presented by Geoffrey Tan. [paper 1][paper 2]
12/2/2017
Lock et al., "Joint and Individual Variation Explained (JIVE) for Integrated Analysis of Multiple Data Types." Presented by Rajan. [paper]
5/9/2017
Gordon et al., "Precision Functional Mapping of Individual Human Brains." Presented by Ruby Kong. [paper]
28/08/2017
"Characterizing Modulatory Interactions in the Resting Brain." Talk by Prof. Bharat Biswal (New Jersey Institute of Technology)
24/08/2017
"What do we need to improve reproducibility and efficiency in brain imaging studies?" Talk by Prof. JB Poline (McGill)
"The Future of fMRI in Cognitive Neuroscience." Talk by Prof. Russell Poldrack (Stanford)
15/08/2017
Parisot et al. "Spectral Graph Convolutions for Population-based Disease Prediction", and Ktena et al. " Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks", Presented by He Tong. [notes] [paper1] [notes1] [paper2] [notes2]
08/08/2017
Kawahara et al., "BrainNetCNN: Convolutional neural networks for brain networks; towards predicting neurodevelopment ", Presented by Minh Nguyen. [paper]
01/08/2017
Manning et al., "A neural signature of contextually mediated intentional forgetting ", Presented by Stevia Ng. [paper]
25/07/2017
Ge et al., "Multidimensional heritability analysis of neuroanatomical shape ", Presented by Jingwei Li. [paper][notes]
20/06/2017
Ecker et al., "Neuroimaging in autism-- from basic science to translational research ". Presented by Caroline Wong Kai Yun. [Paper]
30/05/2017
Latouche et al., "Variational Bayesian inference and complexity control for stochastic block models". Presented by Dragana Palvlovic. [Paper]
16/05/2017
Tong et al., "Studying the spatial distribution of physiological effects on BOLD signals using ultrafast fMRI". Presented by Rajan Kashyap. [Paper]
02/05/2017
Mumford et al., "Orthogonalization of Regressors in fMRI Models". Presented by Gia. [Paper]
25/04/2017
Chang et al., "Tracking brain arousal fluctuations with fMRI, PNAS 2015". Presented by Raphael. [Paper]
04/04/2017
Sarraf et al., "DeepAD: Alzheimer's Disease Classification via Deep Convolutional Neural Networks using MRI and fMRI". Presented by Nanbo. [paper]
14/03/2017
Power et al.,"Source and implications of whole-brain fMRI signals in humans". Presented by Csaba. [paper]
07/03/2017
Discussion on the topic of "Preprocessing Pipeline " with Helen's group. Presented by Ruby and Jingwei.
07/02/2017
Goodfellow et al.."Generative Adversarial Nets" on the topic of deep learning". Presented by He Tong.[paper]
17/01/2017
Cole et al.,"Activity flow over resting-state networks shapes cognitive task activations". Presented by Ruby Kong. [paper]
10/01/2017
Kingma et al., "A method for stochastic optimization". Presented by Minh Nguyen. [paper]
03/01/2017
Hindriks et al., "Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?". Prensented by Wang Chenhao (PhD student from Helen Zhou's Group). [paper].
15/11/2016
Fair et al.,"Distinct neuropsychological subgroups in typically developing youth inform heterogeneity in children with ADHD".. Presented by Nanbo Sun. [paper].
08/11/2016
Blei et al., "Automatic Variational Inference in Stan". Presented by Gia [paper].
25/10/2016
Dismann et al., "selecting and estimating regular vine copulae and application to financial returns" [paper]. Presented by Dragana Palvlovic.
18/10/2016
Wager et al., "An fMRI-Based Neurologic Signature of Physical Pain". Presented by Ivan Teng po-Wen.[paper] [Slides]
11/10/2016
Dismann et al., "selecting and estimating regular vine copulae and application to financial returns" [paper]. Presented by Dragana Palvlovic.
27/09/2016
Eklund et al., "Cluster failure:Why fMRI inferences for spatial extent have inflated false-positive rates". [PDF]. Presented by Jingwei Li
20/09/2016
Murphy et al., "Latent linear models" of Kevin Murphy's "Machine Learning A Probabilistic Perspective". Presented by Nanbo Sun.
13/09/2016
Murphy et al., "Latent linear models" of Kevin Murphy's "Machine Learning A Probabilistic Perspective". Presented by Nanbo Sun.
30/08/2016
Deco et al.,"The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core" . Presented by Wang Peng.[paper]
23/08/2016
Haufe et al., "On the interpretation of weight vectors of linear models in multivariate neuroimaging", Presented by Jingwei Li. [pdf]
15/08/2016
"Behavioral correlates and potential predictors/markers of ADHD." Presented by Obana Takashi.
05/08/2016
Gu et al., 2015. "Controllability of structural brain networks." Nature Communications. Presented by Raphael Liegeois.[controllability.pdf]
22/07/2016
Interesting papers from PRNI 2016. Presented by Ngo Hoang Gia.
15/07/2016
Guntupalli et al. "A Model of Representational Spaces in Human Cortex", Oxford University Press 2016. Presented by Ngo Hoang Gia.
17/06/2016
"Local Cortical Circuit Model: Modeling cortical excitability in Alzheimer's disease", Presented by Peng Wang, [presentation]
10/06/2016
OHBM rehearsal (Nanbo presented Xiuming's work). PRNI talk rehearsal (Gia).
27/05/2016
Christine Ecker et al. “The neuroanatomy of autism spectrum disorder: An overview of structural neuroimaging findings and their translatability to the clinical setting.” Autism, 2016. Presented by Nanbo Sun.
29/04/2016
Tavor et al. “Task-free MRI predicts individual differences in brain activity during task performance.” Science, 2016. Presentated by Dragana Pavlovic.
15/04/2016
CogNeuro Journal Club. Marco Taubert et al. “Long-term effects of motor training on resting-state networks and underlying brain structure.” NeuroImage, 2011. Presented by Alex Schaefer.
01/04/2016
1st ISMRM rehearsal. Ruby presented hers and Alex's work.
18/03/2016
CogNeuro Journal Club. Adriana Banozic presented KAO project.
11/03/2016
Zanghi et al. “Clustering based on Random Graph Model embedding vertex features.” Pattern Recognition Letters, 2010. Presented by Dragana Pavlovic.
05/03/2016
Teh et al. “Hierarchical Dirichlet Processes.” Journal of the american statistical association, 2012. Presented by Ngo Hoang Gia.
26/02/2016
Chen et al. “Robust Nonrigid Registration by Convex Optimization.” ICCV, 2015. Presented by Yuanhao Gong.
05/02/2016
Gordon et al. “Individual Variability of the System-Level Organization of the Human Brain.” Cerebral Cortex, 2015. Presented by Ruby Kong.
05/01/2016
Power et al. “Methods to detect, characterize, and remove motion artifact in resting state fMRI.” Neuroimage, 2014. Presented by Jingwei Li.
29/12/2015
Leonardi et al. “On spurious and real fluctuations of dynamic functional connectivity during rest.” Neuroimage, 2015. Presented by Raphael Liegeois. [notes.pdf]
22/12/2015
Hoffman et al. “Online learning for latent dirichlet allocation.” advances in neural information processing systems. 2010. Presented by Nanbo Sun. [sngd_derivation.pdf]
01/12/2015
Finn et al. “Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity.” Nature neuroscience, 2015. Presented by Alex Schaefer.
11/24/2015
Laumann et al. "Functional system and areal organization of a highly sampled individual human brain", Neuron, 2015. Presented by Jingwei Li.
03/11/2015
Misic et al. “Cooperative and Competitive Spreading Dynamics on the Human Connectome” Cell Neuron, 2015. Presented by Thomas Yeo.
27/10/2015
Smith et al. “A positive-negative mode of population covariation links brain connectivity, demographics and behavior” Nat Neurosci, 2015. Presented by Xiuming Zhang.
20/10/2015
Anish et al. “Lag threads organize the brain's intrinsic activity” PANS, 2015. Presented by Yuanhao Gong.
13/10/2015
Lam, et al. "Clinical, imaging, and pathological heterogeneity of the Alzheimer's disease syndrome" Alzheimers Res Ther, 2013. Presented by Nanbo Sun. [paper]
06/10/2015
Lempitsky et al. "Fusion moves for Markov random field optimization.", IEEE, 2010. Presented by Ruby Kong.
15/09/2015
Robinson et al. “Multimodal surface matching: fast and generalisable cortical registration using discrete optimisation” in Information Processing in Medical Imaging,2013. Presented by Alex Schaefer.
01/09/2015
Niaf et al. “Kernel-Based Learning from Both Qualitative and Quantitative Labels: Application to Prostate Cancer Diagnosis Based on Multiparametric MR Imaging. Presented by Sharmili Roy. [class06-svm.pdf] [tip2014_eniaf.pdf]
01/09/2015
Niaf et al. “Kernel-Based Learning from Both Qualitative and Quantitative Labels: Application to Prostate Cancer Diagnosis Based on Multiparametric MR Imaging. Presented by Sharmili Roy. [class06-svm.pdf] [tip2014_eniaf.pdf]
19/08/2015
Bernal-Rusiel et al. “Statistical analysis of longitudinal neuroimage data with Linear Mixed Effects models”, NeuroImage, 2013. Presented by Xiuming Zhang.[reml_derivation.pdf] [bernal-rusiel2012statistical.pdf] [harville1974bayesian.pdf] [verbeke_lme.pdf]
05/08/2015
Berclaz et al. “Multiple Object Tracking using K-Shortest Paths Optimization”, IEEE Transactions on PAMI, 2011. Presented by Anirban Chakraborty.
15/07/2015
Xu et al. “Structure Extraction from Texture via Relative Total Variation”, ACM Transactions on Graphic, 2012. Presented by Yuanhao Gong.
01/07/2015
Batra et al. “Diverse M-Best Solutions in Markov Random Fields”, ECCV, 2012. Presented by Jiesen Wang.
03/06/2015
Ngo et al. “Fully Automated Non-rigid Segmentation with Distance Regularized Level Set Evolution Initialized and Constrained by Deep-structured Inference”, CVPR, 2014. Presented by Mahsa Paknezhad.
20/05/2015
Harrison et al. “Large-scale probabilistic functional modes from resting state fMRI”, NeuroImage 2015. Presented by Ruby Kong.
06/05/2015
Hjelm et al. “Restricted Boltzmann machines for neuroimaging: An application inidentifying intrinsic networks”, NeuroImage 2014. Presented by Alex Schaefer.
08/04/2015
Grabner et al. “Tracking the invisible: Learning where the object might be”, CVPR 2010. Presented by Anirban Chakraborty.
25/03/2015
Wang et al. “Geodesis patch-based segmentation.” in MICCAI, 2014. Presented by Stephanie Marchesseau Le Prado
18/02/2015
Ordonez et al. “From Large Scale Image Categorization to Entry-Level Categories.” in ICCV, 2013. Presented by Sharmili Roy
21/01/2015
Teh et al. “A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation.” in Advances in neural information processing systems, 2006. Presented by Thomas Yeo [lda_collapsed_variational.pdf]
10/12/2014
Iglesias et al. “An algorithm for optimal fusion of atlases with different labeling protocols.” in Neuroimage, 2014. Presented by Ruby Kong
26/11/2014
Komodakis et al. “Approximate labeling via graph cuts based on linear programming.” in PAMI, 2007.Presented by Alex Schaefer
29/10/2014
Zhao et al. “Online Detection of Unusual Events in Videos via Dynamic Sparse Coding.” in CVPR, 2011.Presented by Anirban Chakraborty
15/10/2014
Jaakkola et al. “Exploiting generative models in discriminative classifiers.” in NIPS, 1999.Presented by Jiesen Wang
01/10/2014
Wang et al. “Markov Random Field modeling, inference & learning in computer vision & image understanding: A survey.” in Computer Vision and Image Understanding, 2013.Presented by Sharmili Roy
17/09/2014
Sabuncu et al. “A generative model for image segmentation based on label fusion.” in Medical Imaging, 2010.Presented by Thomas Yeo
20/08/2014
Bai et al., “A probabilistic patch-based label fusion model for multi-atlas segmentation with registration refinement: application to cardiac MR images.” in Medical Imaging, 2013. Presented by Stephanie Marchesseau Le Prado
23/07/2014
B. Da Mota, “Randomized Parcellation Based Inference”,in Inverse Problem 9, 1993. Presented by Alex Schaefer
18/06/2014
F. Natterer, “Determination of tissue attenuation in emission tomography of optically dense media”, in Inverse Problem 9,1993. Presented by Gabriel Tjio
23/05/2014
S. Julier and J. Uhlmann, “Unscented Filtering and Nonlinear Estimation”, in Proc of IEEE 92(3), 2004. Presented by Stephanie Marchesseau Le Prado,[julier_2004.pdf]
08/05/2014
Belkin et al., “Laplacian Eigenmaps for Dimensionality Reduction and Data Representation”, in J. of Machine Learning Research, 2003. Presented by Kanwal Bhatia,[belkin_laplacian_2003.pdf]
24/04/2014
D. Blei et al., “Latent Dirichlet Allocation”, in J. of Machine Learning Research, 2003. Presented by Thomas Yeo,blei2003_latentdirichletallocation.pdf
10/04/2014
Shepp and Vardi, “Maximum likelihood reconstruction for emission tomography”, in TMI, 1982. Presented by Ben Thomas,[shepp_vardi_1982.pdf]
27/02/2014
(continuation) K. Nigam et al., “Text classification from labeled and unlabeled documents using EM”, in Machine Learning, 2000. Presented by Emilie Niaf, [nigam2000_textclassificationfromlabeledandunlabeledusingem.pdf]
20/02/2014
K. Nigam et al., “Text classification from labeled and unlabeled documents using EM”, in Machine Learning, 2000. Presented by Emilie Niaf,[nigam2000_textclassificationfromlabeledandunlabeledusingem.pdf]
06/02/2013
K. Kavukcuoglu, “Learning Convolutional Feature Hierarchies for Visual Recognition”,in NIPS, 2010. Presented by Gabriel Tjio.[kavukcuoglu2010_learningconvolutionalfeaturehierarchiesforvisualrecognition_nips.pdf]
16/01/2013
Bishop et al. (2006) “Pattern Recognition and Machine learning: Chapter 5 - Neural Networks”. Presented by Ben Thomas
[bishop2006_pattern_recognition_and_machine_learning.pdf]
Following previous meeting, we covered section 5.3 on backpropagation.
19/12/2013
Bishop et al. (2006) “Pattern Recognition and Machine learning: Chapter 5 - Neural Networks”. Presented by Ben Thomas
[bishop2006_pattern_recognition_and_machine_learning.pdf]
We have only covered sections 5.1 and 5.2 of this book chapter at this meeting.
12/12/2013
Raina et al. (2007) “Self-taught Learning: Transfer Learning from Unlabeled Data”. Presented by Emilie Niaf
[raina2007_self-taught_learning_transfer_learning_from_unlabeled_data.pdf]
Additional materialPresenter's notes : [121213_emilie_niaf_notes.pdf]
First author's thesis : [raina_thesis.pdf]
05/12/2013
Hinton et al. (2006) “Reducing the Dimensionality of Data with Neural Networks”. Presented by Thomas Yeo
[hinton2006_science_reducing_the_dimensionality_of_data_with_neural_networks-1.pdf]
Additional materialPresenter's notes : [051213_thomas_yeo_notes.pdf]
Supporting documents : [hinton2006_supplemental.pdf]