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ORCIDFrontiers in Neuroinformatics, Volume 17
Volume 17, March 2023
- Jevri Hanna, Agnes Flöel:
An accessible and versatile deep learning-based sleep stage classifier. - Nicolas Diekmann, Sandhiya Vijayabaskaran, Xiangshuai Zeng, David Kappel, Matheus Chaves Menezes
, Sen Cheng:
CoBeL-RL: A neuroscience-oriented simulation framework for complex behavior and learning. - Julian Fuhrer, Kyrre Glette, Anaïs Llorens, Tor Endestad, Anne-Kristin Solbakk, Alejandro O. Blenkmann:
Quantifying evoked responses through information-theoretical measures. - Laura Alejandra Martínez-Tejada, Yuji Imakura, Ying-Tung Cho, Ludovico Minati, Natsue Yoshimura:
Differential processing of intrinsic vs. extrinsic coordinates in wrist movement: connectivity and chronometry perspectives. - Nazek Queder, Vivian B. Tien, Sanu Ann Abraham, Sebastian Georg Wenzel Urchs, Karl G. Helmer, Derek Chaplin, Theo G. M. van Erp, David N. Kennedy, Jean-Baptiste Poline, Jeffrey S. Grethe, Satrajit S. Ghosh, David B. Keator:
NIDM-Terms: community-based terminology management for improved neuroimaging dataset descriptions and query. - Karissa Chan, Pejman Jahbedar Maralani, Alan R. Moody, April Khademi:
Synthesis of diffusion-weighted MRI scalar maps from FLAIR volumes using generative adversarial networks. - Liya Ding, Xuan Zhao, Shuxia Guo, Yufeng Liu, Lijuan Liu, Yimin Wang, Hanchuan Peng:
SNAP: a structure-based neuron morphology reconstruction automatic pruning pipeline. - Sabela Fernández-Rodicio, Gonzalo Ferro-Costas, Ana Sampedro-Viana, Marcos Bazarra-Barreiros, Alan Ferreiros, Esteban López-Arias, María Pérez-Mato, Alberto Ouro, José M. Pumar, Antonio J. Mosqueira, María Luz Alonso-Alonso, José Castillo, Pablo Hervella, Ramón Iglesias-Rey:
Perfusion-weighted software written in Python for DSC-MRI analysis. - Xiuzhi Zhao, Lei Liu, Ali Asghar Heidari, Yi Chen, Benedict Jun Ma, Huiling Chen, Shichao Quan:
An enhanced ant colony optimizer with Cauchy-Gaussian fusion and novel movement strategy for multi-threshold COVID-19 X-ray image segmentation. - Almira M. Kustubayeva, Erik B. Nelson, Michael L. Smith, Jane B. Allendorfer, James C. Eliassen:
Corrigendum: Functional MRI study of feedback-based reinforcement learning in depression. - Ruyi Dong, Junjie Du, Yanan Liu, Ali Asghar Heidari, Huiling Chen:
An enhanced deep deterministic policy gradient algorithm for intelligent control of robotic arms. - Chun-Yuan Shin, Yi-Ping Chao, Li-Wei Kuo, Yi-Peng Eve Chang, Jun-Cheng Weng:
Improving the brain image resolution of generalized q-sampling MRI revealed by a three-dimensional CNN-based method. - Md. Abdullah-Al Kaiser, Gourav Datta, Zixu Wang, Ajey P. Jacob, Peter A. Beerel, Akhilesh R. Jaiswal:
Neuromorphic-P2M: processing-in-pixel-in-memory paradigm for neuromorphic image sensors. - Franklin Alvarez Cardinale, Daniel Kipping, Waldo Nogueira:
A computational model to simulate spectral modulation and speech perception experiments of cochlear implant users. - Charles A. Ellis, Mohammad S. Eslampanah Sendi, Rongen Zhang, Darwin A. Carbajal, May D. Wang, Robyn L. Miller, Vince D. Calhoun:
Novel methods for elucidating modality importance in multimodal electrophysiology classifiers. - Vaanathi Sundaresan, Christoph Arthofer, Giovanna Zamboni, Andrew G. Murchison, Robert A. Dineen, Peter M. Rothwell, Dorothee P. Auer, Chaoyue Wang, Karla L. Miller, Benjamin C. Tendler, Fidel Alfaro-Almagro, Stamatios N. Sotiropoulos, Nikola Sprigg, Ludovica Griffanti, Mark Jenkinson:
Automated detection of cerebral microbleeds on MR images using knowledge distillation framework. - Ao Cheng, Jiahao Shi, Lirong Wang, Ruobing Zhang:
Learning the heterogeneous representation of brain's structure from serial SEM images using a masked autoencoder. - Anders J. Asp, Yaswanth Chintaluru, Sydney Hillan, Jose-Luis Poza-Luján:
Targeted neuroplasticity in spatiotemporally patterned invasive neuromodulation therapies for improving clinical outcomes. - José Luis Moreno-Rodríguez, Pedro Larrañaga, Concha Bielza:
NeuroSuites: An online platform for running neuroscience, statistical, and machine learning tools. - Geza Makkai, Istvan M. Abraham, Klaudia Barabas, Soma Godo, David Ernszt, Tamás Kovács, Gergely Kovacs, Szilard Szocs, Tibor Z. Janosi:
Maximum likelihood-based estimation of diffusion coefficient is quick and reliable method for analyzing estradiol actions on surface receptor movements. - Antonio Ricciardi, Francesco Grussu, Baris Kanber, Ferran Prados, Marios C. Yiannakas, Bhavana S. Solanky, Frank Riemer, Xavier Golay, Wallace Brownlee, Olga Ciccarelli, Daniel C. Alexander, Claudia A. M. Gandini Wheeler-Kingshott:
Patterns of inflammation, microstructural alterations, and sodium accumulation define multiple sclerosis subtypes after 15 years from onset. - Scott C. Neu, Karen L. Crawford, Arthur W. Toga:
The image and data archive at the laboratory of neuro imaging. - Tian Fang, Zhihao Zhang, Huijie Zhou, Wanchun Wu, Liqun Zou:
Multiple sclerosis and breast cancer risk: a meta-analysis of observational and Mendelian randomization studies. - Jie Lisa Ji, Jure Demsar, Clara Fonteneau, Zailyn Tamayo, Lining Pan, Aleksij Kraljic, Andraz Matkovic, Nina Purg, Markus Helmer, Shaun Warrington, Anderson M. Winkler, Valerio Zerbi, Timothy S. Coalson, Matthew F. Glasser, Michael P. Harms, Stamatios N. Sotiropoulos, John D. Murray, Alan Anticevic, Grega Repovs:
QuNex - An integrative platform for reproducible neuroimaging analytics. - Adrian Wheeldon, Alexander Serb:
A study on the clusterability of latent representations in image pipelines. - Yimin Wang, Zhi Zhou, Min Liu:
Editorial: Image and geometry analysis for brain informatics. - Toshiyuki Yamane, Akira Hirose, Bert Jan Offrein:
Editorial: Physical neuromorphic computing and its industrial applications. - Parul Jain, Bruce W. Knight, Jonathan D. Victor:
Application of a Hermite-based measure of non-Gaussianity to normality tests and independent component analysis. - James B. Aimone, Omar Awile, Markus Diesmann, James C. Knight, Thomas Nowotny, Felix Schürmann:
Editorial: Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute. - Jing Xie, Rong Chen, Shuvra S. Bhattacharyya:
A parameter-optimization framework for neural decoding systems. - Michael Hopkins, Jakub Fil, Edward George Jones, Steve B. Furber:
BitBrain and Sparse Binary Coincidence (SBC) memories: Fast, robust learning and inference for neuromorphic architectures. - Ricardo A. Najera, Anil K. Mahavadi, Anas U. Khan, Ujwal Boddeti, Victor A. Del Bene, Harrison C. Walker, J. Nicole Bentley:
Alternative patterns of deep brain stimulation in neurologic and neuropsychiatric disorders. - Juan Luis Villarreal-Haro, Remy Gardier, Erick Jorge Canales-Rodríguez, Elda Fischi Gomez, Gabriel Girard, Jean-Philippe Thiran, Jonathan Rafael-Patino:
CACTUS: a computational framework for generating realistic white matter microstructure substrates. - Brendan Behan, Francis Jeanson, Heena Cheema, Derek Eng, Fatema Khimji, Anthony L. Vaccarino, Tom Gee, Susan G. Evans, F. Chris MacPhee, Fan Dong, Shahab Shahnazari, Alana Sparks, Emily Martens, Bianca Lasalandra, Stephen R. Arnott, Stephen C. Strother, Mojib Javadi, Moyez Dharsee, Kenneth R. Evans, Kirk Nylen, Tom Mikkelsen:
FAIR in action: Brain-CODE - A neuroscience data sharing platform to accelerate brain research. - Peng Li, Richard van Wezel, Fei He, Yifan Zhao, Ying Wang:
The role of wrist-worn technology in the management of Parkinson's disease in daily life: A narrative review. - Clement Poiret, Antoine Bouyeure, Sandesh Patil, Antoine Grigis, Edouard Duchesnay, Matthieu Faillot, Michel Bottlaender, Frederic Lemaitre, Marion Noulhiane:
A fast and robust hippocampal subfields segmentation: HSF revealing lifespan volumetric dynamics. - Pawel Glaba, Miroslaw Latka, Malgorzata Krause, Slawomir Kroczka, Marta Kurylo, Magdalena Kaczorowska-Frontczak, Wojciech Walas, Wojciech Jernajczyk, Tadeusz Sebzda, Bruce J. West:
EEG phase synchronization during absence seizures. - Satya S. Sahoo, Matthew D. Turner, Lei Wang, José Luis Ambite, Abhishek M. Appaji, Arcot Rajasekar, Howard Lander, Yue Wang, Jessica A. Turner:
NeuroBridge ontology: computable provenance metadata to give the long tail of neuroimaging data a FAIR chance for secondary use. - Mikhail Bogachev, Aleksandr Sinitca, Konstantin Grigarevichius, Nikita S. Pyko, Asya I. Lyanova, Margarita Tsygankova, Eldar Davletshin, Konstantin Petrov, Tatyana Ageeva, Svetlana A. Pyko, Dmitry I. Kaplun, Airat R. Kayumov, Yana Mukhamedshina:
Video-based marker-free tracking and multi-scale analysis of mouse locomotor activity and behavioral aspects in an open field arena: A perspective approach to the quantification of complex gait disturbances associated with Alzheimer's disease. - Heidi Kleven, Ingrid Reiten, Camilla H. Blixhavn, Ulrike Schlegel, Martin Øvsthus, Eszter A. Papp, Maja A. Puchades, Jan G. Bjaalie, Trygve B. Leergaard, Ingvild Elise Bjerke:
A neuroscientist's guide to using murine brain atlases for efficient analysis and transparent reporting. - Karol Chlasta, Pawel Sochaczewski, Grzegorz M. Wójcik, Izabela Krejtz:
Neural simulation pipeline: Enabling container-based simulations on-premise and in public clouds. - Erik De Schutter:
Efficient simulation of neural development using shared memory parallelization. - Fatos Tünay Yarman Vural, Sharlene D. Newman, Tolga Çukur, Itir Önal Ertugrul:
Editorial: Machine learning methods for human brain imaging. - Xinran Dong:
Editorial: Multi-modality imaging and multi-omics approach to pediatric neurogenetic disorders. - Erratum: Advancing prediction of risk of intraoperative massive blood transfusion in liver transplantation with machine learning models. A multicenter retrospective study.
- Arthur J. Benjamin, Christopher M. Kim, Susu Chen, Stephan Preibisch, Ran Darshan:
A scalable implementation of the recursive least-squares algorithm for training spiking neural networks. - Marcus Kaiser:
Connectomes: from a sparsity of networks to large-scale databases. - Felix Johannes Schmitt, Vahid Rostami, Martin Paul Nawrot:
Efficient parameter calibration and real-time simulation of large-scale spiking neural networks with GeNN and NEST. - Dominik Walther, Johannes Viehweg, Jens Haueisen, Patrick Mäder:
A systematic comparison of deep learning methods for EEG time series analysis. - Dylan Martin, Sunitha Basodi, Sandeep R. Panta, Kelly Rootes-Murdy, Paul Prae, Anand D. Sarwate, Ross Kelly, Javier Tomas Romero, Bradley T. Baker, Harshvardhan Gazula, Henry Jeremy Bockholt, Jessica A. Turner, Nathalia Bianchini Esper, Alexandre R. Franco, Sergey M. Plis, Vince D. Calhoun:
Enhancing collaborative neuroimaging research: introducing COINSTAC Vaults for federated analysis and reproducibility. - Vinicius Rosa Cota, Sérgio Augusto Vieira Cançado, Márcio Flávio Dutra Moraes:
On temporal scale-free non-periodic stimulation and its mechanisms as an infinite improbability drive of the brain's functional connectogram. - Arthur W. Toga, Mukta Phatak, Ioannis Pappas, Simon Thompson, Caitlin P. McHugh, Matthew H. S. Clement, Sarah Bauermeister, Tetsuyuki Maruyama, John Gallacher:
The pursuit of approaches to federate data to accelerate Alzheimer's disease and related dementia research: GAAIN, DPUK, and ADDI. - Umberto A. Gava, Federico D'Agata, Enzo Tartaglione, Riccardo Renzulli, Marco Grangetto, Francesca Bertolino, Ambra Santonocito, Edwin Bennink, Giacomo Vaudano, Andrea Boghi, Mauro Bergui:
Neural network-derived perfusion maps: A model-free approach to computed tomography perfusion in patients with acute ischemic stroke. - Sahaj Anilbhai Patel, Abidin Yildirim:
Non-stationary neural signal to image conversion framework for image-based deep learning algorithms. - Zac Bowen, Gudjon Magnusson, Madeline Diep, Ujjwal Ayyangar, Aleksandr Smirnov, Patrick O. Kanold, Wolfgang Losert:
NeuroWRAP: integrating, validating, and sharing neurodata analysis workflows. - Farzaneh Keyvanfard, Alireza Rahimi Nasab, Abbas Nasiraei-Moghaddam:
Brain subnetworks most sensitive to alterations of functional connectivity in Schizophrenia: a data-driven approach. - Dmitrii I. Kaplun, Mikhail Bogachev, Pawan Kumar Singh, Ram Sarkar:
Editorial: Bringing together data- and knowledge-driven solutions for a better understanding and effective diagnostics of neurological disorders. - Ekaterina Mikhaylets, Alexandra M. Razorenova, Vsevolod Chernyshev, Nikolay Syrov, Lev Yakovlev, Julia Boytsova, Elena Kokurina, Yulia Zhironkina, Svyatoslav Medvedev, Alexander Kaplan:
SDA: a data-driven algorithm that detects functional states applied to the EEG of Guhyasamaja meditation. - Ethan Meyers:
NeuroDecodeR: a package for neural decoding in R. - Nestor Timonidis, Rembrandt Bakker, Mario Rubio-Teves, Carmen Alonso-Martínez, María García-Amado, Francisco Clascá, Paul H. E. Tiesinga:
Translating single-neuron axonal reconstructions into meso-scale connectivity statistics in the mouse somatosensory thalamus. - Qianfang Jia, Xiaofang Wang, Rongyi Zhou, Bingxiang Ma, Fangqin Fei, Hui Han:
Systematic bibliometric and visualized analysis of research hotspots and trends in artificial intelligence in autism spectrum disorder. - Ao Cheng, Jiahao Shi, Lirong Wang, Ruobing Zhang:
Corrigendum: Learning the heterogeneous representation of brain's structure from serial SEM images using a masked autoencoder. - Peter Konradi, Alina Troglio, Ariadna Pérez Garriga, Aarón Pérez Martín, Rainer Röhrig, Barbara Namer, Ekaterina Kutafina:
PyDapsys: an open-source library for accessing electrophysiology data recorded with DAPSYS. - Manuela Pasella, Fabio Pisano, Barbara Cannas, Alessandra Fanni, Eleonora Cocco, Jessica Frau, Francesco Lai, Stefano Mocci, Roberto Littera, Sabrina Rita Giglio:
Decision trees to evaluate the risk of developing multiple sclerosis. - Alex Valcourt Caron, Amir Shmuel, Ziqi Hao, Maxime Descoteaux:
versaFlow: a versatile pipeline for resolution adapted diffusion MRI processing and its application to studying the variability of the PRIME-DE database. - John Larocco, Qudsia Tahmina, Sam Lecian, Jason Moore, Cole Helbig, Surya Gupta:
Evaluation of an English language phoneme-based imagined speech brain computer interface with low-cost electroencephalography. - Tonio Weidler, Rainer Goebel, Mario Senden:
AngoraPy: A Python toolkit for modeling anthropomorphic goal-driven sensorimotor systems. - Wei Jing Fong, Hong Ming Tan, Rishabh Garg, Ai Ling Teh, Hong Pan, Varsha Gupta, Bernadus Krishna, Zou Hui Chen, Natania Yovela Purwanto, Fabian Yap, Kok Hian Tan, Kok Yen Jerry Chan, Shiao-Yng Chan, Nicole Goh, Nikita Rane, Ethel Siew Ee Tan, Yuheng Jiang, Mei Han, Michael J. Meaney, Dennis Wang, Jussi Keppo, Geoffrey Chern-Yee Tan:
Comparing feature selection and machine learning approaches for predicting CYP2D6 methylation from genetic variation. - Justus A. Kromer, Hemant Bokil, Peter A. Tass:
Synaptic network structure shapes cortically evoked spatio-temporal responses of STN and GPe neurons in a computational model. - Darius Valevicius, Natacha Beck, Lars Kasper, Sergiy Boroday, Johanna Bayer, Pierre Rioux, Bryan Caron, Reza Adalat, Alan C. Evans, Najmeh Khalili-Mahani:
Web-based processing of physiological noise in fMRI: addition of the PhysIO toolbox to CBRAIN. - Jingcong Li, Chaohuang Wu, Jiahui Pan, Fei Wang:
Few-shot EEG sleep staging based on transductive prototype optimization network. - Geoffrey Chern-Yee Tan, Ziying Wang, Ethel Siew Ee Tan, Rachel Jing Min Ong, Pei En Ooi, Danan Lee, Nikita Rane, Sheryl Yu Xuan Tey, Si Ying Chua, Nicole Goh, Glynis Weibin Lam, Atlanta Chakraborty, Anthony Khye Loong Yew, Sin Kee Ong, Jin Lin Kee, Xin Ying Lim, Nawal Hashim, Sharon Huixian Lu, Michael Meany, Serenella Tolomeo, Christopher Asplund Lee, Hong Ming Tan, Jussi Keppo:
Transdiagnostic clustering of self-schema from self-referential judgements identifies subtypes of healthy personality and depression. - Mu Qiao:
Factorized discriminant analysis for genetic signatures of neuronal phenotypes. - Xiongtao Zhang, Shuai Dong, Qing Shen, Jie Zhou, Jingjing Min:
Deep extreme learning machine with knowledge augmentation for EEG seizure signal recognition. - Luca Leonardo Bologna, Antonino Tocco, Roberto Smiriglia, Armando Romani, Felix Schürmann, Michele Migliore:
Online interoperable resources for building hippocampal neuron models via the Hippocampus Hub. - Kai M. Bosley, Ziling Luo, Sana Amoozegar, Kit Acedillo, Kanon Nakajima, Luke A. Johnson, Jerrold L. Vitek, Jing Wang:
Effect of subthalamic coordinated reset deep brain stimulation on Parkinsonian gait. - Thomas Tveitstøl, Mats Tveter, Ana S. Pérez T., Christoffer Hatlestad-Hall, Anis Yazidi, Hugo Lewi Hammer, Ira R. J. Hebold Haraldsen:
Introducing Region Based Pooling for handling a varied number of EEG channels for deep learning models. - Xin Liu, Anan Li, Yue Luo, Shengda Bao, Tao Jiang, Xiangning Li, Jing Yuan, Zhao Feng:
An interactive image segmentation method for the anatomical structures of the main olfactory bulb with micro-level resolution. - Aiqi Zhang, Hongye Fu, Junjie Wang, Zhe Chen, Jiajun Fan:
Establishing a nomogram to predict refracture after percutaneous kyphoplasty by logistic regression. - Pedro Guimarães, Pedro Serranho, João V. Duarte, Joana Crisóstomo, Carolina Moreno, Leonor Gomes, Rui Bernardes, Miguel Castelo-Branco:
The hemodynamic response function as a type 2 diabetes biomarker: a data-driven approach. - Jack Reddaway, Peter Eulalio Richardson, Ryan J. Bevan, Jessica Stoneman, Marco Palombo:
Microglial morphometric analysis: so many options, so little consistency. - Lin Tong, Yun Sun, Yueqi Zhu, Hui Luo, Wan Wan, Ying Wu:
Prognostic estimation for acute ischemic stroke patients undergoing mechanical thrombectomy within an extended therapeutic window using an interpretable machine learning model. - Lei Wang, José Luis Ambite, Abhishek M. Appaji, Janine Bijsterbosch, Jérôme Dockès, Rick Herrick, Alexander Kogan, Howard Lander, Daniel S. Marcus, Stephen Moore, Jean-Baptiste Poline, Arcot Rajasekar, Satya S. Sahoo, Matthew D. Turner, Xiaochen Wang, Yue Wang, Jessica A. Turner:
NeuroBridge: a prototype platform for discovery of the long-tail neuroimaging data. - Maryann E. Martone:
The past, present and future of neuroscience data sharing: a perspective on the state of practices and infrastructure for FAIR. - Tung Dang, Alan S. R. Fermin, Maro G. Machizawa:
oFVSD: a Python package of optimized forward variable selection decoder for high-dimensional neuroimaging data. - Damian Eke, George Ogoh, William Knight, Bernd Carsten Stahl:
Time to consider animal data governance: perspectives from neuroscience. - Layth N. Amra, Philipp Mächler, Natalie Fomin-Thunemann, Kivilcim Kiliç, Payam A. Saisan, Anna Devor, Martin Thunemann:
Tissue Oxygen Depth Explorer: an interactive database for microscopic oxygen imaging data.
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