Frontiers Neuroinformatics

Publications

volume 17, 2023

Karissa Chan, Pejman Jahbedar Maralani, Alan R. Moody, April Khademi
Synthesis of diffusion-weighted MRI scalar maps from FLAIR volumes using generative adversarial networks. Frontiers Neuroinformatics 17 (2023)
Scott C. Neu, Karen L. Crawford, Arthur W. Toga
The image and data archive at the laboratory of neuro imaging. Frontiers Neuroinformatics 17 (2023)
Franklin Alvarez Cardinale, Daniel Kipping, Waldo Nogueira
A computational model to simulate spectral modulation and speech perception experiments of cochlear implant users. Frontiers Neuroinformatics 17 (2023)
Anders J. Asp, Yaswanth Chintaluru, Sydney Hillan, Jose-Luis Poza-Luján
Targeted neuroplasticity in spatiotemporally patterned invasive neuromodulation therapies for improving clinical outcomes. Frontiers Neuroinformatics 17 (2023)
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. Frontiers Neuroinformatics 17 (2023)
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. Frontiers Neuroinformatics 17 (2023)
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. Frontiers Neuroinformatics 17 (2023)
Marcus Kaiser
Connectomes: from a sparsity of networks to large-scale databases. Frontiers Neuroinformatics 17 (2023)
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. Frontiers Neuroinformatics 17 (2023)
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. Frontiers Neuroinformatics 17 (2023)
Erik De Schutter
Efficient simulation of neural development using shared memory parallelization. Frontiers Neuroinformatics 17 (2023)
Satya S. Sahoo, Matthew D. Turner, Lei Wang, José Luis Ambite, Abhishek 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. Frontiers Neuroinformatics 17 (2023)
Julian Fuhrer, Kyrre Glette, Anaïs Llorens, Tor Endestad, Anne-Kristin Solbakk, Alejandro O. Blenkmann
Quantifying evoked responses through information-theoretical measures. Frontiers Neuroinformatics 17 (2023)
Adrian Wheeldon, Alexander Serb
A study on the clusterability of latent representations in image pipelines. Frontiers Neuroinformatics 17 (2023)
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. Frontiers Neuroinformatics 17 (2023)
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. Frontiers Neuroinformatics 17 (2023)
Xinran Dong
Editorial: Multi-modality imaging and multi-omics approach to pediatric neurogenetic disorders. Frontiers Neuroinformatics 17 (2023)
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. Frontiers Neuroinformatics 17 (2023)
Jing Xie, Rong Chen, Shuvra S. Bhattacharyya
A parameter-optimization framework for neural decoding systems. Frontiers Neuroinformatics 17 (2023)
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. Frontiers Neuroinformatics 17 (2023)
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. Frontiers Neuroinformatics 17 (2023)
Karol Chlasta, Pawel Sochaczewski, Grzegorz M. Wójcik, Izabela Krejtz
Neural simulation pipeline: Enabling container-based simulations on-premise and in public clouds. Frontiers Neuroinformatics 17 (2023)
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. Frontiers Neuroinformatics 17 (2023)
Toshiyuki Yamane, Akira Hirose, Bert Jan Offrein
Editorial: Physical neuromorphic computing and its industrial applications. Frontiers Neuroinformatics 17 (2023)
Parul Jain, Bruce W. Knight, Jonathan D. Victor
Application of a Hermite-based measure of non-Gaussianity to normality tests and independent component analysis. Frontiers Neuroinformatics 17 (2023)
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. Frontiers Neuroinformatics 17 (2023)
Erratum: Advancing prediction of risk of intraoperative massive blood transfusion in liver transplantation with machine learning models. A multicenter retrospective study. Frontiers Neuroinformatics 17 (2023)
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. Frontiers Neuroinformatics 17 (2023)
Ao Cheng, Jiahao Shi, Lirong Wang, Ruobing Zhang
Learning the heterogeneous representation of brain's structure from serial SEM images using a masked autoencoder. Frontiers Neuroinformatics 17 (2023)
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. Frontiers Neuroinformatics 17 (2023)
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. Frontiers Neuroinformatics 17 (2023)
Liya Ding, Xuan Zhao, Shuxia Guo, Yufeng Liu, Lijuan Liu, Yimin Wang, Hanchuan Peng
SNAP: a structure-based neuron morphology reconstruction automatic pruning pipeline. Frontiers Neuroinformatics 17 (2023)
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. Frontiers Neuroinformatics 17 (2023)
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. Frontiers Neuroinformatics 17 (2023)
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. Frontiers Neuroinformatics 17 (2023)
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. Frontiers Neuroinformatics 17 (2023)
Ruyi Dong, Junjie Du, Yanan Liu, Ali Asghar Heidari, Huiling Chen
An enhanced deep deterministic policy gradient algorithm for intelligent control of robotic arms. Frontiers Neuroinformatics 17 (2023)
Zac Bowen, Gudjon Magnusson, Madeline Diep, Ujjwal Ayyangar, Aleksandr Smirnov, Patrick O. Kanold, Wolfgang Losert
NeuroWRAP: integrating, validating, and sharing neurodata analysis workflows. Frontiers Neuroinformatics 17 (2023)
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. Frontiers Neuroinformatics 17 (2023)
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. Frontiers Neuroinformatics 17 (2023)
Sahaj Anilbhai Patel, Abidin Yildirim
Non-stationary neural signal to image conversion framework for image-based deep learning algorithms. Frontiers Neuroinformatics 17 (2023)
Dominik Walther, Johannes Viehweg, Jens Haueisen, Patrick Mäder
A systematic comparison of deep learning methods for EEG time series analysis. Frontiers Neuroinformatics 17 (2023)
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. Frontiers Neuroinformatics 17 (2023)
Farzaneh Keyvanfard, Alireza Rahimi Nasab, Abbas Nasiraei-Moghaddam
Brain subnetworks most sensitive to alterations of functional connectivity in Schizophrenia: a data-driven approach. Frontiers Neuroinformatics 17 (2023)
Fatos Tünay Yarman Vural, Sharlene D. Newman, Tolga Çukur, Itir Önal Ertugrul
Editorial: Machine learning methods for human brain imaging. Frontiers Neuroinformatics 17 (2023)
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. Frontiers Neuroinformatics 17 (2023)
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. Frontiers Neuroinformatics 17 (2023)
Yimin Wang, Zhi Zhou, Min Liu
Editorial: Image and geometry analysis for brain informatics. Frontiers Neuroinformatics 17 (2023)
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. Frontiers Neuroinformatics 17 (2023)
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. Frontiers Neuroinformatics 17 (2023)