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Items: 1 to 20 of 472

1.

Information-Theoretical Analysis of EEG Microstate Sequences in Python.

von Wegner F, Laufs H.

Front Neuroinform. 2018 Jun 1;12:30. doi: 10.3389/fninf.2018.00030. eCollection 2018.

2.

EEG-Based Detection of Braking Intention Under Different Car Driving Conditions.

Hernández LG, Mozos OM, Ferrández JM, Antelis JM.

Front Neuroinform. 2018 May 29;12:29. doi: 10.3389/fninf.2018.00029. eCollection 2018.

3.

Better Diffusion Segmentation in Acute Ischemic Stroke Through Automatic Tree Learning Anomaly Segmentation.

Boldsen JK, Engedal TS, Pedraza S, Cho TH, Thomalla G, Nighoghossian N, Baron JC, Fiehler J, Østergaard L, Mouridsen K.

Front Neuroinform. 2018 Apr 25;12:21. doi: 10.3389/fninf.2018.00021. eCollection 2018.

4.

Application of Ferulic Acid for Alzheimer's Disease: Combination of Text Mining and Experimental Validation.

Meng G, Meng X, Ma X, Zhang G, Hu X, Jin A, Zhao Y, Liu X.

Front Neuroinform. 2018 May 29;12:31. doi: 10.3389/fninf.2018.00031. eCollection 2018.

5.

New Protocol for Quantitative Analysis of Brain Cortex Electroencephalographic Activity in Patients With Psychiatric Disorders.

Wojcik GM, Masiak J, Kawiak A, Schneider P, Kwasniewicz L, Polak N, Gajos-Balinska A.

Front Neuroinform. 2018 May 24;12:27. doi: 10.3389/fninf.2018.00027. eCollection 2018.

6.

Brain-CODE: A Secure Neuroinformatics Platform for Management, Federation, Sharing and Analysis of Multi-Dimensional Neuroscience Data.

Vaccarino AL, Dharsee M, Strother S, Aldridge D, Arnott SR, Behan B, Dafnas C, Dong F, Edgecombe K, El-Badrawi R, El-Emam K, Gee T, Evans SG, Javadi M, Jeanson F, Lefaivre S, Lutz K, MacPhee FC, Mikkelsen J, Mikkelsen T, Mirotchnick N, Schmah T, Studzinski CM, Stuss DT, Theriault E, Evans KR.

Front Neuroinform. 2018 May 23;12:28. doi: 10.3389/fninf.2018.00028. eCollection 2018.

7.

Analyzing the Behavior of Neuronal Pathways in Alzheimer's Disease Using Petri Net Modeling Approach.

Ashraf J, Ahmad J, Ali A, Ul-Haq Z.

Front Neuroinform. 2018 May 23;12:26. doi: 10.3389/fninf.2018.00026. eCollection 2018.

8.

Resting-State Brain Functional Hyper-Network Construction Based on Elastic Net and Group Lasso Methods.

Guo H, Li Y, Xu Y, Jin Y, Xiang J, Chen J.

Front Neuroinform. 2018 May 15;12:25. doi: 10.3389/fninf.2018.00025. eCollection 2018.

9.
10.

Challenges in Reproducibility, Replicability, and Comparability of Computational Models and Tools for Neuronal and Glial Networks, Cells, and Subcellular Structures.

Manninen T, Aćimović J, Havela R, Teppola H, Linne ML.

Front Neuroinform. 2018 May 1;12:20. doi: 10.3389/fninf.2018.00020. eCollection 2018.

11.

Corrigendum: Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks.

Naveros F, Garrido JA, Carrillo RR, Ros E, Luque NR.

Front Neuroinform. 2018 May 4;12:24. doi: 10.3389/fninf.2018.00024. eCollection 2018.

12.

Deep Learning Methods to Process fMRI Data and Their Application in the Diagnosis of Cognitive Impairment: A Brief Overview and Our Opinion.

Wen D, Wei Z, Zhou Y, Li G, Zhang X, Han W.

Front Neuroinform. 2018 Apr 26;12:23. doi: 10.3389/fninf.2018.00023. eCollection 2018. No abstract available.

13.

Corrigendum: Software for Brain Network Simulations: A Comparative Study.

Tikidji-Hamburyan RA, Narayana V, Bozkus Z, El-Ghazawi TA.

Front Neuroinform. 2018 May 1;12:22. doi: 10.3389/fninf.2018.00022. eCollection 2018.

14.

Credibility, Replicability, and Reproducibility in Simulation for Biomedicine and Clinical Applications in Neuroscience.

Mulugeta L, Drach A, Erdemir A, Hunt CA, Horner M, Ku JP, Myers JG Jr, Vadigepalli R, Lytton WW.

Front Neuroinform. 2018 Apr 16;12:18. doi: 10.3389/fninf.2018.00018. eCollection 2018. Review.

15.

A Dictionary Learning Approach for Signal Sampling in Task-Based fMRI for Reduction of Big Data.

Ge B, Li X, Jiang X, Sun Y, Liu T.

Front Neuroinform. 2018 Apr 12;12:17. doi: 10.3389/fninf.2018.00017. eCollection 2018.

16.

Experimental Directory Structure (Exdir): An Alternative to HDF5 Without Introducing a New File Format.

Dragly SA, Hobbi Mobarhan M, Lepperød ME, Tennøe S, Fyhn M, Hafting T, Malthe-Sørenssen A.

Front Neuroinform. 2018 Apr 13;12:16. doi: 10.3389/fninf.2018.00016. eCollection 2018.

17.

PyMUS: Python-Based Simulation Software for Virtual Experiments on Motor Unit System.

Kim H, Kim M.

Front Neuroinform. 2018 Apr 11;12:15. doi: 10.3389/fninf.2018.00015. eCollection 2018.

18.

NeuroMatic: An Integrated Open-Source Software Toolkit for Acquisition, Analysis and Simulation of Electrophysiological Data.

Rothman JS, Silver RA.

Front Neuroinform. 2018 Apr 4;12:14. doi: 10.3389/fninf.2018.00014. eCollection 2018.

19.

A Statistically Representative Atlas for Mapping Neuronal Circuits in the Drosophila Adult Brain.

Arganda-Carreras I, Manoliu T, Mazuras N, Schulze F, Iglesias JE, Bühler K, Jenett A, Rouyer F, Andrey P.

Front Neuroinform. 2018 Mar 23;12:13. doi: 10.3389/fninf.2018.00013. eCollection 2018.

20.

A Density-Driven Method for the Placement of Biological Cells Over Two-Dimensional Manifolds.

Rougier NP.

Front Neuroinform. 2018 Mar 20;12:12. doi: 10.3389/fninf.2018.00012. eCollection 2018.

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