Frontiers in Neuroinformatics

Original Research

Published on 09 Mar 2023

Neural network-derived perfusion maps: A model-free approach to computed tomography perfusion in patients with acute ischemic stroke

Umberto A. Gava
Federico D’Agata
Enzo Tartaglione
Riccardo Renzulli
Marco Grangetto
Francesca Bertolino
Ambra Santonocito
Edwin Bennink
Giacomo Vaudano
Andrea Boghi

doi 10.3389/fninf.2023.852105

7,463 views
16 citations

Perspective

Published on 09 Mar 2023

A neuroscientist’s guide to using murine brain atlases for efficient analysis and transparent reporting

Heidi Kleven
Ingrid Reiten
Camilla H. Blixhavn
Ulrike Schlegel
Martin Øvsthus
Eszter A. Papp
Maja A. Puchades
Jan G. Bjaalie
Trygve B. Leergaard
Ingvild E. Bjerke

Frontiers in Neuroinformatics

doi 10.3389/fninf.2023.1154080

10,870 views
10 citations

Original Research

Published on 09 Mar 2023

A computational model to simulate spectral modulation and speech perception experiments of cochlear implant users

Franklin Alvarez
Daniel Kipping
Waldo Nogueira

Frontiers in Neuroinformatics

doi 10.3389/fninf.2023.934472

6,227 views
8 citations

Original Research

Published on 08 Mar 2023

Maximum likelihood-based estimation of diffusion coefficient is quick and reliable method for analyzing estradiol actions on surface receptor movements

Geza Makkai
Istvan M. Abraham
Klaudia Barabas
Soma Godo
David Ernszt
Tamas Kovacs
Gergely Kovacs
Szilard Szocs
Tibor Z. Janosi

Frontiers in Neuroinformatics

doi 10.3389/fninf.2023.1005936

4,623 views
1 citation

Methods

Published on 02 Mar 2023

An accessible and versatile deep learning-based sleep stage classifier

Jevri Hanna
Agnes Flöel

Frontiers in Neuroinformatics

doi 10.3389/fninf.2023.1086634

8,596 views
8 citations

Editorial

Published on 28 Feb 2023

Editorial: Machine learning methods for human brain imaging

Fatos Tunay Yarman Vural
Sharlene D. Newman
Tolga Çukur
Itır Önal Ertugrul

Frontiers in Neuroinformatics

doi 10.3389/fninf.2023.1154835

5,304 views

Original Research

Published on 23 Feb 2023

A systematic comparison of deep learning methods for EEG time series analysis

Dominik Walther
Johannes Viehweg
Jens Haueisen
Patrick Mäder

Frontiers in Neuroinformatics

doi 10.3389/fninf.2023.1067095

14,357 views
33 citations

Original Research

Published on 17 Feb 2023

RETRACTED: NeuroSuites: An online platform for running neuroscience, statistical, and machine learning tools

José Luis Moreno-Rodríguez
Pedro Larrañaga
Concha Bielza

Frontiers in Neuroinformatics

doi 10.3389/fninf.2023.1092967

7,186 views
1 citation

Original Research

Published on 16 Feb 2023

Improving the brain image resolution of generalized q-sampling MRI revealed by a three-dimensional CNN-based method

Chun-Yuan Shin
Yi-Ping Chao
Li-Wei Kuo
Yi-Peng Eve Chang
Jun-Cheng Weng

Frontiers in Neuroinformatics

doi 10.3389/fninf.2023.956600

7,662 views
4 citations

Original Research

Published on 16 Feb 2023

A study on the clusterability of latent representations in image pipelines

Adrian Wheeldon
Alexander Serb

Frontiers in Neuroinformatics

doi 10.3389/fninf.2023.1074653

8,510 views
2 citations

Original Research

Published on 10 Feb 2023

Efficient parameter calibration and real-time simulation of large-scale spiking neural networks with GeNN and NEST

Felix Johannes Schmitt
Vahid Rostami
Martin Paul Nawrot

Frontiers in Neuroinformatics

doi 10.3389/fninf.2023.941696

9,354 views
4 citations

Original Research

Published on 02 Feb 2023

A parameter-optimization framework for neural decoding systems

Jing Xie
Rong Chen
Shuvra S. Bhattacharyya

Frontiers in Neuroinformatics

doi 10.3389/fninf.2023.938689

6,887 views

Original Research

Published on 02 Feb 2023

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

Mikhail Bogachev
Aleksandr Sinitca
Konstantin Grigarevichius
Nikita Pyko
Asya Lyanova
Margarita Tsygankova
Eldar Davletshin
Konstantin Petrov
Tatyana Ageeva
Svetlana Pyko

Frontiers in Neuroinformatics

doi 10.3389/fninf.2023.1101112

12,051 views
15 citations

Original Research

Published on 23 Jan 2023

An enhanced deep deterministic policy gradient algorithm for intelligent control of robotic arms

Ruyi Dong
Junjie Du
Yanan Liu
Ali Asghar Heidari
Huiling Chen

Frontiers in Neuroinformatics

doi 10.3389/fninf.2023.1096053

12,052 views
17 citations

86 Publications

volumes

Neural network-derived perfusion maps: A model-free approach to computed tomography perfusion in patients with acute ischemic stroke

A neuroscientist’s guide to using murine brain atlases for efficient analysis and transparent reporting

A computational model to simulate spectral modulation and speech perception experiments of cochlear implant users

Maximum likelihood-based estimation of diffusion coefficient is quick and reliable method for analyzing estradiol actions on surface receptor movements

An accessible and versatile deep learning-based sleep stage classifier

Editorial: Machine learning methods for human brain imaging

A systematic comparison of deep learning methods for EEG time series analysis

RETRACTED: NeuroSuites: An online platform for running neuroscience, statistical, and machine learning tools

Improving the brain image resolution of generalized q-sampling MRI revealed by a three-dimensional CNN-based method

A study on the clusterability of latent representations in image pipelines

Efficient parameter calibration and real-time simulation of large-scale spiking neural networks with GeNN and NEST

A parameter-optimization framework for neural decoding systems

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

An enhanced deep deterministic policy gradient algorithm for intelligent control of robotic arms