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Frontiers in Neuroscience is a peer-reviewed journal published by Frontiers, covering Neural dynamics and brain function, Functional Brain Connectivity Studies, EEG and Brain-Computer Interfaces. Over its lifetime it has published 19,479 papers, which have received 493,738 citations.
| Publisher | Frontiers |
|---|---|
| Reference style | Numbered (Vancouver) Numbered — [1], [2] in the text 1. Smith A, Jones B, Lee C. A representative article title. Frontiers in Neuroscience. 2023;12(3):45–58.
Formats any DOI in Frontiers in Neuroscience style. No sign-up. |
| Publishes research in | Neural dynamics and brain function Functional Brain Connectivity Studies EEG and Brain-Computer Interfaces Neuroscience and Neural Engineering Neuroscience and Neuropharmacology Research |
| ISSN | 1662-453X |
| Citation impact (2-yr) | 3.99 |
| h-index | 224 |
| i10-index | 9,745 |
| Article processing charge | $2,950 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Harvard University |
| Journal website | www.frontiersin.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Magnetoencephalography and electroencephalography (M/EEG) measure the weak electromagnetic signals generated by neuronal activity in the brain. Using these signals to characterize and locate neural activation in the brain is a challenge that requires expertise in physics, signal processing, statistics, and numerical methods. As part of the MNE software suite, MNE-Python is an open-source software package…
Hardware implementations of spiking neurons can be extremely useful for a large variety of applications, ranging from high-speed modeling of large-scale neural systems to real-time behaving systems, to bidirectional brain-machine interfaces. The specific circuit solutions used to implement silicon neurons depend on the application requirements. In this paper we describe the most common building blocks…
We introduce the Mindboggle-101 dataset, the largest and most complete set of free, publicly accessible, manually labeled human brain images. To manually label the macroscopic anatomy in magnetic resonance images of 101 healthy participants, we created a new cortical labeling protocol that relies on robust anatomical landmarks and minimal manual edits after initialization with automated…
The microbiota, the gut, and the brain communicate through the microbiota-gut-brain axis in a bidirectional way that involves the autonomic nervous system. The vagus nerve (VN), the principal component of the parasympathetic nervous system, is a mixed nerve composed of 80% afferent and 20% efferent fibers. The VN, because of its role in interoceptive awareness,…
The Common Spatial Pattern (CSP) algorithm is an effective and popular method for classifying 2-class motor imagery electroencephalogram (EEG) data, but its effectiveness depends on the subject-specific frequency band. This paper presents the Filter Bank Common Spatial Pattern (FBCSP) algorithm to optimize the subject-specific frequency band for CSP on Datasets 2a and 2b of the…
