ReviewFrontiers in neuroscience2016
Processing and Analysis of Multichannel Extracellular Neuronal Signals: State-of-the-Art and Challenges.
Review in Frontiers in neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- Advanced passive 3D bioelectronics: powerful tool for the cardiac electrophysiology investigation.Microsystems & nanoengineering · 2025Review
- Organic Mixed Ionic-Electronic Conductors for Bioelectronic Sensors: Materials and Operation Mechanisms.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- ABOT: an open-source online benchmarking tool for machine learning-based artefact detection and removal methods from neuronal signals.Brain informatics · 2022Article
- Xenon LFP Analysis Platform Is a Novel Graphical User Interface for Analysis of Local Field Potential From Large-Scale MEA Recordings.Frontiers in neuroscience · 2022Article
- Methods for inferring neural circuit interactions and neuromodulation from local field potential and electroencephalogram measures.Brain informatics · 2021Review
- Deep Learning in Mining Biological Data.Cognitive computation · 2021Review
- Multi-Electrode Array Analysis Identifies Complex Dopamine Responses and Glucose Sensing Properties of Substantia Nigra Neurons in Mouse Brain Slices.Frontiers in synaptic neuroscience · 2021Article
- Application of deep learning in detecting neurological disorders from magnetic resonance images: a survey on the detection of Alzheimer's disease, Parkinson's disease and schizophrenia.Brain informatics · 2020Review
- State-aware detection of sensory stimuli in the cortex of the awake mouse.PLoS computational biology · 2019Article
- NeuroChaT: A toolbox to analyse the dynamics of neuronal encoding in freely-behaving rodentsWellcome open research · 2019Article
- Comparing Open-Source Toolboxes for Processing and Analysis of Spike and Local Field Potentials Data.Frontiers in neuroinformatics · 2019Review
- SPICODYN: A Toolbox for the Analysis of Neuronal Network Dynamics and Connectivity from Multi-Site Spike Signal Recordings.Neuroinformatics · 2018Article
- Acute In Vivo Electrophysiological Recordings of Local Field Potentials and Multi-unit Activity from the Hyperdirect Pathway in Anesthetized Rats.Journal of visualized experiments : JoVE · 2017Article
- Trends and Challenges in Neuroengineering: Toward "Intelligent" Neuroprostheses through Brain-"Brain Inspired Systems" Communication.Frontiers in neuroscience · 2016Article
- Progress in Neuroengineering for brain repair: New challenges and open issues.Brain and neuroscience advancesArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years multichannel neuronal signal acquisition systems have allowed scientists to focus on research questions which were otherwise impossible. They act as a powerful means to study brain (dys)functions in in-vivo and in in-vitro animal models. Typically, each session of electrophysiological experiments with multichannel data acquisition systems generate large amount of raw data. For example, a 128 channel signal acquisition system with 16 bits A/D conversion and 20 kHz sampling rate will generate approximately 17 GB data per hour (uncompressed). This poses an important and challenging problem of inferring conclusions from the large amounts of acquired data. Thus, automated signal processing and analysis tools are becoming a key component in neuroscience research, facilitating extraction of relevant information from neuronal recordings in a reasonable time. The purpose of this review is to introduce the reader to the current state-of-the-art of open-source packages for (semi)automated processing and analysis of multichannel extracellular neuronal signals (i.e., neuronal spikes, local field potentials, electroencephalogram, etc.), and the existing Neuroinformatics infrastructure for tool and data sharing. The review is concluded by pinpointing some major challenges that are being faced, which include the development of novel benchmarking techniques, cloud-based distributed processing and analysis tools, as well as defining novel means to share and standardize data.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.