Neural Data

Neural data is the electrical activity produced by neurons in the brain. It is used to study the functioning of the brain and can be used to diagnose and monitor neurological diseases, and to develop therapies such as deep brain stimulation (DBS). Neural data can also be used to build artificial intelligence (AI) systems, helping computers to learn and respond more accurately to complex tasks. Furthermore, it is being used in the development of brain-computer interfaces (BCI) which allow direct control of devices and robots with thoughts. Neural data is a powerful tool that can be used to understand the complexities of the human brain and to improve the treatment and diagnosis of neurological diseases.

← International Journal of Neuroinformatics

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Predictors of Averse Events After Total Laryngectomy: An Analysis of the 2005-2011 NSQIP Datasets
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Biocompatible Scaffolds for Human-Induced Pluripotent Stem Cell Transplantation and Modeling Post-Stroke Recovery in Three-Dimensional Neural Cell Culture
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Mental Health Promotion Through Collection of Global Opinion Data
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A Bit Exagerrated Role of Complete Blood Count Parameters on the Prognosis of Idiopathic Sudden Sensorineural Hearing Loss
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Dual Effects of Neuroprotection and Neurotoxicity by General Anesthetics on Neural Stem Cells: Role of Autophagy
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Supporting Quality Data Systems:  Lessons Learned from Early Implementation of Routine Viral Load Monitoring at a Large Clinic in Lilongwe, Malawi
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Hospital Episodes Due to Antidepressant Overdose: An Under-Utilised Source of Pharmacovigilance Data
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Suboccipital Decompression for Occipital Neuralgia
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Development of a Chronic Obstructive Pulmonary Disease Severity Classification System Using A Japanese Health Insurance Claims Database
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Morphological Features of Wild Mallard Ducks on Postnatal Growth Based on Functional Analysis of Capture-Recapture Data
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Ovarian Cancer Identification Based on Feature Weighting for High-Throughput Mass Spectrometry Data
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Big Data Research: Database and Computing
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Secular Trend in the Incidence of Japanese Employees with Thyroid Cancer Undergoing Thyroidectomy from 2005 to 2014: a Retrospective Descriptive Study Using an Employment-Based Insurance Claims Database
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Trigeminal Neuralgia: Indications of Gasserian Ganglion Gompression with Balloon Catheter in the Modern Era
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RESinvANFIS v1.0 - A Versatile MATLAB Tool for Inverting Geoelectrical Resistivity Sounding Data using Neuro Fuzzy Technique
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Artificial Neural Network Model for Rainfall Data Analysis During 2004-2017 in Tamil Nadu, India – Prevailing Pattern Evaluation on Climate Change
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Genetic Algorithm Coupled with Neural Networks to Guesstimate the Subsurface Features of the Earth
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Rate, Maternal and Fetal Outcome of Cesarean Delivery Performed by IESO at Shenen Gibe General Hospital, Jimma South West Ethiopia: A Descriptive Retrospective Data
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Models and data Analysis of the Outbreak Risk of COVID-19
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Controlling the Covid-19 Pandemic without Killing the Economy: About Data Driven Decision Making with a Data Model Assessing Local Transmission Risk
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Can Data-Driven Hypotheses Replace the Scientific Method?
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A Missing Data on Covid-19 Forecasts
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Characterizing the Dynamics of Covid-19 Based on Data
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Legal, Marketing, and Advertising Issues with Big Data
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New Classification for Bifurcated Mandibular Neural Canal
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Users Perception and Factors Affecting Data Quality in Nyarugenge Public Health Facility, Rwanda
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Clustering objects for spatial data mining: a comparative study
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A Data Mining Methodology for Detecting Conspiracy Theories from Scientific Articles: The Covid-19 Case
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A Decision Tree Ensemble Approach to Diabetes Prediction using the Framingham Heart Dataset, Exploring the Role of AI-Associated Interventions in Reducing Diabetes-Related Adverse Outcomes Between Men and Women
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