International Journal of Neuroinformatics

Aims and Scope

International Journal of Neuroinformatics (IJNI) is a premier, peer-reviewed journal dedicated to advancing research in Neuroinformatics, Computational Neuroscience, and Artificial Intelligence as applied to brain science. IJNI provides a platform for cutting-edge research on the structure, function, and behavior of the human brain, along with neural networks, and computational models.  
 

Scope and Focus :

IJNI covers a wide range of topics at the intersection of neuroscience and computational technology, including:   

• Computational Neuroscience: Mathematical and computational modeling of the nervous system.  
• Neuroinformatics Platforms & Tools: Software, databases, and AI-driven analytics for neuroscience research.  
• Brain Imaging Informatics: Advanced informatics techniques for analyzing neuroimaging data.  
• Neural Modeling & Simulation: Computational frameworks for understanding neural processes.  
• Neuroprosthetics & Brain-Computer Interfaces: Innovative devices for restoring or enhancing neural function.  
• Systems Neuroscience: Investigating neural networks across multiple levels of complexity.  
• Translational Neuroinformatics: Bridging neuroscience research with clinical applications for neurological and psychiatric disorders.  
   

Clinical & Technological Applications: IJNI also explores the clinical implications of Neuroinformatics, including:   

• AI & Machine Learning in Neurology: Predictive models for diagnosis and treatment of neurological conditions.  
• Cognitive Neuroscience & Natural Language Processing: AI-driven insights into human cognition and language.  
• Robotics in Neuroscience: Intelligent systems and prosthetics for motor and cognitive rehabilitation.  
• Neurological Disorder Monitoring: Novel informatics tools for tracking disease progression.  
   

A few keywords were outlined, which suit the journal scope, not limited to them. For more queries, contact us at [email protected]

• Neuroscience
• Neurosurgery
• Medical imaging
• Magnetic resonance imaging
• Cognitive Neuroscience
• Computational Neuroscience
• Brain imaging
• Diffusion-Tensor-Imaging
• Molecular Imaging
• Functional magnetic resonance imaging
• Brain-Computer-Interfaces
• Neuroengineering
• Brain-computer interfaces
• Neuroethology
• Neural Computation
• Brain reading
• Systems neuroscience
• Functional imaging
• Cognitive informatics
• Structural imaging
• Functional ultrasound imaging
• Computed Axial Tomography (CAT)
• Myelin imaging
• Structural magnetic resonance imaging
• Brain Informatics
• Medical image computing
• Diffuse optical imaging (DOI)
• Neuro informatics
• Neuroscience databases
• Neuroscience research
• Neural data
• Neuronal system
• Modeling of CNS
• Neuroscience data
• Brain modeling
• Nervous system functions
• Neuromedicine
• Psychology
• Neuroradiology
• Molecular imaging strategies
• Human brain activity
• Neurocare
• Pediatric Neurogenetic Disorders
• Neuromodulation
• Neurophysiological Signal Analysis
• Aging-Related Neuronal Diseases
• Alzheimer's disease
• EEG Time Series Analysis
• Interpretable brain networks
• Brain metastases
• In vitro neural network
• Single neuron activity
• Graph Neural Network
• Major depressive disorder
• Generalized EEG suppression
• Swarm intelligence
• Adversarial Networks
• Artificial neural network
• Convolution neural network