Neuroinformatics and Neurotechnology

Neuroinformatics is an interdisciplinary field that involves the integration of information technology, computational methods, and neuroscience to facilitate the collection, organization, analysis, and sharing of large and complex neuroscience data.

Key aspects of neuroinformatics include:

  • Data Management and Sharing
  • Data Analysis
  • Modeling and Simulation
  • Neuroimaging Informatics
  • Connectomics
  • Genomic and Transcriptomic Data
  • Data Standards and Ontologies
  • Machine Learning and AI

Neurotechnology involves the development of tools, techniques, and devices that interface with the nervous system to study, manipulate, or restore its function. Neurotechnology has a wide range of applications, from basic research to clinical interventions.

Key areas of neurotechnology include:

  • Neuroimaging Technologies
  • Electrophysiology
  • Neural Recording and Stimulation
  • Brain-Machine Interfaces (BMIs)
  • Neuromodulation
  • Neuroprosthetics
  • Neurofeedback
  • Optogenetics

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