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      1. Column 1
        1. General neuroinformatics
          1. Digital brain atlasing
          2. Neuroimaging
          3. Neuromorphic engineering
          4. Ontologies
          5. Optogenetics
          6. Reproducibility
          7. Standards and best practices
          8. Tools
          9. Workflows
        2. Computational neuroscience
          1. Biochemical networks
          2. Dynamic systems
          3. Mathematics
          4. Neural coding
          5. Statistics
      2. Column 2
        1. Computer science
          1. Databases
          2. High performance computing
          3. Software engineering
        2. Clinical neuroscience
          1. Clinical neuroinformatics
            1. Cognitive neuroinformatics
          2. Pain
          3. Psychiatric disorders
          4. Schizophrenia
      3. Column 3
        1. General neuroscience
          1. Neuroscience
            1. Developmental neuroscience
          2. Cell signaling
          3. Connectomics
          4. Glia
          5. Electrophysiology
            1. EEG
            2. ERP
          6. Learning and memory
          7. Neuroanatomy
          8. Neurobiology
          9. Neurodegeneration
          10. Neuroimmunology
          11. Neurophysiology
          12. Neuropharmacology
          13. Synaptic plasticity
          14. Visual system
      4. Column 4
        1. Genomics
        2. Data science
          1. Data management
          2. Data analysis
          3. Data structures/models
        3. Open science
        4. Education
        5. Ethics

Reproducibility and rigor in computational neuroscience: testing the data driven model

INCF
Oct, 2018
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Sharon Crook, Arizona State University, present a flexible infrastructure for validation of models in neuroscience with the goal of integrating experimental data with modeling efforts for greater efficiency, transparency, and impact of computational models.

Tools and standards to make neuroimaging derived data reusable

INCF
Oct, 2018
0 likes
This talk will discuss recent initiatives to represent and share neuroimaging metadata and how these can help us leverage heterogeneous datasets. 1 of 2 talks: Brain imaging standards and best practices.

Towards a robust data organization scheme for neuroimaging: the Brain Imaging Data Structure

INCF
Oct, 2018
0 likes
This talk will describe data sharing efforts via the OpenfMRI and OpenNeuro projects, and how those efforts have been supported by the development of a community standard for data organization: The Brain Imaging Data Structure (BIDS) standard. 1 of 2 talks: Brain imaging standards and best practices.

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Topics

  • General neuroinformatics (55)
    • Digital brain atlasing (12)
    • Neuroimaging (22)
    • Neuromorphic engineering (10)
    • Ontologies (3)
    • Optogenetics (1)
    • (-) Reproducibility (3)
    • Standards and best practices (2)
    • Tools (5)
    • Workflows (4)
  • Computational neuroscience (100)
    • Biochemical networks (1)
    • Dynamic systems (2)
    • Mathematics (8)
    • Neural coding (20)
    • Statistics (2)
  • Computer science (37)
    • Databases (7)
    • High performance computing (19)
    • Software engineering (1)
  • Clinical neuroscience (20)
    • Clinical neuroinformatics (9)
      • Cognitive neuroinformatics (5)
    • Pain (2)
    • Psychiatric disorders (4)
    • Schizophrenia (2)
  • General neuroscience (82)
    • Neuroscience (11)
      • Developmental neuroscience (7)
    • Cell signaling (2)
    • Connectomics (1)
    • Glia (1)
    • Electrophysiology (12)
    • Learning and memory (4)
    • Neuroanatomy (24)
    • Neurobiology (8)
    • Neurodegeneration (4)
    • Neuroimmunology (2)
    • Neurophysiology (20)
    • Neuropharmacology (2)
    • Synaptic plasticity (2)
    • Visual system (12)
  • Genomics (5)
  • Data science (37)
    • Data management (15)
    • Data analysis (18)
    • Data structures/models (7)
  • Open science (20)
  • Education (3)

Difficulty levels

  • Intermediate (3)

Types

  • Slides (3)
  • Video (3)
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Providing informatics educational resources for the global neuroscience community

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