Skip to main content
INCF
  • Learn
  • Teach
  • Contribute
  • Topics
      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

Whole-cell recordings

EPFL
Feb, 2016
0 likes
Tutorial: How to make whole-cell recordings from brain slices. Speaker: Semihcan Sermet.

Getting started in computational neuroscience

Most who enter the field of computational neuroscience have a prior background in either mathematics, physics, computer science, or (neuro)biology. Since computational neuroscience requires a bit of knowledge from all these fields, with some basic knowledge of neurons and a familiarity with certain types of equations and mathematical concepts, we recommend two different "starting tracks" depending on the student's background: Intro to computational neuroscience for a computer sci/math background The student should learn basic concepts and equations for how neurons generate signals, either a

Synaptic transmission

EPFL
Feb, 2016
0 likes
Synaptic transmission and neurotransmitters. Speaker: Carl Petersen.

Neurotransmitter release

EPFL
Feb, 2016
0 likes
Neurotransmitter release in the presynaptic specialization. Speaker: Carl Petersen.

Presynaptic dynamics

EPFL
Feb, 2016
0 likes
Presynaptic short-term dynamics and plasticity. Speaker: Carl Petersen.

Presynaptic modulation

EPFL
Feb, 2016
0 likes
Synaptic modulation through diffusing neurotransmitters. Speaker: Carl Petersen.

Structure of synapses

EPFL
Feb, 2016
0 likes
Investigating the structure of synapses with electron microscopy. Speaker: Graham Knott.

Glutamate receptors

EPFL
Feb, 2016
0 likes
Glutamatergic transmission. Speaker: Carl Petersen.

Postsynaptic potentials

EPFL
Feb, 2016
0 likes
Glutamate release after an action potential. Resulting post-synaptic potentials in a biophysically realistic situation. Speaker: Carl Petersen.
  • Show more

Refine search

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

  • Beginner (162)
  • Intermediate (38)
  • Advanced (4)

Types

  • Video (198)
  • Slides (40)
  • Tutorial (13)
INCF

Providing informatics educational resources for the global neuroscience community

Footer menu

  • About
  • Contact
  • Cookies
  • INCF.org
  • TrainingSpace