A guide for a Newbie in the lab


Compiled below are some links to things you should probably find time to read/watch so that you'll be much more fluent in the lab's jargon and research topics. Some are simple, some aren't, and all are free. Good Luck!
  • Neuroscience:
    • Free Massive Open Online Classes (MOOCs)
      • Medical Neuroscience – Duke University. A thorough, visual, detailed course on brain anatomy and basic nerve cell activity.
      • Computational Neuroscience – Washington U. An introduction into the computational modelling behind neuronal activity. Requires basic understanding of linear algebra.
      • Neuronal Dynamics – EPFL. A complete computational course which delves into the mathematical models behind single neuron activity.

  • What is EEG – YouTube. Really, the first video you should see about EEG.

  • Matlab:
    • The single most important tool you will use. Through Matlab, we design, build, implement, experiment, and analyze most of the scientific work. You can get to know it here. Another Coursera course available here.

  • Brain Computer Interface (BCI):
    • Video Tutorials – Swartz Center for Computational Neuroscience, UCSD. A series of short videos that help understand how BCIs work.

  • Machine Learning:
    • There are abundant videos, MOOCs, papers, tutorials, and everything else you can think of, about machine learning (ML) available online. Here are a few that better relate to neuroscience:
    • MOOCs:
      • Machine Learning – Stanford. A good guide for (concretely) understanding basic regression, neural networks, dimensionality reduction and more. 
      • Neural Networks for Machine Learning – Toronto. A course given by one of the world's premier ML scientist, Geoffrey Hinton. Not an easy listening experience. Requires a good understanding of linear algebra and British accents.

  • Signal Processing:

  • Cognitive Psychology:
    • A free online book (Hebrew) from the Open University.