Where to start

If you are new to the field, we recommend you select one of the introductory courses listed below. The courses provide you with a general overview of the field and facilitate your navigation through TrainingSpace. Currently, TrainingSpace contains videos of lectures and tutorials, learning objectives/topics covered for each lecture/tutorial, and links to pre-requisites and software required to successfully complete the course. In addition, TrainingSpace also provides you with recommendations for which lecture to view next. For introductory courses, this can be the next lecture in the course (different/related topic) or a more in-depth course on the current topic.

TrainingSpace currently has 4 introductory study tracks:

  • Neuroinformatics is a research field concerned with the organization of neuroscience data by the application of computational models and analytical tools. These areas of research are important for the integration and analysis of increasingly large-volume, high-dimensional, and fine-grain experimental data. There are three main directions where neuroinformatics has to be applied: i. the development of tools and databases for management and sharing of neuroscience data at all levels of analysis, ii. the development of tools for analyzing and modeling neuroscience data, and iii. the development of computational models of the nervous system and neural processes. 

    This study track is intended for those with a background in neurobiology looking to gain a basic understanding of how informatics approaches can be used in their research.
  • Brain medicine refers to the clinical presentation of neurodegenerative, neuropsychiatric, and neuroimmunological disorders, as well as the latest research findings, methods, and therapeutics. 

    This study is a general study track appropriate for those with a background in neurobiology or informatics.
  • Neurobiology is the scientific study of the nervous system that combines physiology, anatomy, molecular biology, developmental biology, cytology, mathematical modeling, and psychology to understand the fundamental and emergent properties of neurons and neural circuits. 

    This study track is intended for those with a background in informatics looking to gain basic understanding of neurobiology.
  • Computational neuroscience is a branch of neuroscience which employs mathematical models, theoretical analysis and abstractions of the brain to understand the principles that govern the development, structure, physiology, and cognitive abilities of the nervous system. Computational neuroscience focuses on the description of biologically plausible neurons and their physiology and dynamics, and it is therefore not concerned with biologically unrealistic disciplines such as connectivity, machine learning, artificial neural networks, artificial intelligence, and computational learning theory. 

    This study track is intended for those with either a background in neurobiology or informatics looking to gain a basic understanding of computational neuroscience.