Welcome to the training and education webpage proposed by the Belgian Neuroinformatics node.
This page intends to list available courses for students and postdocs in the field of neuroscience with an emphasis on Neuroinformatics and Computational Neuroscience.
We will try to be as accurate as possible.
If you know about a course or a particular training which is not available in the list or if you want to advertise a course or a workshop you are organizing, please contact me at:
June 13th-30th, Okinawa, Japan
Application deadline: February 14th 2011
Notification of acceptance: early March 2011
Confirmation of acceptance: mid-March 2011
The aim of the Okinawa Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 13th through June 30th, 2011 at an oceanfront seminar house of the Okinawa Institute of Science and Technology. Applications are through the course web page only; they will open January 3rd and close February 14th, 2011. Applicants are required to propose a project at the time of application. Applicants will receive confirmation of acceptance in March. Like in preceding years, OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international experts. We invite those who are interested in integrating experimental and computational approaches at each level, as well as in bridging different levels of complexity. The sponsor will provide lodging and meals during the course and support travel for those without funding. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan.
15th Advanced Course in Computational Neuroscience
August 2-27 2010, Freiburg, Germany
Application deadline: April 2nd 2010
Recommendation letters deadline: April 2nd 2010
Notification of results: April, 30th 2010
The ACCN is for advanced graduate students and postdoctoral fellows who are interested in learning the essentials of the field of computational neuroscience.
The course has two complementary parts. Mornings are devoted to lectures given by distinguished international faculty on topics across the breadth of experimental and computational neuroscience. During the rest of the day, students pursue a project of their choosing under the close supervision of expert tutors. This gives them practical training in the art and practice of neural modeling. The first week of the course introduces students to essential neurobiological concepts and to the most important techniques in modeling single cells, synapses and circuits. Students learn how to solve their research problems using software such as MATLAB, NEST, NEURON, Python, XPP, etc. During the following three weeks the lectures cover networks and specific neural systems and functions. Topics range from modeling single cells and subcellular processes through the simulation of simple circuits, large neuronal networks and system level models of the brain. The course ends with project presentations by the students.
In addition, we will offer three internships to ACCN students. These fully funded internships will allow students to work, post-ACCN, on a research project in a faculty member's lab for up to three months. Applications for internships will be considered after the ACCN.
The course is designed for students from a variety of disciplines, including neuroscience, physics, electrical engineering, computer science, mathematics and psychology. Students are expected to have a keen interest and basic background in neurobiology as well as some computer experience. Students of any nationality can apply.
A maximum of 30 students will be accepted. The current fee for the course will be EUR 500; this will cover tuition, lodging, breakfast and dinner. There will be a limited number of course fee scholarships and travel stipends available for students who need financial help for attending the course. We specifically encourage applications from researchers who work in the developing world.
Applications for the ACCN, including a description of the target project, must be submitted electronically (see below) and will need to be accompanied by the names and email details of two referees who have agreed to furnish references. Applicants will need to ensure that their referees have submitted their references. Applications will be assessed by a committee, with selection being based on the following criteria: the scientific quality of the candidate (CV) and of the project, the recommendation letters, and evidence that the course will afford substantial benefit to the candidate.
Please apply electronically using a web browser.
For more information and access to the application database go to:
Bernstein Center Freiburg
August 14-29th 2010, Marine Biology Laboratory, Woods Hole, MA, USA
Application deadline: April 16th 2010
The objective of this two week course is to develop an understanding of the methods of managing and analyzing data sets from neurophysiological and behavioral measurements, particularly large data volumes that require systematic statistical and computational approaches. The course includes lectures on fundamental analytical methods, established and emerging applications and focused hands-on computer-based sessions. Topics include point processes (e.g., spike trains), continuous processes (e.g., LFP/ECoG/EEG/MEG recordings, fMRI, and behavioral recordings), and methods for analyzing neuroanatomical (e.g., light and electron microscopy) data. Various statistical techniques for exploratory and confirmatory analysis of the data will be treated along with underlying scientific questions and potential applications. The course also includes tutorials on computer methods and discussions of major open issues in the field.
The course is targeted broadly, from experimental researchers to researchers with a theoretical or analytical orientation who work closely with data. A main aim of the course is to foster close working relations between the theorists and experimentalists. Researchers at all levels, from advanced graduate student to working professional, may benefit from the course.
Application deadline is April 16, 2010. Limited to 26 participants.
Computer Laboratory: A hands-on approach will be taken in a computer laboratory that forms an integral part of this course. Example data sets will be supplied, and participants are encouraged to bring their own data. We will primarily use MATLAB, with additional tools used as needed (e.g., MySQL). Participants will be guided in applying analytical techniques to the example data sets and will further participate in a structured "data analysis challenge", in which teams will analyze published data sets in the context of specific questions. This should benefit both experimental researchers that wish to analyze their own data sets and theorists who want to work with data.
Structure of the Course: The first week will contain lectures dealing with fundamental statistical and analytical techniques appropriate for neural data analysis. A concurrent computer laboratory will run in the evenings to supplement the lectures. The second week contains application-based lectures, focused on emerging research areas and associated analytical and experimental techniques, along with the "data analysis challenge".