MF9150 - Essentials of Neurophysiology: from neurons to circuits to behaviours
Schedule, syllabus and examination date
For students interested in the nervous system, this course in neurophysiology covers the basic principles of neuron signalling and interactions that underlie brain function, spanning from the function of individual neurons to the function of neuronal circuits that produce behaviour.
Topics to be covered include neuron morphology, basic electrical properties, ion channels, action potential propagation, synaptic physiology, synaptic integration, and neuronal circuit configuration and function.
The course provides a platform for continued studies in neuroscience as the participants will acquire an understanding of the basic principles underlying the operation of functional CNS networks. The course is also suitable for students from the fields of chemistry, biology, immunology, pharmacology, psychology, informatics and biotechnology. The participants will also be introduced to a simulation environment for modelling individual neurons and networks of neurons.
Following a short introduction of their research activity, top-researchers in neuroscience will be giving the lectures and leading the group discussions. This will provide students with a unique opportunity to get to know and discuss with expert neuroscientists.
Ph.D. candidates and students at the Medical Student Research Programme will get first priority to the course. The maximum number of participant is 20.
The Studentweb is open for registration from 1st June to 1st September.
Registration for applicants without access to the StudentWeb from 1st June to 1st September.
Applicants will be notified by email 1 - 2 weeks after the final date for registration.
Recommended previous knowledge
No recommended prior knowledge but in preparation for the course the participants should set aside some time for reading suggested literature (textbook chapters and recent reviews). The list of suggested readings will be provided 2 weeks before the start of the course.
This is a full week course (5 consecutive days) followed by a take-home examination. The teaching will be divided between lectures, morning group discussions and practical hands-on sessions with the modelling software NEURON which is freely available.
NB! You have to participate in at least 80 % of the teaching to be allowed to take the exam. Attendance at lectures will be registered.
A take-home exam will be given at the end of the course. Grading: Pass/fail.
Explanations and appeals
Feedback from our students is essential to us in our efforts to ensure and further improve the high quality of our programmes and courses. All courses are subject to continuous evaluation. At regular intervals we also ask students on a particular course to participate in a more comprehensive, periodic evaluation of this course.