MF9150 - Essentials of Neurophysiology: from neurons to circuits to behaviours

Schedule, syllabus and examination date

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Course content

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.

Learning outcome

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.

Admission

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.

Applicants who are admitted to a PhD programme or the Medical Student Research Programme at UiO apply for PhD courses in medicine and health Sciences in StudentWeb from 1. June to 1. September.

Applicants who are not admitted to a PhD programme or the Medical Student Research Programme at UiO must apply for a right to study in SĂžknadsWeb before they can apply for PhD courses in medicine and health sciences.

Applicants will be notified by email 1 - 2 weeks after the final date for registration.

Prerequisites

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.

Teaching

Course period 10.10.- 17.10.2016

This is a 6 days course 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

You have to participate in at least 80 % of the teaching to be allowed to take the exam. Attendance will be registered.

Examination

A take-home exam will be given at the end of the course. Grading: Pass/fail.

Explanations and appeals

Evaluation

The course is subject to continuous evaluation. At regular intervals we also ask students to participate in a more comprehensive evaluation.

Facts about this course

Credits

5

Level

PhD

Teaching

Every autumn

10.10. - 17.10.2016

Examination

Every autumn

Teaching language

English