Kurskatalog forskarutbildning - VT24
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| Titel | Network Neuroscience |
|---|---|
| Kursnummer | 5697 |
| Program | Neurovetenskap |
| Språk | Engelska |
| Antal högskolepoäng | 1.5 |
| Datum | 2023-10-02 -- 2023-10-26 | Kursansvarig institution | Institutionen för klinisk neurovetenskap |
| Särskild behörighet | Basic knowledge of brain imaging |
| Kursens syfte | The purpose of this course is to provide students with the foundations of network theory. This course will cover all aspects of creating network models from neuroimaging data (theory, assumptions, visualization, and quantifying models). |
| Kursens lärandemål | After the course, the doctoral student shall have obtained a thorough knowledge about core concepts about network neuroscience. This includes to be able to: 1) create network models; 2) apply and interpret network measures calculated from models (centrality measures, shortest paths, community detection etc); 3) implement a network analysis and visualize the results; 4) show understanding about how network models have been applied within the neurosciences; 5) show understanding about how network models relate to theory; 6) apply recent developments within network neuroscience including multilayer connectivity and deep learning analyses of brain networks |
| Kursens innehåll | The basics of network models, measures to quantify networks, history of network science and applications of network models in neuroscience, exercises in how to construct network models in the second version of our software BRAPH (Brain Analysis using Graph Theory; http://braph.org/) and recent developments in network neuroscience. Each student will also do an individual research project applying elements from the course onto data, which can be provided by the organizers or by the student’s own PhD projects. |
| Arbetsformer | Lectures, seminars, demonstrations, laboratory exercises, individual mini research project, oral presentation, short written report. |
| Obligatoriska moment | Mandatory attendance to lectures and presentation. Absence during lectures will require completing supplementary written tasks. |
| Examination | Individual mini research project. This can be carried out on the student’s own data or open data provided. The analysis should be presented in a 10 minute presentation. The students are also required to submit a short written report on their project. |
| Kurslitteratur och övriga läromedel | Selected original research and review papers will be distributed well in advance of the course. |
| Antal studenter | 8 - 20 |
| Urval av studenter | Selection will be based on 1) the relevance of the course syllabus for the applicant's doctoral project (according to written motivation), 2) start date of doctoral studies (priority given to earlier start date) |
| Övrig information | Course schedule: 02/10/2023. 09:00 to 15:00 05/10/2023. 09:00 to 15:00 06/10/2023. 09:00 to 15:00 09/10/2023. 09:00 to 15:00 13/10/2023. 09:00 to 15:00 26/10/2023. 09:00 to 15:00 - Examination Course Location: Stora Sammanträdesrummet, Nobels Väg 9, 4th floor, KI Solna. |
| Ytterligare kursledare | Peter Fransson |
| Senaste kursvärdering | Not available |
| Kursansvarig |
Joana Braga Pereira Institutionen för klinisk neurovetenskap joana.pereira@ki.se |
| Kontaktpersoner | - |
