neu241 - Computational Neuroscience - Introduction - Campusmanagementsystem Stud.IP

neu241 - Computational Neuroscience - Introduction

Department für Neurowissenschaften

12 KP

Modulteile

Semesterveranstaltungen Wintersemester 2018/2019

Prüfungsleistung

Vorlesung

6.03.241 - Computational Neuroscience - Introduction
- Prof. Dr. Martin Greschner
- Apl. Prof. Dr. Jannis Hildebrandt
- Prof. Dr. Jutta Kretzberg
- Dr. Go Ashida
Montag: 09:00 - 16:00, wöchentlich (ab 03.12.2018)
Dienstag: 09:00 - 16:00, wöchentlich (ab 04.12.2018)
Mittwoch: 09:00 - 16:00, wöchentlich (ab 05.12.2018)
Donnerstag: 09:00 - 16:00, wöchentlich (ab 06.12.2018)
Freitag: 09:00 - 16:00, wöchentlich (ab 07.12.2018)
Termine am Dienstag, 09.10.2018 12:30 - 13:00
Content of the module: The topics - Biophysical neuron models - Network models - Spike train analysis - Statistical learning in neuroscience - Statistical learning for the analysis of neuronal population activity will be introduced in lectures, discussed in depth using selected literature in the seminar and consolidated in computer-based hands-on exercises.

Seminar

6.03.241 - Computational Neuroscience - Introduction
- Prof. Dr. Martin Greschner
- Apl. Prof. Dr. Jannis Hildebrandt
- Prof. Dr. Jutta Kretzberg
- Dr. Go Ashida
Montag: 09:00 - 16:00, wöchentlich (ab 03.12.2018)
Dienstag: 09:00 - 16:00, wöchentlich (ab 04.12.2018)
Mittwoch: 09:00 - 16:00, wöchentlich (ab 05.12.2018)
Donnerstag: 09:00 - 16:00, wöchentlich (ab 06.12.2018)
Freitag: 09:00 - 16:00, wöchentlich (ab 07.12.2018)
Termine am Dienstag, 09.10.2018 12:30 - 13:00
Content of the module: The topics - Biophysical neuron models - Network models - Spike train analysis - Statistical learning in neuroscience - Statistical learning for the analysis of neuronal population activity will be introduced in lectures, discussed in depth using selected literature in the seminar and consolidated in computer-based hands-on exercises.

Übung

6.03.241 - Computational Neuroscience - Introduction
- Prof. Dr. Martin Greschner
- Apl. Prof. Dr. Jannis Hildebrandt
- Prof. Dr. Jutta Kretzberg
- Dr. Go Ashida
Montag: 09:00 - 16:00, wöchentlich (ab 03.12.2018)
Dienstag: 09:00 - 16:00, wöchentlich (ab 04.12.2018)
Mittwoch: 09:00 - 16:00, wöchentlich (ab 05.12.2018)
Donnerstag: 09:00 - 16:00, wöchentlich (ab 06.12.2018)
Freitag: 09:00 - 16:00, wöchentlich (ab 07.12.2018)
Termine am Dienstag, 09.10.2018 12:30 - 13:00
Content of the module: The topics - Biophysical neuron models - Network models - Spike train analysis - Statistical learning in neuroscience - Statistical learning for the analysis of neuronal population activity will be introduced in lectures, discussed in depth using selected literature in the seminar and consolidated in computer-based hands-on exercises.

Hinweise zum Modul

Teilnahmevoraussetzungen	Programming experience in Matlab (e.g. acquired by a 6 ECTS programming course)
Kapazität/Teilnehmerzahl	18 ( Registration procedure / selection criteria: StudIP; sequence of registration, attandance in pre-meeting Recommended in combination with: neu770 Neuroscientific data analysis in Matlab (prior to the course) neu250 Computational Neuroscience - Statistical Learning (after the course) )
Prüfungszeiten	during the course
Prüfungsleistung Modul	Portfolio, consisting of daily short tests, programming exercises, short reports
Kompetenzziele	++ Neurosci. knowlg. + Scient. Literature + Social skills ++ Interdiscipl. knowlg ++ Maths/Stats/Progr. + Data present./disc. + Scientific EnglishUpon successful completion of this course, students • are able to implement and apply algorithms in Matlab • have learned to handle scientific data independently • have acquired theoretical and practical knowledge of advanced data analyis techniques • know about computational model approaches on different levels of abstraction • know how to perform model simulations for single cells and small neuronal networks • can interpret simulation results in a neuroscientific context