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30.11.2022 05:13:38
Exercises: 6.03.243a Computational Neuroscience - Introduction (Exercises) - Details
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General information

Course name Exercises: 6.03.243a Computational Neuroscience - Introduction (Exercises)
Course number 6.03.243a
Semester WiSe21/22
Current number of participants 4
expected number of participants 8
Home institute Department of Neurosciences
Courses type Exercises in category Teaching
First date Tue., 07.12.2021 14:15 - 15:45, Room: (online/synchron)
Type/Form Ü
Pre-requisites Programming experience, preferably in Matlab
Performance record Portfolio: daily anwers to three questions on max. 1 page

Portfolio: Lerntagebuch, in dem täglich drei Fragen zum Inhalt der Veranstaltung auf max. 1 Seite beantwortet werden
Lehrsprache englisch
Miscellanea Useful combination with module 'Computational Neuroscience - Statistical learning'

Sinnvolle Kombination mit Modul 'Computational Neuroscience - Statistical Learning'
ECTS points 6

Course location / Course dates

(online/synchron) Tuesday: 14:15 - 15:45, weekly (7x)
Thursday: 14:15 - 15:45, weekly (7x)


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.

Admission settings

The course is part of admission "Anmeldung gesperrt (global)".
Erzeugt durch den Stud.IP-Support
The following rules apply for the admission:
  • The admission is locked.

Registration mode

After enrolment, participants will manually be selected.

Potential participants are given additional information before enroling to the course.