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28.11.2021 19:20:37
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 Wintersemester 2021/2022
Current number of participants 3
expected number of participants 8
Home institute Department of Neurosciences
Courses type Exercises in category Teaching
Next date Tue., 30.11.2021 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 (8x)
Thursday: 14:15 - 15:45, weekly (8x)


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.

Registration mode

After enrolment, participants will manually be selected.

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