neu246 - Computational Neuroscience - Biophysical Modeling (Course overview)

neu246 - Computational Neuroscience - Biophysical Modeling (Course overview)

Department of Neurosciences 6 KP
Module components Semester courses Winter semester 2024/2025 Examination
Lecture
  • Limited access 6.03.246 - Computational Neuroscience - Biophysical Modeling Show lecturers
    • Prof. Dr. Jutta Kretzberg
    • Dr. Go Ashida
    • Daniela Antonia Schwarz

    Dates on Wednesday, 04.12.2024 10:00 - 16:00, Friday, 06.12.2024 09:00 - 12:00, Wednesday, 11.12.2024 10:00 - 16:00, Friday, 13.12.2024 09:00 - 12:00, Wednesday, 18.12.2024 10:00 - 16:00, Friday, 20.12.2024 09:00 - 12:00, Wednesday, 08.01.2025 10:00 - 16:00, Friday, 10.01.2025 09:00 - 12:00, Wednesday, 15.01.2025 10:00 - 16:00, Friday, 17.01.2025 09:00 - 12:00 ...(more)
Exercises
  • Limited access 6.03.246 - Computational Neuroscience - Biophysical Modeling Show lecturers
    • Prof. Dr. Jutta Kretzberg
    • Dr. Go Ashida
    • Daniela Antonia Schwarz

    Dates on Wednesday, 04.12.2024 10:00 - 16:00, Friday, 06.12.2024 09:00 - 12:00, Wednesday, 11.12.2024 10:00 - 16:00, Friday, 13.12.2024 09:00 - 12:00, Wednesday, 18.12.2024 10:00 - 16:00, Friday, 20.12.2024 09:00 - 12:00, Wednesday, 08.01.2025 10:00 - 16:00, Friday, 10.01.2025 09:00 - 12:00, Wednesday, 15.01.2025 10:00 - 16:00, Friday, 17.01.2025 09:00 - 12:00 ...(more)
Notes on the module
Prerequisites
Enrolment in Master program Neuroscience

Students from other study programs are welcome if space is available
This module requires good programming skills! (As taught in neu710 or neu715.)
Kapazität/Teilnehmerzahl 18
Prüfungszeiten
During the course (assignment tasks)
Module examination
Portfolio, consisting of short tests, programming tasks, and interpretation of modeling / data analysis results
Skills to be acquired in this module

Goals of this module:

upon completion of this module, students…
- are able to implement and apply algorithms in Matlab
- have programmed and applied simulation 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

Skills to be acquired/ competencies:

++          Neuroscience knowledge
+            Scientific Literature
+            Social skills
++          Maths/Stats/Programming
+            Data presentation/discussion
+            Scientific English