Stud.IP Uni Oldenburg
Universität Oldenburg
08.12.2022 11:14:40
neu345 - Neural Computation in Invertebrate Systems (Vollständige Modulbeschreibung)
Originalfassung Englisch PDF Download
Modulbezeichnung Neural Computation in Invertebrate Systems
Modulkürzel neu345
Kreditpunkte 6.0 KP
Workload 180 h

2 SWS Seminar
Total workload 72 h: 28 h contact / 15 h background literature reading, 14 h online science communication workshop, 15 h preparation for the presentation of results as scientific poster

3 SWS Supervised exercise
Total workload 108 h: 42 h contact / 66 h independent lab-work, self-organized team work, data analysis, and preparation of results figures and texts)

Einrichtungsverzeichnis Department für Neurowissenschaften
Verwendbarkeit des Moduls
  • Master Neuroscience (Master) > Background Modules
Zuständige Personen
Kretzberg, Jutta (Modulverantwortung)
Kretzberg, Jutta (Prüfungsberechtigt)

Upon successful completion of this course, students

  • have planned and conducted a small, self-defined and self-organized project in a team
  • have knowledge on an invertebrate neuronal system
  • have knowledge on neural coding and corresponding data analysis techniques
  • have acquired skills in data analysis and / or experimental techniques and / or modeling
  • are able to critically evaluate and discuss experimental results
  • have prepared and presented a scientific poster

+ Neurosci. knowlg.

+ Expt. Methods

++ Independent research

+ Scient. Literature

++ Social Skills

+ Maths/Stats/Progr.

++ Data present./disc.

+ Scientific English

+ Ethics


This module builds up on the knowledge and methods acquired in the module neu340 Invertebrate Neuroscience.

In the seminar, the knowledge on invertebrate systems and neural coding in general is deepened based on scientific literature.

In the practical exercise of the module, students can choose one topic from a range of different research questions on computation in the leech nervous system (e.g. comparison of different cell types, electrical and chemical synaptic connections, exact measurement of spike threshold, phase locking). Small groups (2-3) of students plan, perform, and analyze experiments (intracellular recordings) or model simulations (model framework will be provided or can be self-written based on module neu241 computational neuroscience - Introduction) to tackle their topic. The portfolio consists of assignments covering the planning, analysis, interpretation, and presentation of the results with feedback given during the course on each project stage.

Course scripts and background and seminar literature will be available in Stud.IP. Scientific literature discussed in the seminar depends on the project topics.
Unterrichtssprache Englisch
Dauer in Semestern 1 Semester
Angebotsrhythmus Modul
Aufnahmekapazität Modul 12 (but only 6 for experimental projects)
Modullevel / module level MM (Mastermodul / Master module)
Modulart / typ of module Wahlpflicht / Elective
Lehr-/Lernform / Teaching/Learning method
Vorkenntnisse / Previous knowledge neu 340 invertebrate neuroscience
Lehrveranstaltungsform Kommentar SWS Angebotsrhythmus Workload Präsenz
Seminar 2 SoSe 28
Übung 3 SoSe 42
Präsenzzeit Modul insgesamt 70 h
Prüfung Prüfungszeiten Prüfungsform
During the course (summer term, second half)
Type of examination: Portfolio consisting of project plan, scientific poster, poster presentation