Computational Neuroscience: Vision and Memory

This lecture covers basic neurobiology and models of selforganization in neural systems, in particular addressing

  • Learning
    • Hebbian Learning
    • Neural learning dynamics and constrained optimization
    • Dynamic field theory
  • Vision 
    • Receptive fields
    • Neural maps
  • Hippocampus
    • Navigation
    • Episodic memory
    • Hopfield Network



Course type
6 CP
Summer Term 2021
moodle course available


Takes place every week on Tuesday from 12:15 to 13:45.
First appointment is on 13.04.2021
Last appointment is on 20.07.2021
Takes place every week on Tuesday from 10:30 to 12:00.
First appointment is on 20.04.2021
Last appointment is on 20.07.2021


Good mathematical skills, linear algebra and calculus

The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science, in particular machine learning, artificial intelligence, and computer vision.

Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany

Tel: (+49) 234 32-28967
Fax: (+49) 234 32-14210