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

Lecturers

Details

Course type
Lectures
Credits
6 CP
Term
Summer Term 2021
E-Learning
moodle course available

Dates

Lecture
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
Exercise
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

Requirements

Good mathematical skills, linear algebra and calculus

About the INI

The Institut für Neuroinformatik (INI) is a research unit of the Faculty of Computer Science at the Ruhr-Universität Bochum. Its scientific goal is to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory and 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 psychology and neurophysiology as well as machine learning, neural artificial intelligence, computer vision, and robotics.

Contact

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

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

sekretariat@ini.rub.de
www.ini.rub.de