Computational Neuroscience: Vision and Memory
Due to the corona crisis this course will be offered as an online course in SS 2020.
I offer a pre-meeting 17.4. 11:00 to get used to the virtual room I am going to use and discuss the format.
Mor information is available at the moodle course, where RUB students should be able to log in without password.
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
Prof. Dr. Laurenz WiskottLecturer |
(+49) 234-32-27997 laurenz.wiskott@ini.rub.de NB 3/29 |
Details
- Course type
- Lectures
- Credits
- 6 CP
- Term
- Summer Term 2020
- E-Learning
- moodle course available
Dates
- Lecture
-
Takes place
every week on Tuesday from 12:15 to 13:45 in room virtual.
First appointment is on 21.04.2020
Last appointment is on 14.07.2020 - Exercise
-
Takes place
every week on Tuesday from 10:30 to 12:00 in room virtual.
First appointment is on 28.04.2020
Last appointment is on 14.07.2020
Requirements
Good mathematical skills, linear algebra and calculus
Documents
| Link | Moodle course page: https://moodle.ruhr-uni-bochum.de/m/course/view.php?id=26613 |
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