Computational Neuroscience: Vision and Memory

This lecture presents models of selforganization in neural systems, in particular addressing vision (receptive fields, neural maps, invariances, attention) and associative memory (Hopfield network).

Lecturers

Details

Course type
Lectures
Credits
6 CP
Term
Summer Term 2015

Dates

Lecture
Takes place every week on Tuesday from 12:15 to 13:45 in room NB 3/57.
First appointment is on 07.04.2015
Exercise
Takes place every week on Tuesday from 10:30 to 12:00 in room NB 3/57.
First appointment is on 14.04.2015

Requirements

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