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402-0807-00L 6 Credits BSC , MSC , NDS D-HEST , D-PHYS , D-MAVT , D-INFK , D-BIOL , D-ITET , D-MATH , D-BSSE
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Introduction to Neuroinformatics

VVZ CR n/a

Last Updated: 2026-02-05 15:14:53

Abstract

The course provides an introduction to the functional properties of neurons. Particularly the description of membrane electrical properties (action potentials, channels), neuronal anatomy, synaptic structures, and neuronal networks. Simple models of computation, learning, and behavior will be explained. Some artificial systems (robot, chip) are presented.

Content

This course considers the structure and function of biological neural networks at various levels. The fundamental basis of the function of neural networks lies in the electro-chemical properties of biological membranes. Here the mechanisms of sensory transduction and the generation and transmission of nerve impulses along nerve fibres will be considered. The biological structure of the nerve cell will be described and simplifying models will be developed in order to understand the electrical current flow through simple dendritic cables and the influence of the more complex geometry of neurons on this current flow. The concept of local neuronal circuits will be introduced by considering the rules governing the formation of nerve connections and topographic projections within the nervous system. Communication between neurons in the network will be considered in the context of information flow across synapses and its modification by experience. The action of inhibitory and excitatory neurotransmitters and neuromodulators will be analysed so that the dynamics and logic of synaptic function can be discussed. The neural architectures of feedforward and recurrent networks will be developed so that issues of co-ordination, control, and integration of sensory and motor information in neural networks can be considered.

General Information

Language
English
Levels
BSC , MSC , NDS
Frequency
Yearly recurring

Examination

Type
session examination
Mode
oral 15 minutes

Course Components

Type Title Time & Place Hours
lecture Introduction to Neuroinformatics
gemeinsam mit der Uni Zürich
  • Wed 10:15-12:00 (Y35 F 32)
2 h weekly
exercise Introduction to Neuroinformatics
gemeinsam mit der Uni Zürich
  • Wed 13:00-13:45 (Y35 F 32)
1 h weekly

Offered In