Machine Learning I

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Seminar Computational Neuroscience

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Seminar Pattern Analysis and Machine Intelligence

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Einführung in die Programmierung

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Grundlagen der Programmierung

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Seminar Computational Neuroscience

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Seminar Pattern Analysis and Machine Intelligence

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Theoretical Neuroscience I

You can enrol here: moodle

Seminar Computational Neuroscience

Seminar Pattern Analysis and Machine Intelligence

You can enrol here:

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Theoretical Neuroscience 2

Machine Learning II

Seminar Computational Neuroscience

Theoretical Neuroscience I

Machine Learning II

Seminar Computational Neuroscience

Theoretical Neuroscience 2

Machine Learning I

Theoretical Neuroscience I

Machine Learning II

Seminar Computational Neuroscience

Theoretical Neuroscience 2

Theoretical Neuroscience I

This course is an online course. You can enrol here:

moodle

Machine Learning I

This course is an online course. You can enrol here:

moodle

Seminar Computational Neuroscience

This course is an online course. You can enrol here:

moodle

Machine Learning II

This course is an online course. You can enrol here:

moodle

Seminar Computational Neuroscience

This course is an online course. To enrol please send an email with your name, matriculation number and study programme to Bastian Eppler. Please include [comp_neuro] in the subject.

For further information, please use the following link:

moodle

Seminar Pattern Analysis and Machine Intelligence

This course is an online course. Further information will be provided soon.

The date for the first meeting will be communicated via email and the homepage.

Computational Neuroscience Seminar

Time: Thursday 10:00-11:30,

Room: Robert Mayer Straße 11, SR 11

QIS/LSF Entry

Machine Learning I

Link to course homepage

Pattern Analysis and Machine Inteligence

Link to course homepage

Theoretical Neuroscience I

To enroll in this course please send an email with your name, matriculation number and [TN1] in the subject to Bastian Eppler.

Lecture: 8:30 am

Exercises: 10:15 am

Room: Robert-Mayer-Straße 11, SR 307

Description

This course gives a general introduction to the field of Computational or Theoretical Neuroscience. We largely follow the text book “Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems” by P. Dayan and L.F. Abbott.

Course Contents

Lecture: 16:15-17:45, Neue Mensa - NM 113

Tutorial: 14:15 - 15:45, Neue Mensa - NM 114

QiS/LSF Entry

lecture material

Lecture: Friday 10:00–12:00

Exercises: Friday 08:30–10:00

Description

Advanced topics in theoretical neuroscience, building on the course TN - Theoretical Neuroscience. Topics include computation in neural systems, dynamical properties of neural networks, neural coding, unsupervised learning, models of development.

Course Contents

Lecture: 16:15-17:45, Magnus Hörsaal

Tutorial: 14:15 - 15:45, SR 11

Exam:   20th February, 14:00-16:00, Magnus Hörsaal   (90 min)

13th March, 14:00-16:00, Magnus Hörsaal   (90 min)

Timline

Lecture: Friday 10:15–11:45, FIAS 0.200 Campus Riedberg

Exercise: Friday 12:15–13:45, FIAS 0.200 Campus Riedberg

Description

This course gives a general introduction to the field of Computational or Theoretical Neuroscience. We largely follow the text book “Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems” by P. Dayan and L.F. Abbott.

Course Contents