Research Group Matthias Kaschube - Teaching
Theoretical Neuroscience I
Winter Semester 2020/2021
Instructor: Matthias Kaschube
This course is an online course. You can enrol here:
Machine Learning I
Winter Semester 2020/2021
Instructor: Matthias Kaschube
This course is an online course. You can enrol here:
Seminar Computational Neuroscience
Winter Semester 2020/2021
Instructor: Matthias Kaschube
This course is an online course. You can enrol here:
Previous Semesters
Machine Learning II
Summer Semester 2020
Instructor: Matthias Kaschube
This course is an online course. You can enrol here:
Seminar Computational Neuroscience
Summer Semester 2020
Instructor: Matthias Kaschube
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:
Seminar Pattern Analysis and Machine Intelligence
Summer Semester 2020
Instructor: Matthias Kaschube
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
Winter Semester 2019/2020
Instructor: Matthias Kaschube
Time: Thursday 10:00-11:30,
Room: Robert Mayer Straße 11, SR 11
Papers
Machine Learning I
Winter Semester 2019/2020
Instructors: Nils Bertschinger and Matthias Kaschube
Pattern Analysis and Machine Inteligence
Winter Semester 2019/2020
Instructors: Nils Bertschinger, Matthias Kaschube, Visvanathan Ramesh
Theoretical Neuroscience I
Winter Semester 2019/2020
Instructor: Matthias Kaschube
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
Date | Lecture | Problem Set | Tutorial |
---|---|---|---|
2019-10-18 | Week #1 [slides] [organisation] |
- | - |
2019-10-25 | Week #2 [Slides] |
- | Tutorial 1 [Slides] |
2019-11-01 | Week #3 [Slides] |
Problem Set #1 [pdf] |
Tutorial 2 [Slides] |
2019-11-08 | Week #4 [Slides] |
Problem Set #2 [pdf] |
- |
2019-11-15 | Week #5 [Slides] |
Problem Set #3 [pdf] |
- |
2019-11-22 | Week #6 [Slides] |
Problem Set #4 [pdf] |
- |
2019-11-29 | Week #7 [Slides] |
Problem Set #5 [pdf] |
Solution Problem Set #3 [pdf] |
2019-12-06 | Week #8 [Slides] |
Peoblem Set #6 [pdf] |
- |
2019-12-13 | Week #9 [Slides] |
Problem Set #7 [pdf] [material] |
- |
2019-12-20 | Week #10 [Slides] |
- | - |
2020-01-17 | Week #11 [Slides] |
Problem Set #8 [pdf] |
- |
2020-01-24 | Week #12 [Slides] |
Problem Set #9 [pdf] |
- |
2020-01-31 | Week #13 [Slides] |
Problem Set #10 [pdf] |
- |
2020-02-07 | Week #14 [Slides] |
- | Solution Problem Set #9 [pdf] |
Machine Learning II
Summer Semester 2018
Instructors: Nils Bertschinger, Matthias Kaschube
Lecture: 16:15-17:45, Neue Mensa - NM 113
Tutorial: 14:15 - 15:45, Neue Mensa - NM 114
Theoretical Neuroscience II
Summer Semester 2018
Instructor: Matthias Kaschube
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
Date | Lecture | Problem Set | Tutorial |
---|---|---|---|
2018-04-13 | - |
- | - |
2018-04-20 | Week #2 [slides] |
- | - |
2018-04-27 | Week #3 [slides] |
- | - |
2018-05-04 | Week #4 [slides] |
Set #1 [pdf] |
Differential Equations [slides] |
2018-05-11 | Week #5 [slides] |
- | Fourier Transform [slides] |
2018-05-18 | Week #6 [slides] |
Set #2 [pdf] |
- |
2018-05-25 | Week #7 [slides] |
Set #3 [pdf] |
- |
2018-06-01 | Week #8 [slides] |
- |
- |
2018-06-08 | Week #9 [slides] |
- | - |
2018-06-15 | Week #10 [slides] |
Set #4 [pdf] |
- |
2018-06-22 | Week #11 [slides] | Set #5 [pdf] |
- |
Machine Learning I
Wintersemester 2017/2018
Instructors: Matthias Kaschube, Nils Bertschinger
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
Date | Lecture | Problem Set | Tutorial |
---|---|---|---|
2017-10-17 | - | - | |
2017-10-24 | week2.pdf | Exercise 1 | Linear Algebra |
2017-10-31 | Reformation Day Holiday | ||
2017-11-07 | week3.pdf | Exercise 2 | Exercises |
2017-11-14 | week4.pdf | - | - |
2017-11-21 | week5.pdf | Exercise 3 | How-To: Posterior Distribution |
2017-11-28 | week6.pdf | Exercise 4 | How-To: Linear Model |
2017-12-05 | week7.pdf | Exercise 5 | |
2017-12-11 | week8.pdf | Exercise 6 | |
2017-12-19 | week9.pdf | Exercise 7 | Training Data |
2018-01-09 | week10.pdf | - | - |
2018-01-16 | week11.pdf | Exercise 8 | |
2018-01-23 | week12.pdf | Minimal Solution for Exercise 7 | |
2018-01-30 | week13.pdf | Tensor Flow Introduction |
Theoretical Neuroscience I
Winter Semester 2017/2018
Instructors: Matthias Kaschube, Jochen Triesch
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
Date | Lecture | Problem Set | Tutorial |
---|---|---|---|
2017-10-20 | - | - | |
2017-10-27 | Week #2 | Set #1 | DGLs/FourierTransform |
2017-11-03 | Week #3 | Set #2 | - |
2017-11-10 | Week #4 | Set #3 | - |
2017-11-17 | Week #5 | Set #4 | - |
2017-11-24 | - | Set #5 | - |
2016-12-01 | Week #6 | Set #6 | neuron.mat experiment.m |
2016-12-08 | Week #7 | - | - |
2016-12-15 | - | - | - |
2016-12-22 | Week #8 | Set #7 | - |
2017-12-29 | - | - | - |
2018-01-05 | - | - | - |
2018-01-12 | Week #9 | Set #8 | - |
2018-01-19 | Week #10 | Set #9 | - |
2018-01-26 | Week #11 | Set #10 | - |
2018-02-02 | Week #12 | Set #11 | - |
2018-02-09 | Week #13 | - | - |