## Lecture Series, 14./15./17. September 2009## Computational Neuroscience## Richard Kempter, Jakob Heinzle, Susanne Schreiber, Martin Nawrot |

**Lecturers**:

Prof. Dr. Richard Kempter

Dr. Jakob Heinzle

Dr. Susanne Schreiber

Prof. Dr. Martin Nawrot

**Dates**: 14/15/17 September 2009

**Times:**

Morning lectures: 9:15-10:45h and 11:00-12:30h

Afternoon lectures: 13:30-15:00 and 15:15-16:45h

A break of up to 15 minutes might be added to each lecture. A slightly different schedule can be agreed upon on a day-by-day basis.

**Location:**

Lecture Hall of the
Bernstein Center for Computational Neurosciences Berlin, Haus 6,
Philippstr. 13.

The course provides an introduction into selected basic concepts of Computational Neuroscience. The participating students will get to know examples of computational models on several levels of abstraction, from single cells to large networks, including some aspects of learning and neural coding. The main goal is to teach specific fundamental computational principles that are often encountered in cortical processing.

**Requirements:**

Some basic math on the level of a high-school
diploma / Abitur, i.e. elementary functions such as cosine, sine, and
the exponential function is necessary. You should be able to calculate
derivatives, and you should know what an integral is. You should be
able to solve simple equations with one unknown. Please consult your
old math school books or some elementary algebra books. Familiarity
with some basic neuroscience concepts is also required. For instance,
we assume that you know what a neuron is.

**Tentative Schedule and Course Material:**

You might want to check this web page occasionally for updates.

Date | Time | Topic | Course Material | Lecturer |

Mathematics |
Exercises, Solutions | Jakob Heinzle | ||

14.09. | Morning 1 | Introduction to Computational Neuroscience |
Introduction | Richard Kempter |

Morning 2 | Models of single neurons (membranes, integrate-and-fire) |
Membranes and IaF | Jakob Heinzle | |

Afternoon 1 | Models of single neurons (type I and II, McCulloch-Pitts) |
Jakob Heinzle | ||

Afternoon 2 | The neural code |
Neural Code | Richard Kempter | |

15.09. | Morning 1 | Models of single neurons (Hodgkin-Huxley) |
Hodgkin-Huxley | Susanne Schreiber |

Morning 2 | Models of single neurons (resonance and oscillations) |
Susanne Schreiber | ||

Afternoon 1 | Models of neural networks (feed-forward) |
Networks | Richard Kempter | |

Afternoon 2 | Models of neural networks (recurrent) |
Richard Kempter | ||

16.09. | (no lectures) |
|||

17.09. | Morning 1 | Models and analysis of spike trains |
Martin Nawrot | |

Morning 2 | Models and analysis of spike trains |
Martin Nawrot | ||

Afternoon 1 | Models of plasticity |
Plasticity | Richard Kempter | |

Afternoon 2 | Models of plasticity |
Richard Kempter |

**Background material:**

P. Dayan and L.F. Abbott (2001)
*Theoretical Neuroscience*.
MIT Press, Cambridge, Massachusetts.

Mark F. Bear, Barry Connors, and Michael Paradiso (2001)
*Neuroscience: Exploring the Brain*.
Lippincott Williams and Wilkins, Baltimore, MD.

Thomas P. Trappenberg (2002)
*Fundamentals of Computational Neuroscience*.
Oxford University Press, Oxford, UK.