Projekt neuronale Informationsverarbeitung

© Mohr, NI, TUB

During this course, participants work on a scientific project of limited scope under the supervision of an experienced researcher. Project topics vary every semester, but are always related to the current research projects of the Neural Information Processing Group. In the past, topics were selected from research fields including the modeling of neural systems, machine learning, artificial neural network and their application, and from the analysis of neural data. During the course, students will read original publications, learn how to prepare and present a brief project proposal, learn how to scientifically address a complex problem, learn how to discuss and defend their findings during a scientific poster session, and a how to compile their results in form of a typical conference paper. This course also includes a seminar part.

Projects for summer term 2012

Title: Analysis of risk-sensitive human behavior

Supervisor: Yun Shen

It is a daily task for human beings to make decisions concerning with risk because life is full of uncertainties. For example, you don't know exactly tomorrow's weather; you don't know whether there will be an accident or not when driving home. You don't know either which kind of problems you will face if you decide to participate this research project. :) Well, the route of this project is to some extent certain: we shall apply computational models to investigate the mechanism of human being's decision making center in brain by analyzing behavior data and brain imaging data as well. The data are taken from experiments done by colleagues from collaborating institutes, where human subjects are asked to finish some simple sequential decision making tasks.

Title: Towards realistic synaptic time courses in a mean-field neural network model

Supervisors: Moritz Augustin and Josef Ladenbauer

Project description

Title: Neural network analysis of spiketrain data from visual cortex

Supervisor: Timm Lochmann

Project description at initial meeting

Title: Modeling parallel LGN afferent input channel for mouse primary visual cortex

Supervisor: Dipanjan Roy

Project description at initial meeting

Details will be explained during the initial course meeting on Tue, April 10, 12:00 in FR2521