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Neuroinformatics


Prof Iiro Jääskeläinen Innopoli 2, Tekniikantie 14 Tel. 451 5736 Iiro.Jaaskelainen@hut.fi
Acad. prof Mikko Sams Innopoli 2, Tekniikantie 14 Tel. 451 4848 Mikko.Sams@hut.fi
Acad. prof Kimmo Kaski Innopoli 2, Tekniikantie 14 Tel. 451 4825 Kimmo.Kaski@hut.fi

Introduction

Neuroinformatics is a relatively new discipline bridging information technology and the neurosciences. The field of neuroinformatics is vast. Information technology has been used in databasing neuroscientific research information, thus enabling data mining, meta analyses as well as development and validation of computational models. In addition, information technology has been used to develop computational models of brain as well as algorithms for data analysis.

Utilization of information technology in neurosciences enables technological leaps comparable to mapping of the human genome. For instance, when developing a drug affecting the central nervous system, it is possible to predict therapeutic and side effects by analyzing the changes in the computational model of the nervous tissue. Computational models also enable novel insights in the design of artificial senses and robotics, unlike results of traditional descriptive neuroscience. The availability of neuroscientific research information in internet databases enables extensive and extremely fast testing of hypotheses derived from computational models.

Computational engineering, cognitive technology and, for example, networking technology suit well as minors complementing neuroinformatics.

Structure of the Major / Minor

Preliminary plan for the structure of the major:

Obligatory studies 12 cr
S-114.801 Neuroinformatics (3 cr)
S-114.811 Computational Neuroscience (3 cr)
Tfy-99.263 Living State Physics II (Electrophysiology)* (3 cr)
T-76.143 Database Management (3 cr)
Choose from the following list to get total 20 cr
Tfy-99.264 Living State Physics III (Molecular Biophysics) (3 cr) L
T-61.261 Principles of Neural Computing (3 cr)
T-61.263 Advanced Course in Neural Computing (3 cr)
S.114.600 Introduction to Bayesian Modeling (2 cr)
Kem-30.506 Methods in Molecular Biology II (Laboratory course) (2-4 cr)
T-79.230 Foundations of Agent-Based Computing (3 cr)
T-106.233 Basic Course in Programming 2 (4 cr)
T-111.301 Fundamentals of Computer Graphics (2 cr)
S-38.188 Computer Networks (3 cr)
T-106.253 Data Structures and Algorithms Y (3 cr)
S-114.240 Seminar on Computational Engineering (2 cr)

*Choose from the list below to replace the course, if the course already belongs to degree or option studies.


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This page has been updated 24.11.2005
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