Kaisa_2012_3_photo by Veikko Somerpuro

Enrol
1.4.2018 at 08:00 - 23.10.2018 at 23:59
Moodle
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Timetable

Here is the course’s teaching schedule. Check the description for possible other schedules.

DateTimeLocation
Mon 22.10.2018
09:00 - 16:00
Tue 23.10.2018
09:00 - 12:00
Tue 23.10.2018
12:00 - 16:00
Fri 9.11.2018
16:00 - 18:00
Thu 29.11.2018
15:00 - 17:00

Material

Reading for Computational Neuroscience course

Description

After completing the thesis process, the student….

  • Knows concepts of theoretical neuroscience and contemporary models of mammalian brain structure and function; understands benefit of model-based experimental neuroscience; learns prominent neural simulation platforms; learns the basics of multidimensional data analysis; knows likely application in clinical medicine
  • The aim is to evoke interest in the field to target further self-learning towards relevant individual application area.

Exam will be arranged on November 9th and a possibility for re-examination will be provided in November-December.

Thematic seminar meetings as listed below, including preceding review article as preparatory material, lecture (45 min) and seminar-type discussion (45 min)

Introduction

-history, motivation, aim, clinical potential

Modeling neural function

-biophysics

-models for synapse, membrane, cell and systems

Simulating neural systems

-simulation platforms (NEST, NEURON, Brian2) and their strengths and weaknesses

Analyzing high-dimensional data

-introduction to relevant statistics and math for bioscientists

-PCA, ICA, GLM, deep learning

Software and hardware implementation of the models

-restrictions and potential of distinct computer platforms, brain-computer interface, embedded systems

Neuroinformatics

-motivation, platforms, comparative neurobiology

Computational neurology and psychiatry

-introduction to human brain as an organ and as a network

-epilepsy, schizophrenia models, simulation platform: the Virtual Brain

Course completion methods (3 credits):

  1. Pre-reading before the course: review articles on course topics (provided at the course Moodle page)
  2. Lectures during October 22-23, 2018
  3. Exam on a later specified date.

Evaluation 0-5, exam, activity in seminars, seminar presentations

  • Seminar meetings/lectures (compulsory participation)
  • Course, review articles, book exam
  • The course consists of approximately 20h of contact teaching and 100 h of independent studying.

Simo Vanni, other teachers: Juha Voipio, Jugoslava Acimovic (Tampere University of Technology), Marja-Leena Linne (Tampere University of Technology), Linda Henriksson (Aalto University)