SPM Course 2016

Zurich 2016 SPM Course for fMRI

Thank you all for a wonderful 10th Zurich SPM course! The talks and tutorials offered during the course can be accessed here.

BASIC

BOLD Physiology (Jakob Heinzle) Pre-processing (Lars Kasper) The General Linear Model for fMRI analyses & Tutorial (Frederike Petzschner) Statistical inference and design efficiency (Andreea Diaconescu)

Multiple comparison correction in SPMs (Justin Chumbley) Experimental design (Sandra Iglesias) Event-related fMRI (Christian Ruff) Resting state” fMRI . . . → Read More: SPM Course 2016

Translational Neuromodeling Lecture FS 2015

Lecturer: Prof. Klaas Enno Stephan

Room: ETZ F91

Time: Friday, 12:00 – 13:30

This course aims to provide students with expertise in generative modelling techniques (for neuroimaging and behavioural data) and their practical application to clinical problems in psychiatry. Everyone is very welcome. Interested students who wish to obtain credit points are asked to sign up via the respective UZH/ETH online tools.

Link to ETH page

Program

20.02.: Introduction & overview

27.02.: No lecture

06.03.: Psychiatric nosology

13.03.: General pathophysiological dimensions in psychiatry

20.03.: Bayesian inference & generative models – part 1

27.03.: Bayesian inference & generative models . . . → Read More: Translational Neuromodeling Lecture FS 2015

CPS FS 2015

Computational Psychiatry Seminar FS 2015 EEG Signal Processing: Theory and practice

Gabor Stefanics, Tina Wentz, and Klaas Enno Stephan

When: Friday 14:00 (sharp!) to 16:00, 20.02.2015 to 29.05.2015

Where: ETH Zürich, ETZ building (Gloriastrasse 35), room F 91 (F floor)

Credits: To receive credit points you must either (a) complete exercises from at least 4 chapters from Cohen 2014 (three sets of exercises from chapters 11-19, and one set from 20-34) (b) complete a Dynamic Causal Modeling exercise using SPM.

Download the full program with reading list here. Download link to the suggested literature will be sent by email. Click on the . . . → Read More: CPS FS 2015

Teaching FS 2015

TUE

Research Topics in Biomedical Engineering Tuesday, 12:00-13:00 ETZ Building, E 6

Fallkolloquium Autismus Spektrum bei Erwachsenen Dienstag 16:00-18:00 (jeweils am 3. Dienstag im Monat), Gebäude WIL, TNU Besprechungsraum F105

WED

Computational Neuroimaging Clinic  (CNC) Wednesday, 14:00-16:00, WIL Building, TNU meeting room F105

THU

TNU Colloquium Thursday, 14:00 – 16:00, WIL Building, TNU meeting room F105

FRI

Translational Neuromodeling Lecture Friday, 12:00-14:00, ETZ Building, F91 

Computational Psychiatry Seminar (CPS) Friday, 14:00-16:00, ETZ . . . → Read More: Teaching FS 2015

SPM Course 2015

Thank you all for taking part in the SPM course! The SPM 2015 lecture slides are now available online: Basic Course SPM Overview  Preprocessing The General Linear Model for fMRI analyses Statistical inference and design efficiency Multiple comparison correction in SPMs  Experimental design Modelling of hemodynamic timeseries and 2nd-level statistics “Resting state” fMRI  Practicals Scripts  Advanced Course Group analyses Advanced issues in fMRI statistics (SnPM, power, meta-analysis) Practicals Slides & Worksheet Voxel-based morphometry Multivariate analyses Computational models for fMRI analyses Bayesian model selection . . . → Read More: SPM Course 2015

Methods and Models for fMRI analysis

When: Friday 12:00 to 14:00, 19.09.2014 to 19.12.2014

Where: ETH Zürich, ETZ Building, F91 (Gloriastrasse 35, F floor, room F 91)

Program Overview:

19.09.2014  –  BOLD neurophysiology (Jakob Heinzle)

Presentation slides: Intro 2014L01_BOLD

26.09.2014  –  Spatial preprocessing of fMRI images (Lars Kasper)

Presentation slides: Signal Noise Preprocessing

03.10.2014  –  The General Linear Model for fMRI analyses (Klaas Enno Stephan)

Presentation slides: GLM

10.10.2014  –  Classical (frequentist) inference (Frederike Petzschner)

Presentation slides: Classical Inference_FP2

17.10.2014  –  no course

24.10.2014  –  Multiple comparison correction (Justin Chumbley)

Presentation slides: Multiple Testing

31.10.2014  –  Experimental design (Sandra Iglesias)

. . . → Read More: Methods and Models for fMRI analysis

CPS HS 2014

Computational Psychiatry Seminar HS 2014 Autism Spectrum Disorder (ASD)

Helene Haker, Maya Schneebeli, Klaas Enno Stephan

When: Friday 14:00 (sharp!) to 16:00, 19.09.2014 to 19.12.2014

Where: ETH Zürich, ETZ building (Gloriastrasse 35), room F 91 (F floor)

Credits: To receive credit points you can either (a) give one of the scheduled (N.N.) presentations, covering the topics and the literature suggested or (b) perform a computational modeling project and present it in the last session of the seminar (19.12.2014).

Download the full program with reading list: CPS_HS14_Autism_v1.4.pdf Download the suggested literature: Reading_CPS_HS14_Autism.zip Click on the name of the presenter to download . . . → Read More: CPS HS 2014

HS 2014

TUE

Research Topics in Biomedical Engineering Tuesday, 12:00-13:00 ETZ Building, E 6

Fallkolloquium Autismus Spektrum bei Erwachsenen Dienstag 16:00-18:00 (jeweils am 3. Dienstag im Monat), Gebäude WIL, TNU Besprechungsraum F105

WED

Computational Neuroimaging Clinic  (CNC) Wednesday, 14:00-16:00, WIL Building, TNU meeting room F105

EEG Course

THU

TNU Colloquium Thursday, 14:00 – 16:00, WIL Building, TNU meeting room F105

FRI

Methods & Models for fMRI Data Analysis (Lecture) Friday, 12:00-14:00, ETZ Building, F91

. . . → Read More: Teaching HS 2014

Fallkolloquium Autismus Spektrum bei Erwachsenen

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CP Spring 2014: Computational Neuropharmacology

The Computational Role of Neuromodulatory Transmitter Systems in Cortical Plasticity Andreea O. Diaconescu, David M. Cole and Klaas Enno Stephan

Where & when: The course takes place on Friday afternoons from 14.00-16.00 in room ETZ F 91 (ETZ building on Gloriastrasse) during the spring semester 02-05, 2014.

Topics and Reading List

Presentation slides: 1. Introduction to Neuropharmacology 2. Neuromodulators and their role in Cortical Plasticity 3. Computational and Physiological Models (Part 1) 4. Computational and Physiological Models (Part 2) 5. Dopamine in Learning and Plasticity 6(i). Dopamine and Schizophrenia . . . → Read More: CP Spring 2014: Computational Neuropharmacology