# PNiP

Perceptual Neuroimaging in Practice

# Slides & Materials

Here you can find an overview of previous topics, complete with slides, example data and code for exercises and solutions. Note that most downloads are password protected, due to the use of real and raw example data. If you're part of the course or think you should have access for other reasons, just ping Ben for the password. Also note that PNiP conveniently skips the hard part - MRI physics. If you're interested in learning your spin precession, Bloch equation and k-Space, check out Marty Sereno's lecture series on the physics on youtube.

# PNiP 2023/24

What is fMRI and what can I do with it? (Ben)

Psychtoolbox (minimal experiment; Petros)

helpful installation tipps from Petra Borovska

Peter Scarfe's PTB exercises, including accurate timing

Hemodynamic Response Function (HRF; Gongting)

Quality Assurance (Micha)

Preprocessing I (Giulia)

Preprocessing II (Hilal)

GLM (first level; Zeynep)

GLM (2nd level; Lu)

Multiple testing & RFT (Johanna & Timo)

Functional connectivity (Bianca van Kemenade)

# PNiP 2021/22 (online)

Psychtoolbox (minimal experiment; Ben)

helpful installation tipps from Petra Borovska

Peter Scarfe's PTB exercises, including accurate timing

Hemodynamic Response Function (HRF; Ben)

Quality Assurance (Petra)

Preprocessing I & II (Aimee & Max)

1st level GLM (Diana)

2nd level GLM (Yilmaz)

Basis functions (Lefteris)

Multiple testing and random field theory (RFT; Shuchen)

Study design & efficiency (Pierre-Pascal)

Tractography (Mareike Grotheer)

Multivoxel pattern analysis (MVPA; Ben)

Representational similarity analysis (RSA; Daniel Kaiser)

Deep Neural Networks (DNNs; Katharina Dobs)

Surface reconstruction using FreeSurfer (Petra Borovska)

Encoding models and population receptive fields (pRFs; Sam Schwarzkopf)