noorseijdel Goto Github PK

2019_scenecontext

Code for Seijdel, N., Tsakmakidis, N., de Haan, E.H.F., Bohte, S.M. & Scholte, H. S. (2020). Depth in convolutional neural networks solves scene segmentation

2019_scenestats

Code and data for Seijdel, N., Jahfari, S., Groen, I. I., & Scholte, H. S. (2020). Low-level image statistics in natural scenes influence perceptual decision-making.

2020_eeg_figureground

Code (and data) for Seijdel N*, Loke J*, van de Klundert R, van der Meer M, Quispel E, van Gaal S, de Haan EHF, & Scholte HS. (2021). *Journal of Neuroscience*.

2020_object_agnosia

Code and data for Seijdel, N., Scholte, H. S. & de Haan, E. H. F. (2021). Visual features drive the category-specific impairments on categorization tasks in a patient with object agnosia.

2020_reading_eeg

OB1 is a reading-model that simulates the processes behind reading in the brain. Here we simulate behavioral performance and word activations on two experimental word-recognition tasks: a flanker task and a sentence reading task.

course-content

Summer course content for Neuromatch Academy

fb.resnet.torch

Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts

flux

The FLUX pipeline for analysis of MEG data using MNE Python

megmvpa

MEG MVPA Tutorial

megparam

MEG data analyses for the Parameterizing Neural Power Spectra paper.

ni-edu

Student version of NI-edu courses

noorseijdel.github.io

Personal website

ob1_sam

Model that simulates the processes behind reading in the brain.

random_notebooks

Notebooks with all kinds of things I wanted to figure out (here for archiving purposes/may be of use to others?)

session1_recap_and_arrays

session4_oop

session5

The repository for session 5 of the IMPRS Python course.

tools

all kinds of random code tools

webpage-beautiful-jekyll

Website